1 00:00:09,499 --> 00:00:11,767 Hello to everyone welcome to 2 00:00:11,767 --> 00:00:13,166 Hello to everyone welcome to regular press conference on 3 00:00:13,166 --> 00:00:16,000 regular press conference on Covid- 19 from Geneva 4 00:00:16,000 --> 00:00:18,466 Covid- 19 from Geneva headquarters here in a rainy 5 00:00:18,466 --> 00:00:20,133 headquarters here in a rainy Geneva. we hear the rain 6 00:00:20,133 --> 00:00:23,566 Geneva. we hear the rain falling on the roof of the room 7 00:00:23,566 --> 00:00:25,200 falling on the roof of the room where we are. so if you hear 8 00:00:25,200 --> 00:00:26,567 where we are. so if you hear some noise, that’s that’s just 9 00:00:26,567 --> 00:00:29,866 some noise, that’s that’s just the storm that we are going to 10 00:00:29,866 --> 00:00:32,033 the storm that we are going to today with us so we have Doctor 11 00:00:32,033 --> 00:00:33,832 today with us so we have Doctor Doctor Tass in general Doctor 12 00:00:33,832 --> 00:00:36,167 Doctor Tass in general Doctor Maria Vann Kiko Doctor Mike and 13 00:00:36,167 --> 00:00:37,167 Maria Vann Kiko Doctor Mike and Mister Steve Solomon, who 14 00:00:37,167 --> 00:00:40,300 Mister Steve Solomon, who is our. 15 00:00:40,566 --> 00:00:42,000 Legal officer and may be asked 16 00:00:42,000 --> 00:00:44,333 Legal officer and may be asked to answer some of your 17 00:00:44,333 --> 00:00:46,000 to answer some of your questions before I give the 18 00:00:46,000 --> 00:00:46,933 questions before I give the floor to Doctor Tess just to 19 00:00:46,933 --> 00:00:50,966 floor to Doctor Tess just to remind everyone that if you are 20 00:00:50,966 --> 00:00:52,566 remind everyone that if you are raising hands to ask a 21 00:00:52,566 --> 00:00:54,800 raising hands to ask a question, you will have to mute 22 00:00:54,800 --> 00:00:57,566 question, you will have to mute yourself. we have a 23 00:00:57,566 --> 00:00:58,300 yourself. we have a interpretation’s simultaneous 24 00:00:58,300 --> 00:01:00,533 interpretation’s simultaneous interpretation in six languages 25 00:01:00,533 --> 00:01:02,967 interpretation in six languages plus Portuguese plus in the and 26 00:01:02,967 --> 00:01:04,300 plus Portuguese plus in the and I think the interpreters for 27 00:01:04,300 --> 00:01:06,133 I think the interpreters for being with us. We also send you 28 00:01:06,133 --> 00:01:08,833 being with us. We also send you a number of press releases and 29 00:01:08,833 --> 00:01:10,100 a number of press releases and the information from our 30 00:01:10,100 --> 00:01:13,333 the information from our regional citizenss. About a 31 00:01:13,333 --> 00:01:17,600 regional citizenss. About a press conference tomorrow at I 32 00:01:17,600 --> 00:01:22,534 press conference tomorrow at I think 11 o ’clock from our 33 00:01:22,534 --> 00:01:24,533 think 11 o ’clock from our regional office for 34 00:01:24,533 --> 00:01:26,000 regional office for humanitarian in Kyra, so I will 35 00:01:26,000 --> 00:01:27,500 humanitarian in Kyra, so I will give a shout out to doctor 36 00:01:27,500 --> 00:01:30,999 give a shout out to doctor Toros for his opening remarks. 37 00:01:30,999 --> 00:01:31,032 Toros for his opening remarks. Thank 38 00:01:31,032 --> 00:01:35,434 Thank you. Thank you and thank 39 00:01:35,434 --> 00:01:38,266 Thank you. Thank you and thank you all joining in today’s 40 00:01:38,266 --> 00:01:42,000 you all joining in today’s press conference Good morning, 41 00:01:42,000 --> 00:01:43,466 press conference Good morning, Good afternoon and good 42 00:01:43,466 --> 00:01:46,000 Good afternoon and good evening. There have now been 43 00:01:46,000 --> 00:01:48,466 evening. There have now been more than four million cases of 44 00:01:48,466 --> 00:01:53,533 more than four million cases of covid- 19 across the world over 45 00:01:53,533 --> 00:01:55,766 covid- 19 across the world over the past week. Several 46 00:01:55,766 --> 00:01:57,866 the past week. Several countries have started lifting 47 00:01:57,866 --> 00:01:58,932 countries have started lifting stay-at-home orders and other 48 00:01:58,932 --> 00:02:02,932 stay-at-home orders and other restrictions in a phased way. 49 00:02:03,733 --> 00:02:05,667 Countries put this stringent 50 00:02:05,667 --> 00:02:08,532 Countries put this stringent measures in place sometimes 51 00:02:08,532 --> 00:02:13,500 measures in place sometimes called lockdowns in response to 52 00:02:13,500 --> 00:02:14,833 called lockdowns in response to interns transmission. Many have 53 00:02:14,833 --> 00:02:17,432 interns transmission. Many have used the time to ramp up their 54 00:02:17,432 --> 00:02:21,367 used the time to ramp up their ability to test trash isolate 55 00:02:21,367 --> 00:02:23,866 ability to test trash isolate and cared for patients, which 56 00:02:23,866 --> 00:02:26,067 and cared for patients, which is the best way to track the 57 00:02:26,067 --> 00:02:29,467 is the best way to track the virus slow the spread and take 58 00:02:29,467 --> 00:02:33,333 virus slow the spread and take pressure of the health systems. 59 00:11:32,400 --> 00:11:35,033 Geneva based correspondent for 60 00:11:35,033 --> 00:11:37,367 Geneva based correspondent for a number of South African, I 61 00:11:37,367 --> 00:11:40,400 a number of South African, I think media Peter can you hear 62 00:11:40,400 --> 00:11:41,866 think media Peter can you hear us? you’re second here you I’d 63 00:11:41,866 --> 00:11:43,467 us? you’re second here you I’d like to ask my question to 64 00:11:43,467 --> 00:11:45,699 like to ask my question to doctor Tds. you’ve spoken about 65 00:11:45,699 --> 00:11:48,566 doctor Tds. you’ve spoken about the importance of keeping 66 00:11:48,566 --> 00:11:50,532 the importance of keeping health workers as healthy 67 00:11:50,532 --> 00:11:52,366 health workers as healthy tomorrow is International 68 00:11:52,366 --> 00:11:55,900 tomorrow is International Nurses Day and last week we had 69 00:11:55,900 --> 00:11:58,400 Nurses Day and last week we had a statement from the 70 00:11:58,400 --> 00:12:00,000 a statement from the International Council of Nurses 71 00:12:00,000 --> 00:12:02,933 International Council of Nurses that 90000 nurses or health 72 00:12:02,933 --> 00:12:04,767 that 90000 nurses or health workers have been infected and 73 00:12:04,767 --> 00:12:09,233 workers have been infected and 260 have died. Do you have? 74 00:12:10,433 --> 00:12:11,967 Accurate statistics on this and 75 00:12:11,967 --> 00:12:15,867 Accurate statistics on this and can you comment on it? please. 76 00:12:16,933 --> 00:12:18,900 Thank you for this very 77 00:12:18,900 --> 00:12:20,666 Thank you for this very important question so health 78 00:12:20,666 --> 00:12:22,999 important question so health care workers who are on the 79 00:12:22,999 --> 00:12:24,533 care workers who are on the front lines of caring for 80 00:12:24,533 --> 00:12:27,000 front lines of caring for patients and caring for our 81 00:12:27,000 --> 00:12:27,700 patients and caring for our loved ones who are infected 82 00:12:27,700 --> 00:12:30,000 loved ones who are infected with Coven, 19, are a priority 83 00:12:30,000 --> 00:12:31,333 with Coven, 19, are a priority to ensure that they stay 84 00:12:31,333 --> 00:12:35,000 to ensure that they stay healthy. we are working with 85 00:12:35,000 --> 00:12:35,567 healthy. we are working with our infection, prevention and 86 00:12:35,567 --> 00:12:37,733 our infection, prevention and control specialists across the 87 00:12:37,733 --> 00:12:39,333 control specialists across the world to ensure that the 88 00:12:39,333 --> 00:12:40,633 world to ensure that the guidance that we have out 89 00:12:40,633 --> 00:12:42,067 guidance that we have out ensures that they are protected 90 00:12:42,067 --> 00:12:44,767 ensures that they are protected when caring for patients. we 91 00:12:44,767 --> 00:12:47,433 when caring for patients. we are looking at the number of 92 00:12:47,433 --> 00:12:48,900 are looking at the number of health care worker infections 93 00:12:48,900 --> 00:12:49,433 health care worker infections that have been reported 94 00:12:49,433 --> 00:12:50,000 that have been reported globally and there’s an 95 00:12:50,000 --> 00:12:53,799 globally and there’s an alarming number of health care. 96 00:12:54,000 --> 00:12:54,932 Infections and in some 97 00:12:54,932 --> 00:12:56,832 Infections and in some countries upwards of 10 percent 98 00:12:56,832 --> 00:12:59,033 countries upwards of 10 percent of the reported cases are among 99 00:12:59,033 --> 00:13:00,933 of the reported cases are among health care workers. what we’ve 100 00:13:00,933 --> 00:13:02,299 health care workers. what we’ve done and what we are continuing 101 00:13:02,299 --> 00:13:05,067 done and what we are continuing to do is to better understand 102 00:13:05,067 --> 00:13:06,100 to do is to better understand where health care workers are 103 00:13:06,100 --> 00:13:07,667 where health care workers are getting infected. Why health 104 00:13:07,667 --> 00:13:08,999 getting infected. Why health care workers are getting 105 00:13:08,999 --> 00:13:11,000 care workers are getting infected and how can we ensure 106 00:13:11,000 --> 00:13:12,767 infected and how can we ensure that this is reduced in this 107 00:13:12,767 --> 00:13:15,433 that this is reduced in this stops? what we understand from 108 00:13:15,433 --> 00:13:17,000 stops? what we understand from the studies that are being 109 00:13:17,000 --> 00:13:20,367 the studies that are being reported and from our 110 00:13:20,367 --> 00:13:21,133 reported and from our teleconferences that we are 111 00:13:21,133 --> 00:13:22,867 teleconferences that we are having with clinicians and with 112 00:13:22,867 --> 00:13:24,800 having with clinicians and with infection control specialists 113 00:13:24,800 --> 00:13:25,333 infection control specialists is that many health care 114 00:13:25,333 --> 00:13:26,700 is that many health care workers have had contact with 115 00:13:26,700 --> 00:13:30,366 workers have had contact with no. Case that is in that is 116 00:13:30,366 --> 00:13:32,733 no. Case that is in that is among a family member, which 117 00:13:32,733 --> 00:13:33,900 among a family member, which indicates that many of them 118 00:13:33,900 --> 00:13:35,733 indicates that many of them have been infected outside of 119 00:13:35,733 --> 00:13:38,299 have been infected outside of the health care facility. some 120 00:13:38,299 --> 00:13:39,800 the health care facility. some health care workers are getting 121 00:13:39,800 --> 00:13:41,233 health care workers are getting infected inside the health care 122 00:13:41,233 --> 00:13:42,866 infected inside the health care worker facilities and the 123 00:13:42,866 --> 00:13:43,667 worker facilities and the studies that are coming out are 124 00:13:43,667 --> 00:13:45,133 studies that are coming out are giving us a clearer picture of 125 00:13:45,133 --> 00:13:48,367 giving us a clearer picture of why this may be first is that 126 00:13:48,367 --> 00:13:50,966 why this may be first is that early on in the pandemic and 127 00:13:50,966 --> 00:13:51,733 early on in the pandemic and early on in countries where 128 00:13:51,733 --> 00:13:53,767 early on in countries where there’s starting to see initial 129 00:13:53,767 --> 00:13:56,600 there’s starting to see initial cases, many of those cases are 130 00:13:56,600 --> 00:13:58,000 cases, many of those cases are identified in wards that aren’t 131 00:13:58,000 --> 00:14:00,466 identified in wards that aren’t used to infectious diseases. 132 00:14:00,466 --> 00:14:01,333 used to infectious diseases. They’re not used to respiratory 133 00:14:01,333 --> 00:14:01,966 They’re not used to respiratory infectious diseases and in many 134 00:14:01,966 --> 00:14:06,133 infectious diseases and in many of those words. Long term care 135 00:14:06,133 --> 00:14:07,466 of those words. Long term care facilities or geriatric Ward, 136 00:14:07,466 --> 00:14:11,432 facilities or geriatric Ward, they’re not wearing contact 137 00:14:11,432 --> 00:14:13,033 they’re not wearing contact personal protective equipment 138 00:14:13,033 --> 00:14:15,066 personal protective equipment protecting against respiratory 139 00:14:15,066 --> 00:14:17,900 protecting against respiratory droplets once a coed patient is 140 00:14:17,900 --> 00:14:19,333 droplets once a coed patient is identified and the appropriate 141 00:14:19,333 --> 00:14:21,866 identified and the appropriate P is used then we can prevent 142 00:14:21,866 --> 00:14:24,367 P is used then we can prevent transmission. the other reasons 143 00:14:24,367 --> 00:14:25,133 transmission. the other reasons why we’re seeing health care 144 00:14:25,133 --> 00:14:27,400 why we’re seeing health care worker infections are extended 145 00:14:27,400 --> 00:14:29,100 worker infections are extended periods in wards. we’re 146 00:14:29,100 --> 00:14:30,733 periods in wards. we’re individuals are working very 147 00:14:30,733 --> 00:14:32,000 individuals are working very long shifts in some situations 148 00:14:32,000 --> 00:14:36,266 long shifts in some situations that have. Had adequate PE, 149 00:14:36,266 --> 00:14:38,000 that have. Had adequate PE, which includes Mass goggles 150 00:14:38,000 --> 00:14:41,767 which includes Mass goggles face Shields gowns gloves in 151 00:14:41,767 --> 00:14:43,432 face Shields gowns gloves in some hospitals there has been a 152 00:14:43,432 --> 00:14:46,466 some hospitals there has been a reports reports of sub optimal 153 00:14:46,466 --> 00:14:49,133 reports reports of sub optimal hand hygiene so making sure 154 00:14:49,133 --> 00:14:49,900 hand hygiene so making sure that health care workers use 155 00:14:49,900 --> 00:14:54,000 that health care workers use hand hygiene is very important. 156 00:14:54,000 --> 00:14:55,833 hand hygiene is very important. what we do also see from these 157 00:14:55,833 --> 00:14:57,100 what we do also see from these studies is that when health 158 00:14:57,100 --> 00:14:59,400 studies is that when health care workers do wear 159 00:14:59,400 --> 00:15:01,600 care workers do wear appropriate PPE, which includes 160 00:15:01,600 --> 00:15:03,832 appropriate PPE, which includes respiratory protecting. 161 00:15:03,832 --> 00:15:07,400 respiratory protecting. Respiratory droplets and 162 00:15:07,400 --> 00:15:08,266 Respiratory droplets and contact transmission and in 163 00:15:08,266 --> 00:15:10,600 contact transmission and in situations where aerosol 164 00:15:10,600 --> 00:15:11,367 situations where aerosol generating procedures are 165 00:15:11,367 --> 00:15:12,866 generating procedures are conducted and there’s airborne 166 00:15:12,866 --> 00:15:14,533 conducted and there’s airborne precautions are necessary. 167 00:15:14,533 --> 00:15:15,466 precautions are necessary. We’re not seeing that 168 00:15:15,466 --> 00:15:16,932 We’re not seeing that transmission take place so that 169 00:15:16,932 --> 00:15:19,600 transmission take place so that is really critical, but we are 170 00:15:19,600 --> 00:15:20,900 is really critical, but we are constantly looking at the 171 00:15:20,900 --> 00:15:22,232 constantly looking at the literature that is coming out 172 00:15:22,232 --> 00:15:24,000 literature that is coming out to better understand how we can 173 00:15:24,000 --> 00:15:25,133 to better understand how we can better protect health care 174 00:15:25,133 --> 00:15:26,599 better protect health care workers. We can ensure that 175 00:15:26,599 --> 00:15:27,967 workers. We can ensure that their shifts are shorter that 176 00:15:27,967 --> 00:15:29,533 their shifts are shorter that they have adequate rest periods 177 00:15:29,533 --> 00:15:30,133 they have adequate rest periods that we look out for their 178 00:15:30,133 --> 00:15:30,799 that we look out for their mental health and their 179 00:15:30,799 --> 00:15:34,466 mental health and their well-being and at. Adequate 180 00:15:34,466 --> 00:15:35,200 well-being and at. Adequate supplies of personal protective 181 00:15:35,200 --> 00:15:38,366 supplies of personal protective equipment. 182 00:15:40,333 --> 00:15:42,666 I could just that when we 183 00:15:42,666 --> 00:15:45,600 I could just that when we define health care worker, I 184 00:15:45,600 --> 00:15:47,300 define health care worker, I mean we we sometimes imagine 185 00:15:47,300 --> 00:15:48,333 mean we we sometimes imagine that health care workers 186 00:15:48,333 --> 00:15:50,933 that health care workers working in very sophisticated 187 00:15:50,933 --> 00:15:52,133 working in very sophisticated torry facilities. a lot of 188 00:15:52,133 --> 00:15:53,432 torry facilities. a lot of health care workers have been 189 00:15:53,432 --> 00:15:54,933 health care workers have been affected in the front lines in 190 00:15:54,933 --> 00:15:56,500 affected in the front lines in long-term care facilities as 191 00:15:56,500 --> 00:15:58,600 long-term care facilities as well and in primary health care 192 00:15:58,600 --> 00:16:00,467 well and in primary health care to general practitioners. so 193 00:16:00,467 --> 00:16:04,466 to general practitioners. so the the the the the protecting 194 00:16:04,466 --> 00:16:08,100 the the the the the protecting workers who work in covid- 19, 195 00:16:08,100 --> 00:16:09,733 workers who work in covid- 19, isolation units and intensive 196 00:16:09,733 --> 00:16:10,467 isolation units and intensive care can work extremely well. 197 00:16:10,467 --> 00:16:11,266 care can work extremely well. They have the right equipment 198 00:16:11,266 --> 00:16:12,000 They have the right equipment and training, but we also have 199 00:16:12,000 --> 00:16:14,967 and training, but we also have to look at the. Management for 200 00:16:14,967 --> 00:16:16,666 to look at the. Management for those other frontline workers 201 00:16:16,666 --> 00:16:18,066 those other frontline workers who may come into contact with 202 00:16:18,066 --> 00:16:20,266 who may come into contact with covid- 19 cases to ensure that 203 00:16:20,266 --> 00:16:21,866 covid- 19 cases to ensure that they are adequately protected 204 00:16:21,866 --> 00:16:24,366 they are adequately protected too. So it’s a complex issue 205 00:16:24,366 --> 00:16:26,000 too. So it’s a complex issue and the definition of health 206 00:16:26,000 --> 00:16:27,666 and the definition of health worker in this case is 207 00:16:27,666 --> 00:16:30,767 worker in this case is very broad. 208 00:16:31,600 --> 00:16:33,900 Thank you very much for this 209 00:16:33,900 --> 00:16:36,532 Thank you very much for this answer before we go to the next 210 00:16:36,532 --> 00:16:38,567 answer before we go to the next question just to remind that we 211 00:16:38,567 --> 00:16:40,500 question just to remind that we are operating with Zoom so 212 00:16:40,500 --> 00:16:43,399 are operating with Zoom so people wanting to listen Hindi 213 00:16:43,399 --> 00:16:44,433 people wanting to listen Hindi interpretation. we’ll have to 214 00:16:44,433 --> 00:16:47,500 interpretation. we’ll have to go to settings and choose 215 00:16:47,500 --> 00:16:48,433 go to settings and choose japanese-language and those who 216 00:16:48,433 --> 00:16:50,067 japanese-language and those who would like to listen in Arabic 217 00:16:50,067 --> 00:16:53,266 would like to listen in Arabic they have to choose Korea 218 00:16:53,266 --> 00:16:54,500 they have to choose Korea language next question and you 219 00:16:54,500 --> 00:16:56,132 language next question and you call us me from Telegraph 220 00:16:56,132 --> 00:16:59,233 call us me from Telegraph Nicola. 221 00:17:01,833 --> 00:17:03,500 Nicole Yes, you hear me. Yes. 222 00:17:03,500 --> 00:17:06,100 Nicole Yes, you hear me. Yes. it’s okay. Can you hear me? 223 00:17:06,100 --> 00:17:07,533 it’s okay. Can you hear me? Yes. Thanks for the question. 224 00:17:07,533 --> 00:17:10,167 Yes. Thanks for the question. It’s on the subject of Taiwan’s 225 00:17:10,167 --> 00:17:13,067 It’s on the subject of Taiwan’s invitation to the WHO the W H A 226 00:17:13,067 --> 00:17:15,467 invitation to the WHO the W H A as an observer to Doctor Tds 227 00:17:15,467 --> 00:17:18,033 as an observer to Doctor Tds last week, the WHO implies it’s 228 00:17:18,033 --> 00:17:20,466 last week, the WHO implies it’s a sticking point was based on 229 00:17:20,466 --> 00:17:22,000 a sticking point was based on UN resolutions that recognized 230 00:17:22,000 --> 00:17:24,467 UN resolutions that recognized only representatives of the PRC 231 00:17:24,467 --> 00:17:26,932 only representatives of the PRC represent China at the W H, A 232 00:17:26,932 --> 00:17:28,532 represent China at the W H, A however, Taiwan’s Foreign 233 00:17:28,532 --> 00:17:29,233 however, Taiwan’s Foreign Minister Taiwanese lawyers say 234 00:17:29,233 --> 00:17:30,067 Minister Taiwanese lawyers say that the resolutions only 235 00:17:30,067 --> 00:17:31,267 that the resolutions only address the question of China’s 236 00:17:31,267 --> 00:17:34,667 address the question of China’s representation. And not the 237 00:17:34,667 --> 00:17:36,899 representation. And not the separate issue of Taiwan’s 238 00:17:36,899 --> 00:17:38,666 separate issue of Taiwan’s attendance given that Beijing 239 00:17:38,666 --> 00:17:41,300 attendance given that Beijing one China principle is not 240 00:17:41,300 --> 00:17:43,432 one China principle is not international law and not 241 00:17:43,432 --> 00:17:44,000 international law and not universally recognized critics 242 00:17:44,000 --> 00:17:48,899 universally recognized critics of the WHO and and the director 243 00:17:48,899 --> 00:17:50,400 of the WHO and and the director General’s reluctance to invite 244 00:17:50,400 --> 00:17:51,933 General’s reluctance to invite Taiwan so that you’re making a 245 00:17:51,933 --> 00:17:53,567 Taiwan so that you’re making a political call if you fall into 246 00:17:53,567 --> 00:17:55,732 political call if you fall into line with Beijing, excuse issue 247 00:17:55,732 --> 00:17:59,233 line with Beijing, excuse issue how would you respond to that? 248 00:18:00,667 --> 00:18:03,799 Thing. 249 00:18:04,432 --> 00:18:06,000 Thank you and thank you. Thank 250 00:18:06,000 --> 00:18:07,567 Thank you and thank you. Thank you for the question. There are 251 00:18:07,567 --> 00:18:09,399 you for the question. There are five points. I’d like to make 252 00:18:09,399 --> 00:18:11,432 five points. I’d like to make to respond to that question. 253 00:18:11,432 --> 00:18:13,733 to respond to that question. First, the Secretary. It works 254 00:18:13,733 --> 00:18:14,832 First, the Secretary. It works within the framework of rules 255 00:18:14,832 --> 00:18:17,666 within the framework of rules and policies decided by the 194 256 00:18:17,666 --> 00:18:20,600 and policies decided by the 194 member States of WHO these 257 00:18:20,600 --> 00:18:21,833 member States of WHO these include the decision. You 258 00:18:21,833 --> 00:18:23,400 include the decision. You mentioned the the decision by 259 00:18:23,400 --> 00:18:26,866 mentioned the the decision by WHO member States made 40 - 260 00:18:26,866 --> 00:18:28,432 WHO member States made 40 - nine years ago. That’s still 261 00:18:28,432 --> 00:18:30,000 nine years ago. That’s still applies with the Health 262 00:18:30,000 --> 00:18:30,967 applies with the Health Assembly decided that the 263 00:18:30,967 --> 00:18:32,299 Assembly decided that the People’s Republic of China is 264 00:18:32,299 --> 00:18:33,666 People’s Republic of China is the and I’m quoting here. 265 00:18:33,666 --> 00:18:36,866 the and I’m quoting here. Is the only. Legitimate 266 00:18:36,866 --> 00:18:38,466 Is the only. Legitimate representative of China to the 267 00:18:38,466 --> 00:18:40,000 representative of China to the World Health Organization, 268 00:18:40,000 --> 00:18:42,666 World Health Organization, close, quote and further 269 00:18:42,666 --> 00:18:43,966 close, quote and further decided and I’m quoting again 270 00:18:43,966 --> 00:18:46,266 decided and I’m quoting again quote to expel the 271 00:18:46,266 --> 00:18:47,967 quote to expel the representatives of Shanghai 272 00:18:47,967 --> 00:18:50,400 representatives of Shanghai Shaq from the place, which they 273 00:18:50,400 --> 00:18:53,032 Shaq from the place, which they unlawfully occupied at the 274 00:18:53,032 --> 00:18:55,600 unlawfully occupied at the World Health Organization Close 275 00:18:55,600 --> 00:19:00,133 World Health Organization Close Quote. Second point is WHO 276 00:19:00,133 --> 00:19:02,333 Quote. Second point is WHO experts turning to the issue of 277 00:19:02,333 --> 00:19:04,999 experts turning to the issue of technical work, WH experts 278 00:19:04,999 --> 00:19:06,599 technical work, WH experts recognized and have publicly 279 00:19:06,599 --> 00:19:07,266 recognized and have publicly said here at these press 280 00:19:07,266 --> 00:19:10,800 said here at these press conferences and other and 281 00:19:10,800 --> 00:19:10,900 conferences and other and Otherwise, 282 00:19:10,900 --> 00:19:11,866 Otherwise, the Taiwanese 283 00:19:11,866 --> 00:19:14,000 Otherwise, the Taiwanese authorities have mounted a very 284 00:19:14,000 --> 00:19:16,500 authorities have mounted a very successful response to the 285 00:19:16,500 --> 00:19:17,832 successful response to the outbreak and have good 286 00:19:17,832 --> 00:19:19,866 outbreak and have good experience to offer their 287 00:19:19,866 --> 00:19:21,666 experience to offer their technical contributions to W H 288 00:19:21,666 --> 00:19:25,632 technical contributions to W H O ’s prot response expert 289 00:19:25,632 --> 00:19:27,832 O ’s prot response expert processes, including three WHO 290 00:19:27,832 --> 00:19:28,800 processes, including three WHO networks clinical network, the 291 00:19:28,800 --> 00:19:30,100 networks clinical network, the infection Prevention and 292 00:19:30,100 --> 00:19:32,000 infection Prevention and Control network, and recently 293 00:19:32,000 --> 00:19:34,232 Control network, and recently the vaccine that they work on 294 00:19:34,232 --> 00:19:36,599 the vaccine that they work on the with the WHO global 295 00:19:36,599 --> 00:19:38,133 the with the WHO global research and innovation form 296 00:19:38,133 --> 00:19:39,733 research and innovation form where they sent two experts 297 00:19:39,733 --> 00:19:44,366 where they sent two experts and their. I H R E I S System 298 00:19:44,366 --> 00:19:48,100 and their. I H R E I S System connectivity all of our 299 00:19:48,100 --> 00:19:49,567 connectivity all of our examples of where they have 300 00:19:49,567 --> 00:19:51,900 examples of where they have contributed significantly and 301 00:19:51,900 --> 00:19:54,100 contributed significantly and their contributions. There are 302 00:19:54,100 --> 00:19:57,566 their contributions. There are appreciated third, WHO is 303 00:19:57,566 --> 00:19:59,599 appreciated third, WHO is premise on the principle that 304 00:19:59,599 --> 00:20:01,366 premise on the principle that the enjoyment of the highest 305 00:20:01,366 --> 00:20:02,299 the enjoyment of the highest attainable standard of health 306 00:20:02,299 --> 00:20:04,266 attainable standard of health is one of the fundamental 307 00:20:04,266 --> 00:20:05,967 is one of the fundamental rights of every human being 308 00:20:05,967 --> 00:20:07,933 rights of every human being without distinction of race, 309 00:20:07,933 --> 00:20:09,633 without distinction of race, religion political beliefs, 310 00:20:09,633 --> 00:20:12,700 religion political beliefs, economic or social. This is in 311 00:20:12,700 --> 00:20:15,466 economic or social. This is in the W H O N Constitution. It’s 312 00:20:15,466 --> 00:20:20,333 the W H O N Constitution. It’s part of our DNA as an 313 00:20:20,333 --> 00:20:22,432 part of our DNA as an Organization fourth, the DG, 314 00:20:22,432 --> 00:20:24,066 Organization fourth, the DG, the Director general, is the 315 00:20:24,066 --> 00:20:25,599 the Director general, is the Secretary of the Health 316 00:20:25,599 --> 00:20:27,867 Secretary of the Health Assembly, according to the 317 00:20:27,867 --> 00:20:29,432 Assembly, according to the Constitution member States and 318 00:20:29,432 --> 00:20:31,100 Constitution member States and only member States determined 319 00:20:31,100 --> 00:20:32,433 only member States determined the policies of the 320 00:20:32,433 --> 00:20:34,432 the policies of the Organization at those meetings 321 00:20:34,432 --> 00:20:36,532 Organization at those meetings make the final decision on what 322 00:20:36,532 --> 00:20:38,899 make the final decision on what they will discuss and they 323 00:20:38,899 --> 00:20:39,966 they will discuss and they themselves determine who 324 00:20:39,966 --> 00:20:44,533 themselves determine who attends as a. Ervers to put it 325 00:20:44,533 --> 00:20:47,333 attends as a. Ervers to put it crisply director General’s only 326 00:20:47,333 --> 00:20:49,000 crisply director General’s only extend invitations when it’s 327 00:20:49,000 --> 00:20:51,333 extend invitations when it’s clear that member States 328 00:20:51,333 --> 00:20:54,433 clear that member States support doing so that that 329 00:20:54,433 --> 00:20:55,699 support doing so that that director generals have a 330 00:20:55,699 --> 00:21:00,366 director generals have a mandate a basis to do so, For 331 00:21:00,366 --> 00:21:02,466 mandate a basis to do so, For example, the Holy Sea was 332 00:21:02,466 --> 00:21:04,499 example, the Holy Sea was invited by the then Director 333 00:21:04,499 --> 00:21:07,333 invited by the then Director general in 1949 when the Health 334 00:21:07,333 --> 00:21:09,899 general in 1949 when the Health Assembly was held in Rome, then 335 00:21:09,899 --> 00:21:12,833 Assembly was held in Rome, then in 1950, the ICRC was invited 336 00:21:12,833 --> 00:21:13,433 in 1950, the ICRC was invited and then in successive years 337 00:21:13,433 --> 00:21:17,699 and then in successive years number of examples. The I F R 338 00:21:17,699 --> 00:21:20,100 number of examples. The I F R C, the Global Fund Gabby, among 339 00:21:20,100 --> 00:21:23,033 C, the Global Fund Gabby, among a few others for all of these 340 00:21:23,033 --> 00:21:24,699 a few others for all of these for all of these members. state 341 00:21:24,699 --> 00:21:28,333 for all of these members. state support was very clear and from 342 00:21:28,333 --> 00:21:31,800 support was very clear and from 2009 to 2016, Taiwan was 343 00:21:31,800 --> 00:21:33,333 2009 to 2016, Taiwan was invited by the then Director 344 00:21:33,333 --> 00:21:35,099 invited by the then Director General as an observer at the 345 00:21:35,099 --> 00:21:37,466 General as an observer at the Health Assembly as Chinese 346 00:21:37,466 --> 00:21:41,400 Health Assembly as Chinese Taipei on the same basis, then 347 00:21:41,400 --> 00:21:43,033 Taipei on the same basis, then two member States support was 348 00:21:43,033 --> 00:21:44,566 two member States support was clear. It was clear then 349 00:21:44,566 --> 00:21:45,967 clear. It was clear then because it diplomatically 350 00:21:45,967 --> 00:21:47,033 because it diplomatically agreeable solution had been 351 00:21:47,033 --> 00:21:50,899 agreeable solution had been found and member States. 352 00:22:23,333 --> 00:22:26,233 Make a decision on an 353 00:22:26,233 --> 00:22:27,833 Make a decision on an invitation that is procedural 354 00:22:27,833 --> 00:22:29,099 invitation that is procedural how it is supposed to work 355 00:22:29,099 --> 00:22:32,433 how it is supposed to work under the Constitution. All 194 356 00:22:32,433 --> 00:22:34,433 under the Constitution. All 194 member States can consider the 357 00:22:34,433 --> 00:22:35,833 member States can consider the issue collectively in 358 00:22:35,833 --> 00:22:37,967 issue collectively in accordance with the rules of 359 00:22:37,967 --> 00:22:39,499 accordance with the rules of procedure Member States can 360 00:22:39,499 --> 00:22:42,100 procedure Member States can also choose to look for a 361 00:22:42,100 --> 00:22:43,433 also choose to look for a diplomatically agreeable 362 00:22:43,433 --> 00:22:45,033 diplomatically agreeable solution for handling this 363 00:22:45,033 --> 00:22:46,400 solution for handling this issue. They have done so many 364 00:22:46,400 --> 00:22:49,967 issue. They have done so many times in the past working 365 00:22:49,967 --> 00:22:53,433 times in the past working together success. That depends 366 00:22:53,433 --> 00:22:56,000 together success. That depends on political will and political 367 00:22:56,000 --> 00:22:56,633 on political will and political engagement, which underscores 368 00:22:56,633 --> 00:22:59,000 engagement, which underscores the point that this is a 369 00:22:59,000 --> 00:23:00,800 the point that this is a political issue that is 370 00:23:00,800 --> 00:23:01,700 political issue that is properly in the hands of member 371 00:23:01,700 --> 00:23:04,966 properly in the hands of member States. Thank you. 372 00:23:05,867 --> 00:23:07,967 Thank you very much mister 373 00:23:07,967 --> 00:23:09,799 Thank you very much mister Solomon for this explanation. 374 00:23:09,799 --> 00:23:13,900 Solomon for this explanation. we will now go to Karim from 375 00:23:13,900 --> 00:23:16,633 we will now go to Karim from Azerbaijan TV reality TV come 376 00:23:16,633 --> 00:23:17,866 Azerbaijan TV reality TV come around on me too, so if 377 00:23:17,866 --> 00:23:21,300 around on me too, so if possible, please. 378 00:23:24,000 --> 00:23:26,667 Hello do we have come on Asimov 379 00:23:26,667 --> 00:23:29,800 Hello do we have come on Asimov online? 380 00:23:45,367 --> 00:23:48,000 Alright, Thanks for taking my 381 00:23:48,000 --> 00:23:49,100 Alright, Thanks for taking my question. it’s about the you 382 00:23:49,100 --> 00:23:53,367 question. it’s about the you can hear me. Yes. okay. it’s 383 00:23:53,367 --> 00:23:56,133 can hear me. Yes. okay. it’s about the guidance for 384 00:23:56,133 --> 00:23:57,467 about the guidance for reopening of schools and 385 00:23:57,467 --> 00:23:58,566 reopening of schools and workplaces schools. in 386 00:23:58,566 --> 00:23:59,367 workplaces schools. in particular they have been 387 00:23:59,367 --> 00:24:00,999 particular they have been doctored, said schools need to 388 00:24:00,999 --> 00:24:03,833 doctored, said schools need to have a clear understanding of 389 00:24:03,833 --> 00:24:05,633 have a clear understanding of virus transmission in relation 390 00:24:05,633 --> 00:24:09,100 virus transmission in relation to children and the extent of 391 00:24:09,100 --> 00:24:12,100 to children and the extent of how the virus affects children. 392 00:24:12,100 --> 00:24:13,400 how the virus affects children. unless I’ve missed something we 393 00:24:13,400 --> 00:24:16,233 unless I’ve missed something we don’t understand that yet so. 394 00:24:16,233 --> 00:24:17,900 don’t understand that yet so. It is the implication that 395 00:24:17,900 --> 00:24:21,700 It is the implication that school shouldn’t reopen. 396 00:24:22,599 --> 00:24:25,033 So I can start with that and 397 00:24:25,033 --> 00:24:26,933 So I can start with that and and perhaps you would like to 398 00:24:26,933 --> 00:24:28,900 and perhaps you would like to supplement so in the 399 00:24:28,900 --> 00:24:30,834 supplement so in the considerations for reopening or 400 00:24:30,834 --> 00:24:32,967 considerations for reopening or adjusting any of the of the 401 00:24:32,967 --> 00:24:33,633 adjusting any of the of the measures is based on our 402 00:24:33,633 --> 00:24:34,933 measures is based on our understanding of this virus and 403 00:24:34,933 --> 00:24:37,534 understanding of this virus and how this fires behaves one of 404 00:24:37,534 --> 00:24:39,299 how this fires behaves one of the considerations for schools 405 00:24:39,299 --> 00:24:40,899 the considerations for schools where children are is our 406 00:24:40,899 --> 00:24:42,499 where children are is our understanding of of the virus 407 00:24:42,499 --> 00:24:44,033 understanding of of the virus in in children and that is 408 00:24:44,033 --> 00:24:45,299 in in children and that is something we are learning more 409 00:24:45,299 --> 00:24:46,833 something we are learning more and more about every single 410 00:24:46,833 --> 00:24:47,967 and more about every single day. we’ve talked about this at 411 00:24:47,967 --> 00:24:49,499 day. we’ve talked about this at some of the press’ previously 412 00:24:49,499 --> 00:24:52,699 some of the press’ previously about our understanding. Of the 413 00:24:52,699 --> 00:24:55,967 about our understanding. Of the reports of cases among children 414 00:24:55,967 --> 00:24:58,467 reports of cases among children by countries and that ranges 415 00:24:58,467 --> 00:25:00,100 by countries and that ranges between one and five percent of 416 00:25:00,100 --> 00:25:02,333 between one and five percent of the reported cases by country 417 00:25:02,333 --> 00:25:04,000 the reported cases by country we’re trying to understand why 418 00:25:04,000 --> 00:25:06,466 we’re trying to understand why there’s a low tax rate in the 419 00:25:06,466 --> 00:25:07,233 there’s a low tax rate in the children and why a smaller 420 00:25:07,233 --> 00:25:08,833 children and why a smaller proportion of children are 421 00:25:08,833 --> 00:25:10,699 proportion of children are being reported among the total 422 00:25:10,699 --> 00:25:11,800 being reported among the total number of cases being reported, 423 00:25:11,800 --> 00:25:14,333 number of cases being reported, and we’re trying to understand 424 00:25:14,333 --> 00:25:16,299 and we’re trying to understand transmission in children from 425 00:25:16,299 --> 00:25:17,833 transmission in children from the available studies that we 426 00:25:17,833 --> 00:25:18,833 the available studies that we have looking at household 427 00:25:18,833 --> 00:25:19,633 have looking at household transmission and these are very 428 00:25:19,633 --> 00:25:23,500 transmission and these are very deep. Studies that follow all 429 00:25:23,500 --> 00:25:24,633 deep. Studies that follow all of the people in the household 430 00:25:24,633 --> 00:25:25,899 of the people in the household and they test all of those 431 00:25:25,899 --> 00:25:28,499 and they test all of those people in the households we’ve 432 00:25:28,499 --> 00:25:30,867 people in the households we’ve seen transmission from adults 433 00:25:30,867 --> 00:25:32,466 seen transmission from adults to children primarily from 434 00:25:32,466 --> 00:25:34,133 to children primarily from adults to children. There have 435 00:25:34,133 --> 00:25:35,866 adults to children. There have been some instances of 436 00:25:35,866 --> 00:25:36,400 been some instances of transmission the other way 437 00:25:36,400 --> 00:25:38,000 transmission the other way around from children to adults, 438 00:25:38,000 --> 00:25:41,533 around from children to adults, but to a much lesser extent 439 00:25:41,533 --> 00:25:42,800 but to a much lesser extent there are some serial 440 00:25:42,800 --> 00:25:43,899 there are some serial epidemiological studies that 441 00:25:43,899 --> 00:25:45,499 epidemiological studies that are currently underway that are 442 00:25:45,499 --> 00:25:48,033 are currently underway that are looking at the extent of 443 00:25:48,033 --> 00:25:49,400 looking at the extent of infection as measured by 444 00:25:49,400 --> 00:25:50,000 infection as measured by antibody levels, so this is 445 00:25:50,000 --> 00:25:51,567 antibody levels, so this is measuring past infection among 446 00:25:51,567 --> 00:25:54,933 measuring past infection among children Very few of these 447 00:25:54,933 --> 00:25:56,833 children Very few of these studies available yet so we 448 00:25:56,833 --> 00:25:58,966 studies available yet so we don’t know if children are 449 00:25:58,966 --> 00:26:00,200 don’t know if children are being infected and we’re 450 00:26:00,200 --> 00:26:01,633 being infected and we’re missing them through the 451 00:26:01,633 --> 00:26:02,899 missing them through the current surveillance systems we 452 00:26:02,899 --> 00:26:05,433 current surveillance systems we do know with regards to 453 00:26:05,433 --> 00:26:06,866 do know with regards to severity that the majority the 454 00:26:06,866 --> 00:26:08,499 severity that the majority the vast majority of children who 455 00:26:08,499 --> 00:26:10,300 vast majority of children who are reported to be infected 456 00:26:10,300 --> 00:26:12,600 are reported to be infected with Coen 19 that they 457 00:26:12,600 --> 00:26:14,000 with Coen 19 that they experience a mild disease, 458 00:26:14,000 --> 00:26:15,166 experience a mild disease, although there are a small 459 00:26:15,166 --> 00:26:16,499 although there are a small number of children that have 460 00:26:16,499 --> 00:26:19,099 number of children that have had severe disease, critical 461 00:26:19,099 --> 00:26:20,400 had severe disease, critical disease and some children have 462 00:26:20,400 --> 00:26:22,933 disease and some children have died in terms of making the 463 00:26:22,933 --> 00:26:24,366 died in terms of making the decisions about opening 464 00:26:24,366 --> 00:26:25,866 decisions about opening schools, it’s very important to 465 00:26:25,866 --> 00:26:26,233 schools, it’s very important to understand the virus 466 00:26:26,233 --> 00:26:27,033 understand the virus circulation in the area of 467 00:26:27,033 --> 00:26:30,233 circulation in the area of where the schools are. what 468 00:26:30,233 --> 00:26:31,800 where the schools are. what does it look like? is there 469 00:26:31,800 --> 00:26:33,400 does it look like? is there intense transmission in that 470 00:26:33,400 --> 00:26:36,233 intense transmission in that geographic area? Is it not are 471 00:26:36,233 --> 00:26:39,433 geographic area? Is it not are the schools able to practice 472 00:26:39,433 --> 00:26:40,633 the schools able to practice physical distancing within the 473 00:26:40,633 --> 00:26:42,300 physical distancing within the school system itself. Are there 474 00:26:42,300 --> 00:26:42,899 school system itself. Are there different ways that they can 475 00:26:42,899 --> 00:26:44,699 different ways that they can set up the the classroom, for 476 00:26:44,699 --> 00:26:46,866 set up the the classroom, for example or the playtime or 477 00:26:46,866 --> 00:26:48,000 example or the playtime or lunch time so that they can 478 00:26:48,000 --> 00:26:49,967 lunch time so that they can keep children physically 479 00:26:49,967 --> 00:26:51,433 keep children physically separate. We know that there 480 00:26:51,433 --> 00:26:52,766 separate. We know that there are challenges with that for 481 00:26:52,766 --> 00:26:53,967 are challenges with that for younger children versus older 482 00:26:53,967 --> 00:26:55,699 younger children versus older children. There’s a lot of 483 00:26:55,699 --> 00:26:56,233 children. There’s a lot of considerations that need to be 484 00:26:56,233 --> 00:26:57,167 considerations that need to be taken into account when 485 00:26:57,167 --> 00:27:00,233 taken into account when deciding. 486 00:27:00,466 --> 00:27:01,833 And how to open schools, It’s 487 00:27:01,833 --> 00:27:02,866 And how to open schools, It’s not just a matter of if they 488 00:27:02,866 --> 00:27:03,633 not just a matter of if they should open. It’s how they 489 00:27:03,633 --> 00:27:06,433 should open. It’s how they should open and there’s a lot 490 00:27:06,433 --> 00:27:08,533 should open and there’s a lot of detrimental effects to 491 00:27:08,533 --> 00:27:09,966 of detrimental effects to children who are not in school 492 00:27:09,966 --> 00:27:11,033 children who are not in school and these are well-known. We 493 00:27:11,033 --> 00:27:12,499 and these are well-known. We are working very closely with 494 00:27:12,499 --> 00:27:14,934 are working very closely with our counterparts at Unicef and 495 00:27:14,934 --> 00:27:15,400 our counterparts at Unicef and we’re very grateful to be 496 00:27:15,400 --> 00:27:17,700 we’re very grateful to be working with them to really 497 00:27:17,700 --> 00:27:19,433 working with them to really understand the full impact of 498 00:27:19,433 --> 00:27:21,499 understand the full impact of children not being in school. 499 00:27:21,499 --> 00:27:22,033 children not being in school. so there are a lot of 500 00:27:22,033 --> 00:27:23,300 so there are a lot of considerations that need to 501 00:27:23,300 --> 00:27:25,400 considerations that need to take place. The DG has 502 00:27:25,400 --> 00:27:26,000 take place. The DG has highlighted a few 503 00:27:26,000 --> 00:27:27,200 highlighted a few considerations, but the 504 00:27:27,200 --> 00:27:27,967 considerations, but the guidance itself has a lot more 505 00:27:27,967 --> 00:27:28,633 guidance itself has a lot more in there and in fact in the 506 00:27:28,633 --> 00:27:31,800 in there and in fact in the guy. Itself There are a lot of 507 00:27:31,800 --> 00:27:33,899 guy. Itself There are a lot of questions that decision makers 508 00:27:33,899 --> 00:27:35,899 questions that decision makers need to evaluate to to see how 509 00:27:35,899 --> 00:27:40,767 need to evaluate to to see how they can safely reopen schools. 510 00:27:42,932 --> 00:27:45,767 let’s try one more time to get 511 00:27:45,767 --> 00:27:47,867 let’s try one more time to get the camera’ can see from 512 00:27:47,867 --> 00:27:49,533 the camera’ can see from Azerbaijan to come around. You. 513 00:27:49,533 --> 00:27:52,833 Azerbaijan to come around. You. hear me. yes. Hello greetings 514 00:27:52,833 --> 00:27:57,766 hear me. yes. Hello greetings from behan from Real TV. I want 515 00:27:57,766 --> 00:28:00,833 from behan from Real TV. I want to say that first hospital was 516 00:28:00,833 --> 00:28:02,300 to say that first hospital was opened at last week and that’s 517 00:28:02,300 --> 00:28:03,100 opened at last week and that’s under the leadership of the 518 00:28:03,100 --> 00:28:05,866 under the leadership of the President of the Republic and 519 00:28:05,866 --> 00:28:07,167 President of the Republic and doctors every time I appreciate 520 00:28:07,167 --> 00:28:09,733 doctors every time I appreciate all of as a patient struggle 521 00:28:09,733 --> 00:28:12,600 all of as a patient struggle against the Cardinals, but from 522 00:28:12,600 --> 00:28:14,100 against the Cardinals, but from the ninth of May, we have not 523 00:28:14,100 --> 00:28:20,000 the ninth of May, we have not have. It is very bad 524 00:28:20,000 --> 00:28:21,500 have. It is very bad information satisfactory, for 525 00:28:21,500 --> 00:28:24,332 information satisfactory, for example, one of May numbers of 526 00:28:24,332 --> 00:28:27,899 example, one of May numbers of people who was 143 and tens of 527 00:28:27,899 --> 00:28:31,100 people who was 143 and tens of made the number of those nine 528 00:28:31,100 --> 00:28:34,966 made the number of those nine to seven. this is the signal of 529 00:28:34,966 --> 00:28:37,332 to seven. this is the signal of the second wave to our country. 530 00:28:37,332 --> 00:28:40,533 the second wave to our country. please. 531 00:28:41,433 --> 00:28:44,967 yeah, I’m I’m I’m I I can’t 532 00:28:44,967 --> 00:28:46,767 yeah, I’m I’m I’m I I can’t relate my figures to yours 533 00:28:46,767 --> 00:28:49,367 relate my figures to yours right now, but as of I had a 534 00:28:49,367 --> 00:28:52,967 right now, but as of I had a relatively low number of cases, 535 00:28:52,967 --> 00:28:54,532 relatively low number of cases, but the number of cases has 536 00:28:54,532 --> 00:28:56,833 but the number of cases has grown steadily. so I think it’s 537 00:28:56,833 --> 00:28:58,367 grown steadily. so I think it’s difficult to distinguish 538 00:28:58,367 --> 00:29:00,366 difficult to distinguish between first wave and second 539 00:29:00,366 --> 00:29:02,332 between first wave and second waves and as a ??? is still 540 00:29:02,332 --> 00:29:04,934 waves and as a ??? is still very much in a in a in a risky 541 00:29:04,934 --> 00:29:05,367 very much in a in a in a risky position like many other 542 00:29:05,367 --> 00:29:08,033 position like many other countries in Central Asia, 543 00:29:08,033 --> 00:29:09,600 countries in Central Asia, which possibility of increasing 544 00:29:09,600 --> 00:29:11,200 which possibility of increasing cases you may see and 545 00:29:11,200 --> 00:29:14,500 cases you may see and sometimes. See this as waves, 546 00:29:14,500 --> 00:29:16,033 sometimes. See this as waves, you see a small number of cases 547 00:29:16,033 --> 00:29:18,667 you see a small number of cases beginning and then it gradually 548 00:29:18,667 --> 00:29:19,600 beginning and then it gradually and slowly builds. And then 549 00:29:19,600 --> 00:29:20,934 and slowly builds. And then there’s a point of which things 550 00:29:20,934 --> 00:29:21,800 there’s a point of which things accelerate. we’ve seen that in 551 00:29:21,800 --> 00:29:25,199 accelerate. we’ve seen that in many countries that would not 552 00:29:25,199 --> 00:29:27,800 many countries that would not be the classic second wave that 553 00:29:27,800 --> 00:29:28,833 be the classic second wave that other countries now who have 554 00:29:28,833 --> 00:29:30,333 other countries now who have large numbers of cases maybe 555 00:29:30,333 --> 00:29:33,033 large numbers of cases maybe facing in weeks to months time, 556 00:29:33,033 --> 00:29:36,366 facing in weeks to months time, so certainly as a needs to be 557 00:29:36,366 --> 00:29:38,534 so certainly as a needs to be very weary and very alert right 558 00:29:38,534 --> 00:29:39,600 very weary and very alert right now in terms of the the 559 00:29:39,600 --> 00:29:40,666 now in terms of the the incidence of cases and ensuring 560 00:29:40,666 --> 00:29:45,000 incidence of cases and ensuring that. Don’t take off in a very 561 00:29:45,000 --> 00:29:46,833 that. Don’t take off in a very extreme way, and with regards 562 00:29:46,833 --> 00:29:49,433 extreme way, and with regards to the future of the panic and 563 00:29:49,433 --> 00:29:52,300 to the future of the panic and epidemics around the world and 564 00:29:52,300 --> 00:29:54,467 epidemics around the world and many countries now have a 565 00:29:54,467 --> 00:29:55,600 many countries now have a sustained falling in the number 566 00:29:55,600 --> 00:29:57,067 sustained falling in the number of cases and the number of 567 00:29:57,067 --> 00:29:59,833 of cases and the number of deaths and as we enter into a 568 00:29:59,833 --> 00:30:01,067 deaths and as we enter into a little transmission period, 569 00:30:01,067 --> 00:30:03,067 little transmission period, Director general alluded to it 570 00:30:03,067 --> 00:30:05,667 Director general alluded to it in his speech, those countries 571 00:30:05,667 --> 00:30:09,200 in his speech, those countries who are exiting more stringent 572 00:30:09,200 --> 00:30:09,867 who are exiting more stringent public health and social 573 00:30:09,867 --> 00:30:10,333 public health and social measures are so-called 574 00:30:10,333 --> 00:30:13,967 measures are so-called lockdowns we’ll. Better and may 575 00:30:13,967 --> 00:30:16,500 lockdowns we’ll. Better and may avoid major second waves if 576 00:30:16,500 --> 00:30:19,367 avoid major second waves if they can shut down early 577 00:30:19,367 --> 00:30:20,000 they can shut down early transmission early in clusters 578 00:30:20,000 --> 00:30:22,000 transmission early in clusters that are identified much like 579 00:30:22,000 --> 00:30:23,433 that are identified much like Korea has done or is doing with 580 00:30:23,433 --> 00:30:25,000 Korea has done or is doing with regards to its latest clusters 581 00:30:25,000 --> 00:30:26,832 regards to its latest clusters of infection. What we would 582 00:30:26,832 --> 00:30:28,366 of infection. What we would hope is that countries is 583 00:30:28,366 --> 00:30:30,000 hope is that countries is applying strong public health 584 00:30:30,000 --> 00:30:32,832 applying strong public health surveillance with sustains 585 00:30:32,832 --> 00:30:35,067 surveillance with sustains physical distancing and hygiene 586 00:30:35,067 --> 00:30:36,633 physical distancing and hygiene measures amongst populations 587 00:30:36,633 --> 00:30:37,967 measures amongst populations with the with an alert and an 588 00:30:37,967 --> 00:30:39,867 with the with an alert and an educated population capable of 589 00:30:39,867 --> 00:30:43,467 educated population capable of being able to to to to take. Of 590 00:30:43,467 --> 00:30:45,833 being able to to to to take. Of their own risks, but also a 591 00:30:45,833 --> 00:30:47,099 their own risks, but also a strong public health system 592 00:30:47,099 --> 00:30:48,567 strong public health system capable of detecting and 593 00:30:48,567 --> 00:30:51,200 capable of detecting and tracing and isolating. we may 594 00:30:51,200 --> 00:30:55,067 tracing and isolating. we may avoid a major second wave but 595 00:30:55,067 --> 00:30:57,799 avoid a major second wave but if disease persists in 596 00:30:57,799 --> 00:30:58,900 if disease persists in countries at the lower level 597 00:30:58,900 --> 00:31:02,833 countries at the lower level without the capacity to 598 00:31:02,833 --> 00:31:04,366 without the capacity to investigate clusters identified 599 00:31:04,366 --> 00:31:06,200 investigate clusters identified clusters, then there is always 600 00:31:06,200 --> 00:31:07,534 clusters, then there is always the risk that the disease will 601 00:31:07,534 --> 00:31:09,833 the risk that the disease will take off again, particularly 602 00:31:09,833 --> 00:31:12,966 take off again, particularly where we have a large groups of 603 00:31:12,966 --> 00:31:14,067 where we have a large groups of people together in major cities 604 00:31:14,067 --> 00:31:15,600 people together in major cities and refugee camps and other 605 00:31:15,600 --> 00:31:19,067 and refugee camps and other places. Don’t have the 606 00:31:19,067 --> 00:31:20,600 places. Don’t have the possibility of large scale 607 00:31:20,600 --> 00:31:23,067 possibility of large scale social or physical distance, so 608 00:31:23,067 --> 00:31:26,033 social or physical distance, so I think now we’re seeing some 609 00:31:26,033 --> 00:31:27,967 I think now we’re seeing some hope as many countries exits 610 00:31:27,967 --> 00:31:29,933 hope as many countries exits this so-called lotts and this 611 00:31:29,933 --> 00:31:32,000 this so-called lotts and this is good. It allows economic 612 00:31:32,000 --> 00:31:33,600 is good. It allows economic life to return, but extreme 613 00:31:33,600 --> 00:31:35,000 life to return, but extreme vigilance is required and not 614 00:31:35,000 --> 00:31:36,633 vigilance is required and not just vigilance and many 615 00:31:36,633 --> 00:31:40,033 just vigilance and many countries as the DJs has said 616 00:31:40,033 --> 00:31:41,467 countries as the DJs has said have made very systematic 617 00:31:41,467 --> 00:31:42,000 have made very systematic investments in building up 618 00:31:42,000 --> 00:31:43,800 investments in building up their public health capacities 619 00:31:43,800 --> 00:31:45,200 their public health capacities during the lactose. Others have 620 00:31:45,200 --> 00:31:48,200 during the lactose. Others have not. 621 00:31:48,633 --> 00:31:50,467 And we need every country to 622 00:31:50,467 --> 00:31:52,433 And we need every country to put in place the necessary 623 00:31:52,433 --> 00:31:54,033 put in place the necessary public health measures or the 624 00:31:54,033 --> 00:31:55,467 public health measures or the public health surveillance in 625 00:31:55,467 --> 00:31:57,467 public health surveillance in order to be able to at least 626 00:31:57,467 --> 00:31:59,966 order to be able to at least have a chance of avoiding a 627 00:31:59,966 --> 00:32:03,433 have a chance of avoiding a larger second wave later. 628 00:32:05,067 --> 00:32:07,367 Thank you very much next 629 00:32:07,367 --> 00:32:10,299 Thank you very much next question is from China Radio 630 00:32:10,299 --> 00:32:14,633 question is from China Radio and that’s a Juan Yha. mister 631 00:32:14,633 --> 00:32:18,267 and that’s a Juan Yha. mister Engl. Can you hear us? 632 00:32:22,733 --> 00:32:24,366 Good afternoon. Thank you very 633 00:32:24,366 --> 00:32:26,533 Good afternoon. Thank you very much for giving me the chance 634 00:32:26,533 --> 00:32:28,633 much for giving me the chance of raising a question I would 635 00:32:28,633 --> 00:32:33,534 of raising a question I would like to speak in Chinese on the 636 00:32:33,534 --> 00:32:36,366 like to speak in Chinese on the twelfth of May is to vote No 637 00:32:36,366 --> 00:32:39,933 twelfth of May is to vote No state and the theme is the 638 00:32:39,933 --> 00:32:42,633 state and the theme is the protecting the World Health by 639 00:32:42,633 --> 00:32:44,533 protecting the World Health by Nurse and China also has it’s a 640 00:32:44,533 --> 00:32:49,600 Nurse and China also has it’s a theme which is to make nurses 641 00:32:49,600 --> 00:32:50,967 theme which is to make nurses to work together to strengthen 642 00:32:50,967 --> 00:32:52,067 to work together to strengthen the health care system in the 643 00:32:52,067 --> 00:32:55,400 the health care system in the meantime, 20. 644 00:32:55,400 --> 00:32:55,433 meantime, 20. 20 645 00:32:55,433 --> 00:32:59,366 20 is also the year of nurses 646 00:32:59,366 --> 00:33:05,932 20 is also the year of nurses and and the outbreak makes the 647 00:33:05,932 --> 00:33:07,466 and and the outbreak makes the world now stay even more. so I 648 00:33:07,466 --> 00:33:12,267 world now stay even more. so I would like to ask that DG. What 649 00:33:12,267 --> 00:33:13,832 would like to ask that DG. What is your expectation for the 650 00:33:13,832 --> 00:33:16,833 is your expectation for the nurses in the world and also 651 00:33:16,833 --> 00:33:19,532 nurses in the world and also with regard to what you said 652 00:33:19,532 --> 00:33:22,100 with regard to what you said that the China the Chinese 653 00:33:22,100 --> 00:33:24,767 that the China the Chinese system is an important part of 654 00:33:24,767 --> 00:33:26,100 system is an important part of the World Health System. What 655 00:33:26,100 --> 00:33:26,800 the World Health System. What do you mean exactly? Thank you 656 00:33:26,800 --> 00:33:29,567 do you mean exactly? Thank you very much. Thank you very much. 657 00:33:29,567 --> 00:33:33,233 very much. Thank you very much. My apologies. 658 00:33:36,634 --> 00:33:39,866 Thank you first of all and I’m 659 00:33:39,866 --> 00:33:41,800 Thank you first of all and I’m honor nurses and so would like 660 00:33:41,800 --> 00:33:48,466 honor nurses and so would like to announce that and second 661 00:33:49,600 --> 00:33:51,467 Happy International Nurses Day 662 00:33:51,467 --> 00:33:57,400 Happy International Nurses Day tomorrow for tomorrow and of 663 00:33:57,400 --> 00:33:59,366 tomorrow for tomorrow and of course, we should pay tribute 664 00:33:59,366 --> 00:34:03,600 course, we should pay tribute to our nurses midwives and all 665 00:34:03,600 --> 00:34:04,067 to our nurses midwives and all health professionals every 666 00:34:04,067 --> 00:34:07,800 health professionals every single day. 667 00:37:11,933 --> 00:37:13,432 Six million globally, and it 668 00:37:13,432 --> 00:37:15,900 Six million globally, and it also means when we say the year 669 00:37:15,900 --> 00:37:17,600 also means when we say the year or the decade of the nurses or 670 00:37:17,600 --> 00:37:22,400 or the decade of the nurses or the midwife feeling the gap in 671 00:37:22,400 --> 00:37:25,766 the midwife feeling the gap in order to achieve the UAE. so 672 00:37:25,766 --> 00:37:27,133 order to achieve the UAE. so for the you’re celebrating, 673 00:37:27,133 --> 00:37:30,632 for the you’re celebrating, nurses and midwives is also 674 00:37:30,632 --> 00:37:35,700 nurses and midwives is also preparing ourselves to achieve 675 00:37:35,700 --> 00:37:37,133 preparing ourselves to achieve our commitment or inbal health 676 00:37:37,133 --> 00:37:41,533 our commitment or inbal health coverage and health. For all, 677 00:37:41,533 --> 00:37:42,833 coverage and health. For all, it’s not just recognizing 678 00:37:42,833 --> 00:37:46,333 it’s not just recognizing nurses and midwives, 679 00:37:46,366 --> 00:37:49,500 but using this opportunity and 680 00:37:49,500 --> 00:37:50,933 but using this opportunity and using the sacrifice the 681 00:37:50,933 --> 00:37:52,733 using the sacrifice the commitment of the nurses to 682 00:37:52,733 --> 00:37:54,767 commitment of the nurses to achieve in their self discovery 683 00:37:54,767 --> 00:37:59,699 achieve in their self discovery to achieve health for all. 684 00:38:09,866 --> 00:38:13,233 Come up, Please go ahead for 685 00:38:13,233 --> 00:38:15,700 Come up, Please go ahead for us. Yes. Alright. Thank you so 686 00:38:15,700 --> 00:38:16,833 us. Yes. Alright. Thank you so much for taking my question 687 00:38:16,833 --> 00:38:18,633 much for taking my question that been some reports recently 688 00:38:18,633 --> 00:38:20,000 that been some reports recently of people suffering from 689 00:38:20,000 --> 00:38:23,532 of people suffering from symptoms for many weeks up to 690 00:38:23,532 --> 00:38:25,467 symptoms for many weeks up to six or even more which can get 691 00:38:25,467 --> 00:38:28,000 six or even more which can get more or less in waves. I want 692 00:38:28,000 --> 00:38:29,499 more or less in waves. I want if that’s something that the 693 00:38:29,499 --> 00:38:32,167 if that’s something that the WHO is aware of and how common 694 00:38:32,167 --> 00:38:35,666 WHO is aware of and how common you think it might be. 695 00:38:36,399 --> 00:38:38,100 So thanks for the question, the 696 00:38:38,100 --> 00:38:40,333 So thanks for the question, the question was if we are aware of 697 00:38:40,333 --> 00:38:41,867 question was if we are aware of individuals who are 698 00:38:41,867 --> 00:38:43,367 individuals who are experiencing symptoms for a 699 00:38:43,367 --> 00:38:44,600 experiencing symptoms for a long periods of time and in in 700 00:38:44,600 --> 00:38:47,533 long periods of time and in in waves we are working with our 701 00:38:47,533 --> 00:38:48,967 waves we are working with our clinical network and we’re 702 00:38:48,967 --> 00:38:51,000 clinical network and we’re working. we’re looking at the 703 00:38:51,000 --> 00:38:52,566 working. we’re looking at the literature to really understand 704 00:38:52,566 --> 00:38:55,300 literature to really understand how disease progresses a lot of 705 00:38:55,300 --> 00:38:56,967 how disease progresses a lot of this requires we we need to 706 00:38:56,967 --> 00:38:59,067 this requires we we need to ensure that people who are 707 00:38:59,067 --> 00:39:00,366 ensure that people who are experiencing symptoms are 708 00:39:00,366 --> 00:39:01,299 experiencing symptoms are tested so that we know that 709 00:39:01,299 --> 00:39:02,933 tested so that we know that these symptoms are Associated 710 00:39:02,933 --> 00:39:04,900 these symptoms are Associated with Covid- 19 or not you have 711 00:39:04,900 --> 00:39:06,200 with Covid- 19 or not you have to remember that in the 712 00:39:06,200 --> 00:39:06,967 to remember that in the Northern Hemisphere, we’ve just 713 00:39:06,967 --> 00:39:07,967 Northern Hemisphere, we’ve just finished the flu season and 714 00:39:07,967 --> 00:39:10,600 finished the flu season and there are many. Circulating 715 00:39:10,600 --> 00:39:12,467 there are many. Circulating viruses that can cause flu or 716 00:39:12,467 --> 00:39:14,433 viruses that can cause flu or flu-like symptoms and so what 717 00:39:14,433 --> 00:39:16,367 flu-like symptoms and so what we’re trying to do is get a 718 00:39:16,367 --> 00:39:19,366 we’re trying to do is get a clear picture of what disease 719 00:39:19,366 --> 00:39:20,933 clear picture of what disease looks like when people start to 720 00:39:20,933 --> 00:39:22,766 looks like when people start to feel unwell. What are those 721 00:39:22,766 --> 00:39:24,999 feel unwell. What are those symptoms? look like how many 722 00:39:24,999 --> 00:39:26,267 symptoms? look like how many days does it take them to 723 00:39:26,267 --> 00:39:27,500 days does it take them to develop a fever if they don’t 724 00:39:27,500 --> 00:39:29,266 develop a fever if they don’t start with a fever for those 725 00:39:29,266 --> 00:39:30,400 start with a fever for those who start out a little bit 726 00:39:30,400 --> 00:39:31,967 who start out a little bit unwell how many progress to 727 00:39:31,967 --> 00:39:34,500 unwell how many progress to pneumonia that might not need 728 00:39:34,500 --> 00:39:36,400 pneumonia that might not need hospital? how many people then 729 00:39:36,400 --> 00:39:37,200 hospital? how many people then progress to even more severe 730 00:39:37,200 --> 00:39:40,832 progress to even more severe disease and so What we 731 00:39:40,832 --> 00:39:42,467 disease and so What we understand is there’s a there’s 732 00:39:42,467 --> 00:39:43,900 understand is there’s a there’s a large number of symptoms. 733 00:39:43,900 --> 00:39:46,432 a large number of symptoms. That’s people are exhibiting 734 00:39:46,432 --> 00:39:47,799 That’s people are exhibiting including fever, including dry 735 00:39:47,799 --> 00:39:50,000 including fever, including dry Croft, cough shortness of 736 00:39:50,000 --> 00:39:51,500 Croft, cough shortness of breath, you’ve heard of other 737 00:39:51,500 --> 00:39:52,133 breath, you’ve heard of other symptoms. Your people have a 738 00:39:52,133 --> 00:39:54,600 symptoms. Your people have a loss of smell or a loss of 739 00:39:54,600 --> 00:39:55,967 loss of smell or a loss of taste and there’s more symptoms 740 00:39:55,967 --> 00:39:57,900 taste and there’s more symptoms that are being reported. What’s 741 00:39:57,900 --> 00:39:59,399 that are being reported. What’s very important for us and what 742 00:39:59,399 --> 00:40:02,000 very important for us and what we’re working with countries 743 00:40:02,000 --> 00:40:03,567 we’re working with countries and hospitals is to have a 744 00:40:03,567 --> 00:40:05,166 and hospitals is to have a standardized data collection so 745 00:40:05,166 --> 00:40:06,799 standardized data collection so that from some of the patients 746 00:40:06,799 --> 00:40:07,600 that from some of the patients are proportion of the patients, 747 00:40:07,600 --> 00:40:08,267 are proportion of the patients, we have a robust set of 748 00:40:08,267 --> 00:40:11,400 we have a robust set of information. 749 00:40:11,667 --> 00:40:12,900 we are working with the United 750 00:40:12,900 --> 00:40:14,667 we are working with the United Kingdom, for example, and this 751 00:40:14,667 --> 00:40:17,000 Kingdom, for example, and this group called Issa Ric. It’s the 752 00:40:17,000 --> 00:40:17,833 group called Issa Ric. It’s the international severe acute 753 00:40:17,833 --> 00:40:19,567 international severe acute respiratory infection 754 00:40:19,567 --> 00:40:20,900 respiratory infection consortium. This is just one of 755 00:40:20,900 --> 00:40:22,433 consortium. This is just one of many which is have using a 756 00:40:22,433 --> 00:40:24,300 many which is have using a standardized data collection 757 00:40:24,300 --> 00:40:25,867 standardized data collection form and collecting symptoms 758 00:40:25,867 --> 00:40:27,399 form and collecting symptoms from tens of thousands of 759 00:40:27,399 --> 00:40:29,066 from tens of thousands of patients and that is very 760 00:40:29,066 --> 00:40:30,467 patients and that is very helpful for us to get that 761 00:40:30,467 --> 00:40:32,600 helpful for us to get that picture from the data that we 762 00:40:32,600 --> 00:40:35,666 picture from the data that we have from countries. we still 763 00:40:35,666 --> 00:40:37,199 have from countries. we still are seeing about 40 percent of 764 00:40:37,199 --> 00:40:37,800 are seeing about 40 percent of patients who are exhibiting 765 00:40:37,800 --> 00:40:40,834 patients who are exhibiting mild disease and we’ll recover. 766 00:40:40,834 --> 00:40:43,299 mild disease and we’ll recover. We have another 40 percent that 767 00:40:43,299 --> 00:40:44,433 We have another 40 percent that are exhibiting more moderate 768 00:40:44,433 --> 00:40:45,832 are exhibiting more moderate symptoms, which would include 769 00:40:45,832 --> 00:40:49,099 symptoms, which would include pneumonia but not not needing a 770 00:40:49,099 --> 00:40:50,900 pneumonia but not not needing a hospitalization or respiratory 771 00:40:50,900 --> 00:40:52,533 hospitalization or respiratory support. We see a further 15 772 00:40:52,533 --> 00:40:54,299 support. We see a further 15 percent that are exhibiting 773 00:40:54,299 --> 00:40:55,533 percent that are exhibiting severe disease and needing 774 00:40:55,533 --> 00:40:57,000 severe disease and needing respiratory support and 775 00:40:57,000 --> 00:40:58,367 respiratory support and hospitalization and another 776 00:40:58,367 --> 00:41:00,533 hospitalization and another five percent that are critical 777 00:41:00,533 --> 00:41:04,333 five percent that are critical requiring ICU and more in 778 00:41:04,333 --> 00:41:05,400 requiring ICU and more in venter support. we are trying 779 00:41:05,400 --> 00:41:07,033 venter support. we are trying to get a picture of that that’s 780 00:41:07,033 --> 00:41:08,366 to get a picture of that that’s consistent across all countries 781 00:41:08,366 --> 00:41:09,200 consistent across all countries and from the data that we’ve 782 00:41:09,200 --> 00:41:10,667 and from the data that we’ve seen that is a fairly 783 00:41:10,667 --> 00:41:11,567 seen that is a fairly consistent picture and so 784 00:41:11,567 --> 00:41:14,400 consistent picture and so that’s important. Helps us for 785 00:41:14,400 --> 00:41:16,167 that’s important. Helps us for planning purposes It helps us 786 00:41:16,167 --> 00:41:17,599 planning purposes It helps us get hospitals ready to know how 787 00:41:17,599 --> 00:41:19,133 get hospitals ready to know how to care for patients and what 788 00:41:19,133 --> 00:41:20,400 to care for patients and what they can what types of supplies 789 00:41:20,400 --> 00:41:23,100 they can what types of supplies that they may need but it’s 790 00:41:23,100 --> 00:41:25,667 that they may need but it’s still early days. you’ve you’ve 791 00:41:25,667 --> 00:41:26,999 still early days. you’ve you’ve heard us say that a lot we’re 792 00:41:26,999 --> 00:41:28,067 heard us say that a lot we’re learning every day more and 793 00:41:28,067 --> 00:41:30,100 learning every day more and more about this virus and the 794 00:41:30,100 --> 00:41:32,633 more about this virus and the diseases that it causes and if 795 00:41:32,633 --> 00:41:34,000 diseases that it causes and if it’s different for young people 796 00:41:34,000 --> 00:41:35,966 it’s different for young people or old people or people with 797 00:41:35,966 --> 00:41:37,932 or old people or people with underlying conditions and so as 798 00:41:37,932 --> 00:41:39,000 underlying conditions and so as that picture becomes more and 799 00:41:39,000 --> 00:41:40,067 that picture becomes more and more clear, we’ll be able to 800 00:41:40,067 --> 00:41:44,400 more clear, we’ll be able to have a more clear answer. 801 00:41:46,366 --> 00:41:49,266 With regard to your specific 802 00:41:49,266 --> 00:41:50,500 With regard to your specific question regarding this 803 00:41:50,500 --> 00:41:52,999 question regarding this syndrome certainly there have 804 00:41:52,999 --> 00:41:55,866 syndrome certainly there have been some reported cases of a 805 00:41:55,866 --> 00:41:57,067 been some reported cases of a punitive relapse of people who 806 00:41:57,067 --> 00:41:59,667 punitive relapse of people who have fallen sick again and a 807 00:41:59,667 --> 00:42:01,299 have fallen sick again and a lot of work is going on to see 808 00:42:01,299 --> 00:42:02,300 lot of work is going on to see what the people have been 809 00:42:02,300 --> 00:42:03,766 what the people have been reinfected or whether it’s just 810 00:42:03,766 --> 00:42:06,399 reinfected or whether it’s just a chronic part of a condition 811 00:42:06,399 --> 00:42:08,833 a chronic part of a condition to people who leave hospital 812 00:42:08,833 --> 00:42:10,500 to people who leave hospital are free of the virus. They’re 813 00:42:10,500 --> 00:42:11,466 are free of the virus. They’re usually testing negative before 814 00:42:11,466 --> 00:42:12,000 usually testing negative before they’re the hospital, but I 815 00:42:12,000 --> 00:42:12,767 they’re the hospital, but I think what we have to remember 816 00:42:12,767 --> 00:42:15,667 think what we have to remember is. Many people who’ve been 817 00:42:15,667 --> 00:42:17,367 is. Many people who’ve been hospitalized of experience 818 00:42:17,367 --> 00:42:19,132 hospitalized of experience severe disease and while they 819 00:42:19,132 --> 00:42:21,300 severe disease and while they may be free of the virus and no 820 00:42:21,300 --> 00:42:24,000 may be free of the virus and no longer infectious and many are 821 00:42:24,000 --> 00:42:26,934 longer infectious and many are experiencing longer term issues 822 00:42:26,934 --> 00:42:28,233 experiencing longer term issues with energy, they’ve been 823 00:42:28,233 --> 00:42:29,433 with energy, they’ve been through the literally been 824 00:42:29,433 --> 00:42:30,667 through the literally been through the wars many of them 825 00:42:30,667 --> 00:42:31,099 through the wars many of them in a very difficult 826 00:42:31,099 --> 00:42:33,400 in a very difficult circumstances, Some of had the 827 00:42:33,400 --> 00:42:34,767 circumstances, Some of had the impacts on the respiratory 828 00:42:34,767 --> 00:42:36,300 impacts on the respiratory system, the cardiovascular 829 00:42:36,300 --> 00:42:37,866 system, the cardiovascular system, the liver, the kidney 830 00:42:37,866 --> 00:42:38,866 system, the liver, the kidney function and of us, so people 831 00:42:38,866 --> 00:42:41,466 function and of us, so people could remain quite quite 832 00:42:41,466 --> 00:42:44,500 could remain quite quite without energy and. And and and 833 00:42:44,500 --> 00:42:46,800 without energy and. And and and struggle to get back to full 834 00:42:46,800 --> 00:42:48,600 struggle to get back to full health. so the we have to 835 00:42:48,600 --> 00:42:50,999 health. so the we have to separate here. What is a long 836 00:42:50,999 --> 00:42:52,500 separate here. What is a long struggle to get back to full 837 00:42:52,500 --> 00:42:55,133 struggle to get back to full health from what might be a 838 00:42:55,133 --> 00:42:57,367 health from what might be a continued covid- 19 syndrome 839 00:42:57,367 --> 00:43:00,300 continued covid- 19 syndrome where you have a persistent 840 00:43:00,300 --> 00:43:01,467 where you have a persistent virus and the evidence thus far 841 00:43:01,467 --> 00:43:03,967 virus and the evidence thus far is that there is very little 842 00:43:03,967 --> 00:43:04,700 is that there is very little evidence to suggest that there 843 00:43:04,700 --> 00:43:07,233 evidence to suggest that there are people who are persistently 844 00:43:07,233 --> 00:43:09,433 are people who are persistently suffering from Codi although 845 00:43:09,433 --> 00:43:10,733 suffering from Codi although when you see the data from the 846 00:43:10,733 --> 00:43:11,667 when you see the data from the hospitals and the length of 847 00:43:11,667 --> 00:43:14,033 hospitals and the length of admission it is taking. Many 848 00:43:14,033 --> 00:43:16,534 admission it is taking. Many people a very long time to 849 00:43:16,534 --> 00:43:17,933 people a very long time to recover in the hospital 850 00:43:17,933 --> 00:43:19,100 recover in the hospital environment, and we should 851 00:43:19,100 --> 00:43:20,300 environment, and we should expect that when people are 852 00:43:20,300 --> 00:43:21,766 expect that when people are discharged that recovery 853 00:43:21,766 --> 00:43:24,400 discharged that recovery continues and people don’t 854 00:43:24,400 --> 00:43:26,200 continues and people don’t necessarily just bounce back to 855 00:43:26,200 --> 00:43:28,000 necessarily just bounce back to full health. Although when they 856 00:43:28,000 --> 00:43:28,532 full health. Although when they are the stars from the 857 00:43:28,532 --> 00:43:30,033 are the stars from the hospital, it is safe for them 858 00:43:30,033 --> 00:43:31,567 hospital, it is safe for them to return for themselves and 859 00:43:31,567 --> 00:43:35,000 to return for themselves and their families. 860 00:43:36,833 --> 00:43:38,932 Next question comes from a 861 00:43:38,932 --> 00:43:43,100 Next question comes from a Brazil Anna Pinto from Sao 862 00:43:43,100 --> 00:43:46,300 Brazil Anna Pinto from Sao Paulo Anna. 863 00:43:49,033 --> 00:43:50,800 Anna Can you how can you? yes? 864 00:43:50,800 --> 00:43:52,633 Anna Can you how can you? yes? please okay? Nice. I have a 865 00:43:52,633 --> 00:43:55,000 please okay? Nice. I have a question to Doctor Maria Doctor 866 00:43:55,000 --> 00:43:56,434 question to Doctor Maria Doctor Mara last week You mentioned 867 00:43:56,434 --> 00:44:00,000 Mara last week You mentioned epidemiologic studies with the 868 00:44:00,000 --> 00:44:00,700 epidemiologic studies with the psychological tests in several 869 00:44:00,700 --> 00:44:03,233 psychological tests in several countries. I’d like to know how 870 00:44:03,233 --> 00:44:05,467 countries. I’d like to know how high is the prevalence found in 871 00:44:05,467 --> 00:44:08,000 high is the prevalence found in those studies and as far as the 872 00:44:08,000 --> 00:44:12,067 those studies and as far as the percentage of people who had 873 00:44:12,067 --> 00:44:14,466 percentage of people who had contact with the virus is below 874 00:44:14,466 --> 00:44:16,132 contact with the virus is below the level of the so-called 875 00:44:16,132 --> 00:44:19,233 the level of the so-called herms. 876 00:44:19,600 --> 00:44:22,333 If having a higher prevalence 877 00:44:22,333 --> 00:44:23,667 If having a higher prevalence protects more than having a 878 00:44:23,667 --> 00:44:26,333 protects more than having a lower one given a certain 879 00:44:26,333 --> 00:44:28,667 lower one given a certain population, it’s for instance, 880 00:44:28,667 --> 00:44:30,033 population, it’s for instance, a country or a region with 30 881 00:44:30,033 --> 00:44:33,000 a country or a region with 30 percent of the population that 882 00:44:33,000 --> 00:44:35,400 percent of the population that already have been infected as 883 00:44:35,400 --> 00:44:38,267 already have been infected as is this population more 884 00:44:38,267 --> 00:44:39,733 is this population more protected to tackle our second 885 00:44:39,733 --> 00:44:41,967 protected to tackle our second wave, then another with the 886 00:44:41,967 --> 00:44:43,500 wave, then another with the let’s say just five percent of 887 00:44:43,500 --> 00:44:44,199 let’s say just five percent of prevalence. Thank you very 888 00:44:44,199 --> 00:44:47,199 prevalence. Thank you very much. 889 00:44:47,466 --> 00:44:49,433 Thank you. Thank you for the 890 00:44:49,433 --> 00:44:51,532 Thank you. Thank you for the question. there are a large 891 00:44:51,532 --> 00:44:53,500 question. there are a large number of countries that are 892 00:44:53,500 --> 00:44:54,066 number of countries that are conducting these 893 00:44:54,066 --> 00:44:56,400 conducting these epidemiological studies we are 894 00:44:56,400 --> 00:44:57,900 epidemiological studies we are tracking them and there’s more 895 00:44:57,900 --> 00:45:00,367 tracking them and there’s more than 90 studies that are 896 00:45:00,367 --> 00:45:02,866 than 90 studies that are underway some of the results of 897 00:45:02,866 --> 00:45:04,566 underway some of the results of the early studies are now 898 00:45:04,566 --> 00:45:08,366 the early studies are now starting to be published. I say 899 00:45:08,366 --> 00:45:10,267 starting to be published. I say published one of them has come 900 00:45:10,267 --> 00:45:12,300 published one of them has come out in a peer Review Journal. 901 00:45:12,300 --> 00:45:13,967 out in a peer Review Journal. there are a few others that 902 00:45:13,967 --> 00:45:15,500 there are a few others that we’ve seen as FreePrints, which 903 00:45:15,500 --> 00:45:17,366 we’ve seen as FreePrints, which means they haven’t undergone 904 00:45:17,366 --> 00:45:19,100 means they haven’t undergone the full review and a number 905 00:45:19,100 --> 00:45:20,000 the full review and a number have also released results as 906 00:45:20,000 --> 00:45:23,600 have also released results as press releases. I say this. 907 00:45:23,600 --> 00:45:25,733 press releases. I say this. It’s important because we 908 00:45:25,733 --> 00:45:26,266 It’s important because we aren’t able to critically 909 00:45:26,266 --> 00:45:28,433 aren’t able to critically evaluate all of these studies 910 00:45:28,433 --> 00:45:30,067 evaluate all of these studies yet what is interesting from 911 00:45:30,067 --> 00:45:33,400 yet what is interesting from the studies that are coming out 912 00:45:33,400 --> 00:45:35,866 the studies that are coming out is that many of them across a 913 00:45:35,866 --> 00:45:37,567 is that many of them across a number of countries in Europe 914 00:45:37,567 --> 00:45:40,300 number of countries in Europe and the United States in Asia 915 00:45:40,300 --> 00:45:42,332 and the United States in Asia have found a very low 916 00:45:42,332 --> 00:45:43,400 have found a very low proportion of the people that 917 00:45:43,400 --> 00:45:47,000 proportion of the people that have been tested have evidence 918 00:45:47,000 --> 00:45:48,567 have been tested have evidence of antibodies as measured by 919 00:45:48,567 --> 00:45:51,032 of antibodies as measured by these stero loic tests and 920 00:45:51,032 --> 00:45:52,666 these stero loic tests and they’re the range is between 921 00:45:52,666 --> 00:45:53,967 they’re the range is between one and 10 percent. It depends 922 00:45:53,967 --> 00:45:55,333 one and 10 percent. It depends on the study. It depends on the 923 00:45:55,333 --> 00:45:56,799 on the study. It depends on the essay that was used there are a 924 00:45:56,799 --> 00:46:00,467 essay that was used there are a couple of. I haven’t seen the 925 00:46:00,467 --> 00:46:01,733 couple of. I haven’t seen the full studies I haven’t we 926 00:46:01,733 --> 00:46:03,534 full studies I haven’t we haven’t evaluated them. that 927 00:46:03,534 --> 00:46:04,600 haven’t evaluated them. that suggests it’s a little bit 928 00:46:04,600 --> 00:46:07,667 suggests it’s a little bit higher. maybe 1415 percent, but 929 00:46:07,667 --> 00:46:09,433 higher. maybe 1415 percent, but we haven’t seen the full 930 00:46:09,433 --> 00:46:11,066 we haven’t seen the full studies and again, I say that 931 00:46:11,066 --> 00:46:12,533 studies and again, I say that because we need to understand 932 00:46:12,533 --> 00:46:13,967 because we need to understand which populations we studied, 933 00:46:13,967 --> 00:46:15,366 which populations we studied, which Cir logic essays were 934 00:46:15,366 --> 00:46:16,666 which Cir logic essays were used so that we could really 935 00:46:16,666 --> 00:46:17,767 used so that we could really understand what the results 936 00:46:17,767 --> 00:46:19,533 understand what the results mean having said that there 937 00:46:19,533 --> 00:46:21,733 mean having said that there seems to be a consistent 938 00:46:21,733 --> 00:46:23,233 seems to be a consistent pattern so far that a low 939 00:46:23,233 --> 00:46:23,900 pattern so far that a low proportion of people have these 940 00:46:23,900 --> 00:46:25,133 proportion of people have these antibodies and that is 941 00:46:25,133 --> 00:46:25,867 antibodies and that is important as you mentioned 942 00:46:25,867 --> 00:46:26,533 important as you mentioned because you mentioned this word 943 00:46:26,533 --> 00:46:31,133 because you mentioned this word heard immunity. which is 944 00:46:31,133 --> 00:46:32,000 heard immunity. which is normally a phrase that’s used 945 00:46:32,000 --> 00:46:33,000 normally a phrase that’s used when you think about 946 00:46:33,000 --> 00:46:34,967 when you think about vaccination and you think what 947 00:46:34,967 --> 00:46:36,799 vaccination and you think what amount of the population needs 948 00:46:36,799 --> 00:46:39,267 amount of the population needs to have an immunity to be able 949 00:46:39,267 --> 00:46:42,733 to have an immunity to be able to protect the rest of the 950 00:46:42,733 --> 00:46:45,100 to protect the rest of the population and that level we 951 00:46:45,100 --> 00:46:45,966 population and that level we don’t know exactly what that 952 00:46:45,966 --> 00:46:49,000 don’t know exactly what that level needs to be for Covid- 19 953 00:46:49,000 --> 00:46:51,233 level needs to be for Covid- 19 but it’s certainly needs to be 954 00:46:51,233 --> 00:46:51,967 but it’s certainly needs to be higher than what we’re seeing 955 00:46:51,967 --> 00:46:54,899 higher than what we’re seeing in some of these zero-zero 956 00:46:54,899 --> 00:46:56,333 in some of these zero-zero prevalent studies. what the 957 00:46:56,333 --> 00:46:58,000 prevalent studies. what the stero epidemiology studies 958 00:46:58,000 --> 00:46:59,499 stero epidemiology studies indicate to us is that there’s 959 00:46:59,499 --> 00:47:00,933 indicate to us is that there’s a large proportion of the 960 00:47:00,933 --> 00:47:01,500 a large proportion of the population that remains 961 00:47:01,500 --> 00:47:01,967 population that remains susceptible and that’s when 962 00:47:01,967 --> 00:47:03,933 susceptible and that’s when you think. About what may 963 00:47:03,933 --> 00:47:06,533 you think. About what may happen in subsequent waves or 964 00:47:06,533 --> 00:47:09,233 happen in subsequent waves or what may happen as a potential 965 00:47:09,233 --> 00:47:10,700 what may happen as a potential resurgence and so we have a 966 00:47:10,700 --> 00:47:13,100 resurgence and so we have a long way to go with this virus 967 00:47:13,100 --> 00:47:14,566 long way to go with this virus because the virus has more 968 00:47:14,566 --> 00:47:16,899 because the virus has more people that can be infected 969 00:47:16,899 --> 00:47:18,600 people that can be infected having said that we have the 970 00:47:18,600 --> 00:47:20,000 having said that we have the tools in our toolbox to be able 971 00:47:20,000 --> 00:47:21,900 tools in our toolbox to be able to prevent this virus from 972 00:47:21,900 --> 00:47:23,866 to prevent this virus from taking off again and we know 973 00:47:23,866 --> 00:47:26,000 taking off again and we know that that’s about finding the 974 00:47:26,000 --> 00:47:26,999 that that’s about finding the virus finding people with the 975 00:47:26,999 --> 00:47:28,999 virus finding people with the virus, isolating them caring 976 00:47:28,999 --> 00:47:30,667 virus, isolating them caring for them appropriately 977 00:47:30,667 --> 00:47:31,733 for them appropriately depending on their symptoms, 978 00:47:31,733 --> 00:47:34,466 depending on their symptoms, making sure that we. All 979 00:47:34,466 --> 00:47:36,600 making sure that we. All contacts, we trace those 980 00:47:36,600 --> 00:47:38,133 contacts, we trace those contacts quarantine them so 981 00:47:38,133 --> 00:47:38,767 contacts quarantine them so that they don’t have the 982 00:47:38,767 --> 00:47:41,000 that they don’t have the opportunity to transmit 983 00:47:41,000 --> 00:47:42,100 opportunity to transmit further. make sure our 984 00:47:42,100 --> 00:47:43,333 further. make sure our population is fully engaged so 985 00:47:43,333 --> 00:47:44,700 population is fully engaged so that they know how they can 986 00:47:44,700 --> 00:47:45,832 that they know how they can protect themselves and how they 987 00:47:45,832 --> 00:47:47,866 protect themselves and how they can protect others so we do 988 00:47:47,866 --> 00:47:50,767 can protect others so we do have tools in our in our at our 989 00:47:50,767 --> 00:47:53,233 have tools in our in our at our disposal to be able to prevent 990 00:47:53,233 --> 00:47:55,467 disposal to be able to prevent transmission from happening 991 00:47:55,467 --> 00:47:57,000 transmission from happening further. Ander epidemiology is 992 00:47:57,000 --> 00:47:58,166 further. Ander epidemiology is one of the ways in which we are 993 00:47:58,166 --> 00:47:59,867 one of the ways in which we are using to help us understand how 994 00:47:59,867 --> 00:48:00,700 using to help us understand how we move forward through this 995 00:48:00,700 --> 00:48:05,500 we move forward through this pandemic. Yeah and again, I’m 996 00:48:05,500 --> 00:48:09,500 pandemic. Yeah and again, I’m just reis her immunity and 997 00:48:09,500 --> 00:48:13,467 just reis her immunity and again the term taken from VT 998 00:48:13,467 --> 00:48:15,500 again the term taken from VT and epidemiology where people 999 00:48:15,500 --> 00:48:17,967 and epidemiology where people are concerned in animal 1000 00:48:17,967 --> 00:48:19,100 are concerned in animal husbandry with the overall 1001 00:48:19,100 --> 00:48:21,466 husbandry with the overall health of the herd and and 1002 00:48:21,466 --> 00:48:22,000 health of the herd and and individual animal in that 1003 00:48:22,000 --> 00:48:24,399 individual animal in that sense, it doesn’t matter from 1004 00:48:24,399 --> 00:48:26,000 sense, it doesn’t matter from the perspective of the brutal 1005 00:48:26,000 --> 00:48:28,600 the perspective of the brutal economics of that those 1006 00:48:28,600 --> 00:48:29,900 economics of that those decision-making humans are not 1007 00:48:29,900 --> 00:48:33,967 decision-making humans are not hurt and as such. Immunity is 1008 00:48:33,967 --> 00:48:35,367 hurt and as such. Immunity is generally reserved for 1009 00:48:35,367 --> 00:48:37,100 generally reserved for calculating how many people 1010 00:48:37,100 --> 00:48:38,899 calculating how many people would need to be vaccinated in 1011 00:48:38,899 --> 00:48:39,633 would need to be vaccinated in the population in order to 1012 00:48:39,633 --> 00:48:41,300 the population in order to generate that same effect. so, 1013 00:48:41,300 --> 00:48:44,467 generate that same effect. so, I think we need to be really 1014 00:48:44,467 --> 00:48:47,300 I think we need to be really careful when we use terms in 1015 00:48:47,300 --> 00:48:48,600 careful when we use terms in this way around natural 1016 00:48:48,600 --> 00:48:50,266 this way around natural affections of humans because we 1017 00:48:50,266 --> 00:48:51,832 affections of humans because we can reach it. can it can lead 1018 00:48:51,832 --> 00:48:54,367 can reach it. can it can lead to a very brutal Ari, which 1019 00:48:54,367 --> 00:48:56,400 to a very brutal Ari, which does not put people in life and 1020 00:48:56,400 --> 00:48:57,967 does not put people in life and so at the Center of that 1021 00:48:57,967 --> 00:49:01,767 so at the Center of that equation but also does concern 1022 00:49:01,767 --> 00:49:03,800 equation but also does concern me in this narrative is that 1023 00:49:03,800 --> 00:49:06,867 me in this narrative is that the An assumption is this 1024 00:49:06,867 --> 00:49:08,500 the An assumption is this disease spread around the world 1025 00:49:08,500 --> 00:49:09,967 disease spread around the world that we’re really just seeing 1026 00:49:09,967 --> 00:49:12,566 that we’re really just seeing the severe cases and the and 1027 00:49:12,566 --> 00:49:14,933 the severe cases and the and the difficult cases of when the 1028 00:49:14,933 --> 00:49:16,533 the difficult cases of when the epidemiology comes, it will 1029 00:49:16,533 --> 00:49:17,700 epidemiology comes, it will demonstrate that most of the 1030 00:49:17,700 --> 00:49:18,966 demonstrate that most of the people have been affected and 1031 00:49:18,966 --> 00:49:20,532 people have been affected and this will all be over. We’ll go 1032 00:49:20,532 --> 00:49:21,967 this will all be over. We’ll go back to normal business. well, 1033 00:49:21,967 --> 00:49:23,232 back to normal business. well, the preliminary results from 1034 00:49:23,232 --> 00:49:24,700 the preliminary results from the epidemiological studies are 1035 00:49:24,700 --> 00:49:26,200 the epidemiological studies are showing the opposite. It’s 1036 00:49:26,200 --> 00:49:27,500 showing the opposite. It’s showing that the proportion of 1037 00:49:27,500 --> 00:49:28,700 showing that the proportion of people with significant 1038 00:49:28,700 --> 00:49:30,000 people with significant clinical illness is actually a 1039 00:49:30,000 --> 00:49:31,866 clinical illness is actually a higher proportion of all those 1040 00:49:31,866 --> 00:49:32,533 higher proportion of all those who’ve been infected because 1041 00:49:32,533 --> 00:49:33,400 who’ve been infected because the number of people infected 1042 00:49:33,400 --> 00:49:36,500 the number of people infected in the total. 1043 00:49:36,500 --> 00:49:36,600 in the total. It’s probab 1044 00:49:36,600 --> 00:49:38,199 It’s probably much more than we 1045 00:49:38,199 --> 00:49:40,433 It’s probably much more than we expected and that’s what you 1046 00:49:40,433 --> 00:49:41,867 expected and that’s what you said. That means we a long way 1047 00:49:41,867 --> 00:49:43,233 said. That means we a long way to go and it means as the 1048 00:49:43,233 --> 00:49:44,266 to go and it means as the director general has been 1049 00:49:44,266 --> 00:49:47,466 director general has been saying for months, this is 1050 00:49:47,466 --> 00:49:49,432 saying for months, this is serious disease. This is public 1051 00:49:49,432 --> 00:49:50,900 serious disease. This is public enemy number one we have been 1052 00:49:50,900 --> 00:49:53,367 enemy number one we have been saying it over and over and 1053 00:49:53,367 --> 00:49:56,433 saying it over and over and over and over again and we 1054 00:49:56,433 --> 00:49:58,933 over and over again and we really do need to not step back 1055 00:49:58,933 --> 00:50:00,400 really do need to not step back and sort of recalculate. This 1056 00:50:00,400 --> 00:50:03,333 and sort of recalculate. This is a mild illness and and 1057 00:50:03,333 --> 00:50:03,900 is a mild illness and and effectively make the same 1058 00:50:03,900 --> 00:50:04,267 effectively make the same mistakes. We made the first 1059 00:50:04,267 --> 00:50:08,300 mistakes. We made the first time around in terms of not. 1060 00:50:08,600 --> 00:50:09,733 this seriously and not putting 1061 00:50:09,733 --> 00:50:11,000 this seriously and not putting in place the necessary measures 1062 00:50:11,000 --> 00:50:13,500 in place the necessary measures we have a second chance now as 1063 00:50:13,500 --> 00:50:16,333 we have a second chance now as a society to put in place the 1064 00:50:16,333 --> 00:50:17,733 a society to put in place the necessary public health 1065 00:50:17,733 --> 00:50:19,033 necessary public health interventions to put in place 1066 00:50:19,033 --> 00:50:20,600 interventions to put in place the necessary community support 1067 00:50:20,600 --> 00:50:22,000 the necessary community support to support our vulnerable 1068 00:50:22,000 --> 00:50:23,433 to support our vulnerable populations. be there in 1069 00:50:23,433 --> 00:50:25,300 populations. be there in long-term care facilities or be 1070 00:50:25,300 --> 00:50:27,067 long-term care facilities or be there in refugee camps. No one 1071 00:50:27,067 --> 00:50:29,400 there in refugee camps. No one is safe until everyone is safe 1072 00:50:29,400 --> 00:50:31,466 is safe until everyone is safe and again when we look at the 1073 00:50:31,466 --> 00:50:32,733 and again when we look at the epidemic around the world and 1074 00:50:32,733 --> 00:50:33,967 epidemic around the world and we see that in some countries 1075 00:50:33,967 --> 00:50:34,466 we see that in some countries over half of the cases have 1076 00:50:34,466 --> 00:50:37,400 over half of the cases have occurred in long-term care. Or 1077 00:50:37,400 --> 00:50:39,899 occurred in long-term care. Or workers in those facilities, 1078 00:50:39,899 --> 00:50:41,400 workers in those facilities, you know we need to look at 1079 00:50:41,400 --> 00:50:43,967 you know we need to look at these hotspots at this really 1080 00:50:43,967 --> 00:50:45,700 these hotspots at this really really terrible situations in 1081 00:50:45,700 --> 00:50:47,600 really terrible situations in which we either have properly 1082 00:50:47,600 --> 00:50:50,599 which we either have properly shielded up people in those 1083 00:50:50,599 --> 00:50:52,067 shielded up people in those situations or protected them. 1084 00:50:52,067 --> 00:50:55,967 situations or protected them. so I do think this idea that 1085 00:50:55,967 --> 00:50:57,367 so I do think this idea that well maybe countries who have 1086 00:50:57,367 --> 00:50:59,367 well maybe countries who have lax measures and haven’t done 1087 00:50:59,367 --> 00:51:00,133 lax measures and haven’t done anything with all of a sudden 1088 00:51:00,133 --> 00:51:02,467 anything with all of a sudden magically reach some herd 1089 00:51:02,467 --> 00:51:04,933 magically reach some herd immunity and and so what if we 1090 00:51:04,933 --> 00:51:05,900 immunity and and so what if we lose a few people along the way 1091 00:51:05,900 --> 00:51:07,967 lose a few people along the way I mean, this is a really 1092 00:51:07,967 --> 00:51:11,567 I mean, this is a really dangerous calculation and. I 1093 00:51:11,567 --> 00:51:13,733 dangerous calculation and. I believe most member States are 1094 00:51:13,733 --> 00:51:20,534 believe most member States are willing to make that a member 1095 00:51:20,534 --> 00:51:22,033 willing to make that a member States responsible member 1096 00:51:22,033 --> 00:51:23,299 States responsible member States. we’ll look at all their 1097 00:51:23,299 --> 00:51:24,700 States. we’ll look at all their population. They value every 1098 00:51:24,700 --> 00:51:25,967 population. They value every member of the society and they 1099 00:51:25,967 --> 00:51:28,700 member of the society and they try to do everything possible 1100 00:51:28,700 --> 00:51:29,967 try to do everything possible to protect health while at the 1101 00:51:29,967 --> 00:51:33,400 to protect health while at the same time, obviously protecting 1102 00:51:33,400 --> 00:51:34,266 same time, obviously protecting society protecting the economy 1103 00:51:34,266 --> 00:51:35,633 society protecting the economy and other things we need to get 1104 00:51:35,633 --> 00:51:37,500 and other things we need to get our priorities right as we 1105 00:51:37,500 --> 00:51:38,167 our priorities right as we enter the next phase of this 1106 00:51:38,167 --> 00:51:41,400 enter the next phase of this fight. 1107 00:51:43,900 --> 00:51:46,866 next question is coming from 1108 00:51:46,866 --> 00:51:48,932 next question is coming from Georgia Georgia and we have 1109 00:51:48,932 --> 00:51:53,832 Georgia Georgia and we have online Conan Tumi really Conan 1110 00:51:53,832 --> 00:51:57,799 online Conan Tumi really Conan you need to earn yourself. 1111 00:52:16,932 --> 00:52:20,899 Okay, we will have to go to the 1112 00:52:20,899 --> 00:52:22,767 Okay, we will have to go to the next journalists’ really sorry 1113 00:52:22,767 --> 00:52:28,000 next journalists’ really sorry we couldn’t hear so we go to 1114 00:52:28,000 --> 00:52:31,733 we couldn’t hear so we go to Emma Mfr from writers. You also 1115 00:52:31,733 --> 00:52:35,100 Emma Mfr from writers. You also need to yes yes, yes, good 1116 00:52:35,100 --> 00:52:35,967 need to yes yes, yes, good afternoon and thank you so much 1117 00:52:35,967 --> 00:52:38,033 afternoon and thank you so much for taking my question. I just 1118 00:52:38,033 --> 00:52:40,333 for taking my question. I just wanted to ask a little bit more 1119 00:52:40,333 --> 00:52:42,033 wanted to ask a little bit more about South Korea and Germany 1120 00:52:42,033 --> 00:52:43,433 about South Korea and Germany and other countries 1121 00:52:43,433 --> 00:52:46,132 and other countries experiencing a resurgence in 1122 00:52:46,132 --> 00:52:47,800 experiencing a resurgence in new infections. the timing of 1123 00:52:47,800 --> 00:52:49,800 new infections. the timing of this I think is interesting cuz 1124 00:52:49,800 --> 00:52:50,999 this I think is interesting cuz it’s happening just at the 1125 00:52:50,999 --> 00:52:53,500 it’s happening just at the beginning to eat rubdowns and 1126 00:52:53,500 --> 00:52:55,133 beginning to eat rubdowns and and my client you use that 1127 00:52:55,133 --> 00:52:56,532 and my client you use that lovely metaphor of looking 1128 00:52:56,532 --> 00:52:57,899 lovely metaphor of looking through a telescope in space, 1129 00:52:57,899 --> 00:52:59,066 through a telescope in space, and in fact, we should not see 1130 00:52:59,066 --> 00:53:01,867 and in fact, we should not see the impact. Those measures for 1131 00:53:01,867 --> 00:53:03,533 the impact. Those measures for another two weeks, so how can 1132 00:53:03,533 --> 00:53:05,000 another two weeks, so how can you explain the time of this 1133 00:53:05,000 --> 00:53:06,667 you explain the time of this and what is your message to 1134 00:53:06,667 --> 00:53:08,899 and what is your message to those countries? experiencing 1135 00:53:08,899 --> 00:53:13,033 those countries? experiencing Research’s? Thank you. Alright. 1136 00:53:13,033 --> 00:53:15,500 Research’s? Thank you. Alright. Thanks. you know, I think most 1137 00:53:15,500 --> 00:53:16,867 Thanks. you know, I think most people observing around the 1138 00:53:16,867 --> 00:53:18,533 people observing around the world has also seen that in 1139 00:53:18,533 --> 00:53:20,800 world has also seen that in advance of the lifting of 1140 00:53:20,800 --> 00:53:21,399 advance of the lifting of measures. social mobility has 1141 00:53:21,399 --> 00:53:23,367 measures. social mobility has actually increased as well 1142 00:53:23,367 --> 00:53:25,367 actually increased as well before anticipation, so it 1143 00:53:25,367 --> 00:53:26,667 before anticipation, so it could well be the people we’re 1144 00:53:26,667 --> 00:53:27,866 could well be the people we’re already beginning to move 1145 00:53:27,866 --> 00:53:30,966 already beginning to move before the the actual. 1146 00:53:30,966 --> 00:53:32,100 before the the actual. Restrictions were lifted, but I 1147 00:53:32,100 --> 00:53:34,767 Restrictions were lifted, but I think the tell and the telling 1148 00:53:34,767 --> 00:53:38,300 think the tell and the telling thing here is that it’s really 1149 00:53:38,300 --> 00:53:38,800 thing here is that it’s really important and countries like 1150 00:53:38,800 --> 00:53:41,066 important and countries like Germany and countries like 1151 00:53:41,066 --> 00:53:42,600 Germany and countries like Korea shouldn’t be criticized 1152 00:53:42,600 --> 00:53:45,067 Korea shouldn’t be criticized for looking for finding for 1153 00:53:45,067 --> 00:53:50,534 for looking for finding for being alert for being ready and 1154 00:53:50,534 --> 00:53:52,933 being alert for being ready and reacting quickly and engaging 1155 00:53:52,933 --> 00:53:54,500 reacting quickly and engaging quickly to investigate to 1156 00:53:54,500 --> 00:53:55,399 quickly to investigate to isolate the trace and track cuz 1157 00:53:55,399 --> 00:53:56,800 isolate the trace and track cuz that’s what we’ve been saying 1158 00:53:56,800 --> 00:53:58,732 that’s what we’ve been saying The virus is still here so even 1159 00:53:58,732 --> 00:54:00,800 The virus is still here so even as you lift lock downs even in 1160 00:54:00,800 --> 00:54:01,867 as you lift lock downs even in low incidents situations even 1161 00:54:01,867 --> 00:54:02,499 low incidents situations even in a place like Korea, where 1162 00:54:02,499 --> 00:54:05,567 in a place like Korea, where the incidents or the number of. 1163 00:54:05,567 --> 00:54:07,533 the incidents or the number of. They have dropped to a very low 1164 00:54:07,533 --> 00:54:09,067 They have dropped to a very low level. They didn’t let their 1165 00:54:09,067 --> 00:54:09,667 level. They didn’t let their guard down. They knew the virus 1166 00:54:09,667 --> 00:54:13,099 guard down. They knew the virus is still here and the virus is 1167 00:54:13,099 --> 00:54:14,533 is still here and the virus is still here a lot more in other 1168 00:54:14,533 --> 00:54:16,067 still here a lot more in other countries so the warning to 1169 00:54:16,067 --> 00:54:18,966 countries so the warning to everyone is as restrictions are 1170 00:54:18,966 --> 00:54:21,367 everyone is as restrictions are lifted people will make more 1171 00:54:21,367 --> 00:54:23,400 lifted people will make more that is undoubtedly and it and 1172 00:54:23,400 --> 00:54:25,033 that is undoubtedly and it and they will maintain physical 1173 00:54:25,033 --> 00:54:25,967 they will maintain physical distance and they will do other 1174 00:54:25,967 --> 00:54:28,000 distance and they will do other things, but the risk of 1175 00:54:28,000 --> 00:54:30,567 things, but the risk of transmission will potentially 1176 00:54:30,567 --> 00:54:31,866 transmission will potentially go up. The question is. can we 1177 00:54:31,866 --> 00:54:32,367 go up. The question is. can we reach a point where we have 1178 00:54:32,367 --> 00:54:34,800 reach a point where we have strong public health measures? 1179 00:54:34,800 --> 00:54:37,167 strong public health measures? Place where we can investigate 1180 00:54:37,167 --> 00:54:39,100 Place where we can investigate clusters of cases and suppress 1181 00:54:39,100 --> 00:54:40,000 clusters of cases and suppress those clusters without going 1182 00:54:40,000 --> 00:54:41,900 those clusters without going back to the intense 1183 00:54:41,900 --> 00:54:44,266 back to the intense transmission patterns of before 1184 00:54:44,266 --> 00:54:45,499 transmission patterns of before and that’s what we’re trying to 1185 00:54:45,499 --> 00:54:48,066 and that’s what we’re trying to avoid. so we hope and we have 1186 00:54:48,066 --> 00:54:50,899 avoid. so we hope and we have faith that Germany, Korea and 1187 00:54:50,899 --> 00:54:54,334 faith that Germany, Korea and other countries will be able to 1188 00:54:54,334 --> 00:54:55,900 other countries will be able to suppress the clusters they’re 1189 00:54:55,900 --> 00:54:57,567 suppress the clusters they’re having and in some cases and 1190 00:54:57,567 --> 00:54:58,933 having and in some cases and maybe at a subnational level, 1191 00:54:58,933 --> 00:55:01,733 maybe at a subnational level, they may have to impose some 1192 00:55:01,733 --> 00:55:03,000 they may have to impose some specific measures that are 1193 00:55:03,000 --> 00:55:04,267 specific measures that are targeted at reducing particular 1194 00:55:04,267 --> 00:55:05,733 targeted at reducing particular types of transmission and 1195 00:55:05,733 --> 00:55:09,833 types of transmission and again. Seen the situation where 1196 00:55:09,833 --> 00:55:10,633 again. Seen the situation where people come together in a 1197 00:55:10,633 --> 00:55:13,900 people come together in a crowded environment is probably 1198 00:55:13,900 --> 00:55:15,967 crowded environment is probably the riskiest situation that we 1199 00:55:15,967 --> 00:55:18,267 the riskiest situation that we face, especially if there’s 1200 00:55:18,267 --> 00:55:19,967 face, especially if there’s still a disease present at the 1201 00:55:19,967 --> 00:55:21,433 still a disease present at the country level. So there’s a lot 1202 00:55:21,433 --> 00:55:23,733 country level. So there’s a lot to be done but it’s really 1203 00:55:23,733 --> 00:55:26,266 to be done but it’s really important that we called up 1204 00:55:26,266 --> 00:55:27,832 important that we called up examples of countries who are 1205 00:55:27,832 --> 00:55:30,167 examples of countries who are willing to open their eyes and 1206 00:55:30,167 --> 00:55:32,000 willing to open their eyes and willing to keep their eyes open 1207 00:55:32,000 --> 00:55:35,367 willing to keep their eyes open and shutting your eyes and and 1208 00:55:35,367 --> 00:55:37,234 and shutting your eyes and and and trying to drive through 1209 00:55:37,234 --> 00:55:38,300 and trying to drive through this blind is about as silly 1210 00:55:38,300 --> 00:55:39,400 this blind is about as silly and equation as I’ve seen and 1211 00:55:39,400 --> 00:55:43,033 and equation as I’ve seen and I’m really concern. The certain 1212 00:55:43,033 --> 00:55:44,466 I’m really concern. The certain countries are saving up for 1213 00:55:44,466 --> 00:55:45,566 countries are saving up for some seriously driving over the 1214 00:55:45,566 --> 00:55:49,299 some seriously driving over the next few months. 1215 00:55:49,600 --> 00:55:51,967 If I could just add something 1216 00:55:51,967 --> 00:55:53,433 If I could just add something short to say that you know, you 1217 00:55:53,433 --> 00:55:54,900 short to say that you know, you said, what can we say to these 1218 00:55:54,900 --> 00:55:56,467 said, what can we say to these countries? It’s just you know, 1219 00:55:56,467 --> 00:55:58,100 countries? It’s just you know, Stay strong. Stay vigilant. you 1220 00:55:58,100 --> 00:56:00,000 Stay strong. Stay vigilant. you know keep doing what you’re 1221 00:56:00,000 --> 00:56:01,433 know keep doing what you’re doing be open be transparent as 1222 00:56:01,433 --> 00:56:03,167 doing be open be transparent as you are and as Mike said, this 1223 00:56:03,167 --> 00:56:04,533 you are and as Mike said, this isn’t this isn’t a punishment 1224 00:56:04,533 --> 00:56:05,967 isn’t this isn’t a punishment you know for reporting this. we 1225 00:56:05,967 --> 00:56:06,900 you know for reporting this. we shouldn’t be punishing 1226 00:56:06,900 --> 00:56:08,067 shouldn’t be punishing countries for reporting this. 1227 00:56:08,067 --> 00:56:09,366 countries for reporting this. we should be saying this is 1228 00:56:09,366 --> 00:56:10,266 we should be saying this is what we need to be doing and we 1229 00:56:10,266 --> 00:56:12,399 what we need to be doing and we need to be learning from each 1230 00:56:12,399 --> 00:56:15,100 need to be learning from each other every country every 1231 00:56:15,100 --> 00:56:16,700 other every country every person has something to teach 1232 00:56:16,700 --> 00:56:17,800 person has something to teach us about this virus and we need 1233 00:56:17,800 --> 00:56:18,466 us about this virus and we need to learn from each other. We 1234 00:56:18,466 --> 00:56:21,667 to learn from each other. We need to be humble. This virus 1235 00:56:21,667 --> 00:56:24,133 need to be humble. This virus is smart that this virus finds 1236 00:56:24,133 --> 00:56:26,633 is smart that this virus finds those cracks this virus has 1237 00:56:26,633 --> 00:56:29,133 those cracks this virus has plenty of place to move and if 1238 00:56:29,133 --> 00:56:32,000 plenty of place to move and if we take a slow and a staggered 1239 00:56:32,000 --> 00:56:33,666 we take a slow and a staggered and a data driven approach to 1240 00:56:33,666 --> 00:56:35,633 and a data driven approach to adjusting our measures, whether 1241 00:56:35,633 --> 00:56:37,533 adjusting our measures, whether the adjustment is lifting the 1242 00:56:37,533 --> 00:56:39,866 the adjustment is lifting the measures or the adjustment is 1243 00:56:39,866 --> 00:56:42,366 measures or the adjustment is intensifying them again. it’s 1244 00:56:42,366 --> 00:56:43,533 intensifying them again. it’s really important that it’s a 1245 00:56:43,533 --> 00:56:45,467 really important that it’s a data driven approach and that’s 1246 00:56:45,467 --> 00:56:46,633 data driven approach and that’s what we’re seeing in these 1247 00:56:46,633 --> 00:56:47,966 what we’re seeing in these countries. they’re looking at 1248 00:56:47,966 --> 00:56:49,133 countries. they’re looking at different measures. they’re 1249 00:56:49,133 --> 00:56:50,599 different measures. they’re looking at different parameters 1250 00:56:50,599 --> 00:56:51,333 looking at different parameters like the reproduction number, 1251 00:56:51,333 --> 00:56:52,200 like the reproduction number, for example, at the percent 1252 00:56:52,200 --> 00:56:54,799 for example, at the percent positive. Coming back from 1253 00:56:54,799 --> 00:56:57,333 positive. Coming back from their tests and they’re they 1254 00:56:57,333 --> 00:56:58,933 their tests and they’re they are humble in this and there’s 1255 00:56:58,933 --> 00:57:00,466 are humble in this and there’s they’re showing that they can 1256 00:57:00,466 --> 00:57:02,133 they’re showing that they can find cases again. but they’re 1257 00:57:02,133 --> 00:57:03,466 find cases again. but they’re taking that same aggressive 1258 00:57:03,466 --> 00:57:04,366 taking that same aggressive approach that they did the 1259 00:57:04,366 --> 00:57:05,533 approach that they did the first time and they will show 1260 00:57:05,533 --> 00:57:06,533 first time and they will show us that they can bring this 1261 00:57:06,533 --> 00:57:10,000 us that they can bring this under control so keeping the 1262 00:57:10,000 --> 00:57:11,567 under control so keeping the public informed about what is 1263 00:57:11,567 --> 00:57:13,866 public informed about what is happening as these measures get 1264 00:57:13,866 --> 00:57:15,533 happening as these measures get lifted and if they have to be 1265 00:57:15,533 --> 00:57:17,267 lifted and if they have to be intensified again, it is really 1266 00:57:17,267 --> 00:57:19,599 intensified again, it is really critical because people are 1267 00:57:19,599 --> 00:57:20,533 critical because people are growing tired, We understand 1268 00:57:20,533 --> 00:57:21,367 growing tired, We understand but we need people to stay with 1269 00:57:21,367 --> 00:57:24,133 but we need people to stay with us, you know to. Understand 1270 00:57:24,133 --> 00:57:25,066 us, you know to. Understand that this is gonna take some 1271 00:57:25,066 --> 00:57:26,866 that this is gonna take some time to work through and we may 1272 00:57:26,866 --> 00:57:28,466 time to work through and we may not get this right exactly. at 1273 00:57:28,466 --> 00:57:29,967 not get this right exactly. at the first time we may have to 1274 00:57:29,967 --> 00:57:31,400 the first time we may have to implement we may have to lift 1275 00:57:31,400 --> 00:57:33,966 implement we may have to lift we may have to adjust but we 1276 00:57:33,966 --> 00:57:35,733 we may have to adjust but we will get through this and so 1277 00:57:35,733 --> 00:57:37,900 will get through this and so just stay vigilant. Stay 1278 00:57:37,900 --> 00:57:40,000 just stay vigilant. Stay strong. Be open be transparent 1279 00:57:40,000 --> 00:57:41,733 strong. Be open be transparent and be aggressive and and you 1280 00:57:41,733 --> 00:57:44,999 and be aggressive and and you will get through this. 1281 00:57:45,367 --> 00:57:48,966 Thanks, maybe last question 1282 00:57:48,966 --> 00:57:50,833 Thanks, maybe last question that we can take for today and 1283 00:57:50,833 --> 00:57:53,566 that we can take for today and that would be a sign on from 1284 00:57:53,566 --> 00:57:56,999 that would be a sign on from today. News Africa Simon. Yeah. 1285 00:57:56,999 --> 00:57:58,400 today. News Africa Simon. Yeah. Thank you for taking my 1286 00:57:58,400 --> 00:58:00,866 Thank you for taking my question this time-table from 1287 00:58:00,866 --> 00:58:02,600 question this time-table from today, News Africa and 1288 00:58:02,600 --> 00:58:04,932 today, News Africa and Washington DC. I wanted a 1289 00:58:04,932 --> 00:58:07,533 Washington DC. I wanted a doctor Pedros to comment a 1290 00:58:07,533 --> 00:58:11,367 doctor Pedros to comment a little bit more on the latest 1291 00:58:11,367 --> 00:58:12,532 little bit more on the latest projection that up to half 1292 00:58:12,532 --> 00:58:17,567 projection that up to half A million HIV. Additional HIV 1293 00:58:17,567 --> 00:58:18,132 A million HIV. Additional HIV death could be recorded 1294 00:58:18,132 --> 00:58:21,733 death could be recorded recorded in Sub-Saharan Africa 1295 00:58:21,733 --> 00:58:24,466 recorded in Sub-Saharan Africa as a result of covid- 19 1296 00:58:24,466 --> 00:58:26,433 as a result of covid- 19 disruption. is there anything 1297 00:58:26,433 --> 00:58:29,033 disruption. is there anything that we can do any argentin 1298 00:58:29,033 --> 00:58:29,599 that we can do any argentin that we need to do right now. 1299 00:58:29,599 --> 00:58:32,800 that we need to do right now. Thank you. 1300 00:58:34,433 --> 00:58:38,432 I can begin to I think again 1301 00:58:38,432 --> 00:58:41,866 I can begin to I think again that the DG did say in his 1302 00:58:41,866 --> 00:58:42,866 that the DG did say in his speech that this is the worst 1303 00:58:42,866 --> 00:58:44,800 speech that this is the worst case scenario where he’s laying 1304 00:58:44,800 --> 00:58:46,366 case scenario where he’s laying out for people is the future 1305 00:58:46,366 --> 00:58:48,633 out for people is the future scenario If we don’t fix the 1306 00:58:48,633 --> 00:58:49,900 scenario If we don’t fix the things that need to be fixed 1307 00:58:49,900 --> 00:58:51,466 things that need to be fixed and this is really about the 1308 00:58:51,466 --> 00:58:52,967 and this is really about the supply chain for drugs and the 1309 00:58:52,967 --> 00:58:54,200 supply chain for drugs and the basic primary health care and 1310 00:58:54,200 --> 00:58:55,733 basic primary health care and the basic services available to 1311 00:58:55,733 --> 00:58:58,167 the basic services available to people living with HIV. I think 1312 00:58:58,167 --> 00:59:00,433 people living with HIV. I think we’ve all seen the great 1313 00:59:00,433 --> 00:59:01,199 we’ve all seen the great success, The great partnership 1314 00:59:01,199 --> 00:59:03,266 success, The great partnership that has led to a dramatic fall 1315 00:59:03,266 --> 00:59:05,599 that has led to a dramatic fall in HIV positive and age-related 1316 00:59:05,599 --> 00:59:06,400 in HIV positive and age-related deaths in Africa over the last 1317 00:59:06,400 --> 00:59:07,200 deaths in Africa over the last number of years a partnership 1318 00:59:07,200 --> 00:59:11,367 number of years a partnership that’s. It’s existed with 1319 00:59:11,367 --> 00:59:13,200 that’s. It’s existed with countries from with support 1320 00:59:13,200 --> 00:59:14,300 countries from with support from external countries, the 1321 00:59:14,300 --> 00:59:17,666 from external countries, the director general so well in the 1322 00:59:17,666 --> 00:59:19,500 director general so well in the office. We’re very closely with 1323 00:59:19,500 --> 00:59:20,199 office. We’re very closely with Pep for the US government and 1324 00:59:20,199 --> 00:59:22,733 Pep for the US government and others to reduce the scourge of 1325 00:59:22,733 --> 00:59:24,000 others to reduce the scourge of HIV and Aids so many other 1326 00:59:24,000 --> 00:59:26,733 HIV and Aids so many other donors from around the world. 1327 00:59:26,733 --> 00:59:28,000 donors from around the world. We don’t want to lose those 1328 00:59:28,000 --> 00:59:29,767 We don’t want to lose those gains and I’m sure nobody wants 1329 00:59:29,767 --> 00:59:33,200 gains and I’m sure nobody wants to lose those gains and we need 1330 00:59:33,200 --> 00:59:35,533 to lose those gains and we need to work together to ensure that 1331 00:59:35,533 --> 00:59:36,599 to work together to ensure that we have the drugs and when we 1332 00:59:36,599 --> 00:59:39,866 we have the drugs and when we know where. 1333 01:00:13,600 --> 01:00:15,233 Thank you, I think we can 1334 01:00:15,233 --> 01:00:17,433 Thank you, I think we can conclude this press briefing 1335 01:00:17,433 --> 01:00:18,999 conclude this press briefing with this question from Simon 1336 01:00:18,999 --> 01:00:22,566 with this question from Simon at Teva. all your files will be 1337 01:00:22,566 --> 01:00:24,399 at Teva. all your files will be sent out shortly and trust will 1338 01:00:24,399 --> 01:00:26,633 sent out shortly and trust will be available tomorrow just to 1339 01:00:26,633 --> 01:00:28,067 be available tomorrow just to remind you that the two of our 1340 01:00:28,067 --> 01:00:29,133 remind you that the two of our regional offices will have a 1341 01:00:29,133 --> 01:00:32,333 regional offices will have a press briefings tomorrow W CW 1342 01:00:32,333 --> 01:00:32,699 press briefings tomorrow W CW regional office in 1343 01:00:32,699 --> 01:00:34,499 regional office in Mediterranean as well as the 1344 01:00:34,499 --> 01:00:35,967 Mediterranean as well as the regional office for Americas 1345 01:00:35,967 --> 01:00:38,867 regional office for Americas and those advisories will be 1346 01:00:38,867 --> 01:00:41,333 and those advisories will be sent to you. I wish everyone a 1347 01:00:41,333 --> 01:00:42,866 sent to you. I wish everyone a very nice rest of the day or 1348 01:00:42,866 --> 01:00:45,533 very nice rest of the day or evening. Okay. Thank you. Also 1349 01:00:45,533 --> 01:00:49,066 evening. Okay. Thank you. Also from my side and see you on 1350 01:00:49,066 --> 01:00:52,333 from my side and see you on Wednesday, Thank you.