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Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong

Hong Kong has implemented stringent public health and social measures (PHSMs) to curb each of the four COVID-19 epidemic waves since January 2020. The third wave between July and September 2020 was brought under control within 2 m, while the fourth wave starting from the end of October 2020 has take...

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Autores principales: Du, Zhanwei, Wang, Lin, Shan, Songwei, Lam, Dickson, Tsang, Tim K., Xiao, Jingyi, Gao, Huizhi, Yang, Bingyi, Ali, Sheikh Taslim, Pei, Sen, Fung, Isaac Chun-Hai, Lau, Eric H. Y., Liao, Qiuyan, Wu, Peng, Meyers, Lauren Ancel, Leung, Gabriel M., Cowling, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860288/
https://www.ncbi.nlm.nih.gov/pubmed/36417445
http://dx.doi.org/10.1073/pnas.2213313119
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author Du, Zhanwei
Wang, Lin
Shan, Songwei
Lam, Dickson
Tsang, Tim K.
Xiao, Jingyi
Gao, Huizhi
Yang, Bingyi
Ali, Sheikh Taslim
Pei, Sen
Fung, Isaac Chun-Hai
Lau, Eric H. Y.
Liao, Qiuyan
Wu, Peng
Meyers, Lauren Ancel
Leung, Gabriel M.
Cowling, Benjamin J.
author_facet Du, Zhanwei
Wang, Lin
Shan, Songwei
Lam, Dickson
Tsang, Tim K.
Xiao, Jingyi
Gao, Huizhi
Yang, Bingyi
Ali, Sheikh Taslim
Pei, Sen
Fung, Isaac Chun-Hai
Lau, Eric H. Y.
Liao, Qiuyan
Wu, Peng
Meyers, Lauren Ancel
Leung, Gabriel M.
Cowling, Benjamin J.
author_sort Du, Zhanwei
collection PubMed
description Hong Kong has implemented stringent public health and social measures (PHSMs) to curb each of the four COVID-19 epidemic waves since January 2020. The third wave between July and September 2020 was brought under control within 2 m, while the fourth wave starting from the end of October 2020 has taken longer to bring under control and lasted at least 5 mo. Here, we report the pandemic fatigue as one of the potential reasons for the reduced impact of PHSMs on transmission in the fourth wave. We contacted either 500 or 1,000 local residents through weekly random-digit dialing of landlines and mobile telephones from May 2020 to February 2021. We analyze the epidemiological impact of pandemic fatigue by using the large and detailed cross-sectional telephone surveys to quantify risk perception and self-reported protective behaviors and mathematical models to incorporate population protective behaviors. Our retrospective prediction suggests that an increase of 100 daily new reported cases would lead to 6.60% (95% CI: 4.03, 9.17) more people worrying about being infected, increase 3.77% (95% CI: 2.46, 5.09) more people to avoid social gatherings, and reduce the weekly mean reproduction number by 0.32 (95% CI: 0.20, 0.44). Accordingly, the fourth wave would have been 14% (95% CI%: −53%, 81%) smaller if not for pandemic fatigue. This indicates the important role of mitigating pandemic fatigue in maintaining population protective behaviors for controlling COVID-19.
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spelling pubmed-98602882023-02-01 Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong Du, Zhanwei Wang, Lin Shan, Songwei Lam, Dickson Tsang, Tim K. Xiao, Jingyi Gao, Huizhi Yang, Bingyi Ali, Sheikh Taslim Pei, Sen Fung, Isaac Chun-Hai Lau, Eric H. Y. Liao, Qiuyan Wu, Peng Meyers, Lauren Ancel Leung, Gabriel M. Cowling, Benjamin J. Proc Natl Acad Sci U S A Biological Sciences Hong Kong has implemented stringent public health and social measures (PHSMs) to curb each of the four COVID-19 epidemic waves since January 2020. The third wave between July and September 2020 was brought under control within 2 m, while the fourth wave starting from the end of October 2020 has taken longer to bring under control and lasted at least 5 mo. Here, we report the pandemic fatigue as one of the potential reasons for the reduced impact of PHSMs on transmission in the fourth wave. We contacted either 500 or 1,000 local residents through weekly random-digit dialing of landlines and mobile telephones from May 2020 to February 2021. We analyze the epidemiological impact of pandemic fatigue by using the large and detailed cross-sectional telephone surveys to quantify risk perception and self-reported protective behaviors and mathematical models to incorporate population protective behaviors. Our retrospective prediction suggests that an increase of 100 daily new reported cases would lead to 6.60% (95% CI: 4.03, 9.17) more people worrying about being infected, increase 3.77% (95% CI: 2.46, 5.09) more people to avoid social gatherings, and reduce the weekly mean reproduction number by 0.32 (95% CI: 0.20, 0.44). Accordingly, the fourth wave would have been 14% (95% CI%: −53%, 81%) smaller if not for pandemic fatigue. This indicates the important role of mitigating pandemic fatigue in maintaining population protective behaviors for controlling COVID-19. National Academy of Sciences 2022-11-23 2022-11-29 /pmc/articles/PMC9860288/ /pubmed/36417445 http://dx.doi.org/10.1073/pnas.2213313119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Du, Zhanwei
Wang, Lin
Shan, Songwei
Lam, Dickson
Tsang, Tim K.
Xiao, Jingyi
Gao, Huizhi
Yang, Bingyi
Ali, Sheikh Taslim
Pei, Sen
Fung, Isaac Chun-Hai
Lau, Eric H. Y.
Liao, Qiuyan
Wu, Peng
Meyers, Lauren Ancel
Leung, Gabriel M.
Cowling, Benjamin J.
Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title_full Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title_fullStr Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title_full_unstemmed Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title_short Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong
title_sort pandemic fatigue impedes mitigation of covid-19 in hong kong
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860288/
https://www.ncbi.nlm.nih.gov/pubmed/36417445
http://dx.doi.org/10.1073/pnas.2213313119
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