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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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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. |
format | Online Article Text |
id | pubmed-9860288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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