Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong

Author:

Du Zhanwei12ORCID,Wang Lin3ORCID,Shan Songwei12,Lam Dickson4,Tsang Tim K.12,Xiao Jingyi1,Gao Huizhi1,Yang Bingyi1,Ali Sheikh Taslim12,Pei Sen5ORCID,Fung Isaac Chun-Hai6ORCID,Lau Eric H. Y.12ORCID,Liao Qiuyan1,Wu Peng12ORCID,Meyers Lauren Ancel78ORCID,Leung Gabriel M.12,Cowling Benjamin J.12ORCID

Affiliation:

1. World Health Organization Collaborating Center for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region 000000, China

2. Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region 000000, China

3. Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom

4. Independent Researcher, Hong Kong Special Administrative Region 000000, China

5. Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10027

6. Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460

7. Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712

8. Santa Fe Institute, Santa Fe, NM 87507

Abstract

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.

Funder

Innovation and Technology Commission

National Natural Science Foundation of China

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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