Evidence map›Paper›PMID 38935420›Full record

ArticleJMIR public health and surveillance2024

Pandemic Fatigue and Preferences for COVID-19 Public Health and Social Measures in China: Nationwide Discrete Choice Experiment.

Meng Yang, Zonglin He, Yin Zhang, Taoran Liu, Wai-Kit Ming

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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meng YangSchool of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0003-1406-1640
Zonglin HeDivision of Life Science, Hong Kong University of Science and Technology, Hong Kong, China (Hong Kong).ORCID 0000-0001-7650-1459
Yin ZhangDepartment of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0009-0000-4538-0383
Taoran Liu *Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7806-1263
Wai-Kit Ming *Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-8846-7515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation on the public's preferences for current public health and social measures (PHSMs) and people's mental health under PHSMs is insufficient.

objectiveThis study aimed to quantify the public's preferences for varied PHSMs and measure the level of pandemic fatigue in the COVID-19 normalization stage in China.

methodsA nationwide cross-sectional study with a discrete choice experiment and psychometric scales was conducted to assess public preferences for and attitudes toward PHSMs, using the quota sampling method. The COVID-19 Pandemic Fatigue Scale (CPFS) was used to screen fatigue levels among respondents. The multinomial logit model, latent class model, and Mann-Whitney test were used for statistical analysis. We also conducted subgroup analysis based on sex, age, monthly income, mental health status, and pandemic fatigue status.

resultsA total of 689 respondents across China completed the survey. The discrete choice experiment revealed that respondents attached the greatest importance to the risk of COVID-19 infection within 3 months (45.53%), followed by loss of income within 3 months (30.69%). Vulnerable populations (low-income populations and elderly people) were more sensitive to the risk of infection, while younger respondents were more sensitive to income loss and preferred nonsuspension of social places and transportation. Migrants and those with pandemic fatigue had less acceptance of the mandatory booster vaccination and suspension of transportation. Additionally, a higher pandemic fatigue level was observed in female respondents, younger respondents, migrants, and relatively lower-income respondents (CPFS correlation with age: r=-0.274, P<.001; correlation with monthly income: r=-0.25, P<.001). Mandatory booster COVID-19 vaccination was also not preferred by respondents with a higher level of pandemic fatigue, while universal COVID-19 booster vaccination was preferred by respondents with a lower level of pandemic fatigue.

conclusionsPandemic fatigue is widely prevalent in respondents across China, and respondents desired the resumption of normal social life while being confronted with the fear of COVID-19 infection in the normalization stage of COVID-19 in China. During future pandemics, the mental burden and adherence of residents should be considered for the proper implementation of PHSMs.

Indexed as

COVID-19Public HealthAdolescentAdultAgedChinaChoice BehaviorCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedPandemicsSurveys and QuestionnairesYoung AdultCOVID-19discrete choice experimentpandemic fatiguepreferencepublic health and social measures

Identifiers

PMID38935420
PMCPMC11240073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.