Evidence map›Paper›PMID 40155877›Full record

ArticleBMC public health2025

Satisfaction with and factors influencing rural residents' government responses to COVID-19 in the post-pandemic era.

Wuwei Wang, Xiaokang Li, Liming Zhang, Hao Li, Dacai Deng

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Wuwei WangCollege of urban and environmental sciences, Central China Normal University, 152 Luoyu Street, Hongshan District, Wuhan, 430079, China.
Xiaokang LiInstitute of China Rural Studies, Central China Normal University, 152 Luoyu Street, Hongshan District, Wuhan, 430079, China.
Liming ZhangInstitute of China Rural Studies, Central China Normal University, 152 Luoyu Street, Hongshan District, Wuhan, 430079, China.
Hao LiInstitute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China.
Dacai DengSchool of Public Administration, Zhejiang University of Finance & Economics, Hangzhou, 310018, China. dengdacai@126.com.

Funding

Fund for Postdoctoral Innovation Research Positions in Hubei Province in 2023 No. 30205202353the China Postdoctoral Science Foundation No. 2024M751061the Major Program of the National Social Science Fund of China No. 24&ZD142the Ministry of Education, Humanities and Social Sciences Youth Fund No. 24YJCZH313
6 · The paper itself

Abstract

backgroundChina lifted its strict COVID-19 lockdown policies on December 8, 2022, transitioning to a series of milder preventive measures. Understanding the factors influencing rural residents' satisfaction with these policies is crucial for strengthening the government's ability to effectively respond to public health emergencies such as the COVID-19 pandemic.

methodsA cross-sectional survey on government policy satisfaction was conducted from January 28 to 31, 2023, and a convenience sampling method was used to recruit 1,276 rural residents across 27 provinces. Chi-square tests and logistic regression analysis were employed to identify the factors influencing rural residents' satisfaction with the government's pandemic response, with the significance level set at α = 0.05.

resultsA total of 59.87% of the participants reported being satisfied with the government's pandemic response. Logistic regression analysis revealed that migrant workers had lower levels of satisfaction with government pandemic policies (OR = 0.56, 95% CI: 0.40-0.80). The worse the government's ability to treat COVID-19 patients is, the lower their level of satisfaction (OR = 0.51, 95% CI: 0.38-0.70). Conversely, rural residents who exercised regularly presented higher levels of satisfaction (OR = 1.55, 95% CI: 1.19-2.01). Satisfaction was positively associated with key control measures, including health screenings (OR = 2.19, 95% CI: 1.48-3.22), pandemic control teams (OR = 2.21, 95% CI: 1.51-3.23), and restrictions on gatherings (OR = 1.57, 95% CI: 1.12-2.19). Inadequate health advocacy was negatively correlated with satisfaction (OR = 0.66, 95% CI: 0.44-0.99). Significant regional differences were observed, with residents in eastern China (OR = 1.57, 95% CI: 1.17-2.12) and western China (OR = 1.90, 95% CI: 1.37-2.63) reporting higher levels of satisfaction than those in central China did.

conclusionMore than half of rural residents are satisfied with the government's pandemic response, but significant room for improvement remains. Notably, the lower satisfaction levels among rural residents in central China warrant greater attention. This study identifies various factors influencing satisfaction with government pandemic policies, offering a scientific reference for enhancing responses to public health emergencies such as the COVID-19 pandemic.

Indexed as

COVID-19Personal SatisfactionRural PopulationAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesCOVID-19Influencing factorPandemic policyRural residentsSatisfaction

Identifiers

PMID40155877
PMCPMC11951600

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LicenceCC BY-NC-ND
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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.