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Dataset Information

Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey.


ABSTRACT:

Objectives

This study aims to evaluate the public acceptance of coronavirus disease 2019 (COVID-19) control measures during the Omicron-dominant period and its associated factors.

Methods

A cross-sectional design was conducted and 1391 study participants were openly recruited to participate in the questionnaire survey. Logistic regression model was performed to assess the association between the public acceptance and potential factors more specifically.

Results

By August 26, 2022, 58.9% of the study participants were less acceptive of the control measures while 41.1% expressed higher acceptance. Factors associated with lower acceptance included young age, such as < 18 (OR = 8.251, 95% CI: 2.009 to 33.889) and 18-29 (OR = 2.349, 95% CI: 1.564 to 3.529), and household p

SUBMITTER: Zhong J 

PROVIDER: S-EPMC10882874 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature