tetano
Editor, Senior Moderator
BMC Public Health
. 2024 Feb 21;24(1):543.
doi: 10.1186/s12889-024-17646-3. Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey
Jiayi Zhong[SUP] #[/SUP][SUP] 1 [/SUP], Qianhong Zhong[SUP] #[/SUP][SUP] 2 [/SUP], Husheng Xiong[SUP] 1 [/SUP], Dawei Wu[SUP] 1 [/SUP], Caiyun Zheng[SUP] 1 [/SUP], Shuang Liu[SUP] 1 [/SUP], Qinyi Zhong[SUP] 3 [/SUP], Yan Chen[SUP] 4 [/SUP], Dingmei Zhang[SUP] 5 [/SUP]
Affiliations
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 per capita monthly income lower than 5000 yuan (OR = 1.512, 95% CI: 1.085 to 2.105). Furthermore, individuals who perceived that the case fatality rate (CFR) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was very low (OR = 6.010, 95% CI: 2.475 to 14.595) and that the restrictions could be eased once the CFR dropped to 2-3 times of the influenza (OR = 2.792, 95% CI: 1.939 to 4.023) showed greater oppositional attitudes. Likewise, respondents who were dissatisfied with control measures (OR = 9.639, 95% CI: 4.425 to 20.998) or preferred fully relaxation as soon as possible (OR = 13.571, 95% CI: 7.751 to 23.758) had even lower acceptability. By contrast, rural residents (OR = 0.683, 95% CI: 0.473 to 0.987), students (OR = 0.510, 95% CI: 0.276 to 0.941), public (OR = 0.417, 95% CI: 0.240 to 0.727) and private (OR = 0.562, 95% CI: 0.320 to 0.986) employees, and vaccinated participants (OR = 0.393, 95% CI: 0.204 to 0.756) were more compliant with control measures.
Conclusion: More than half of the Chinese public were less supportive of COVID-19 control measures during Omicron-dominant period, which varied based on their different demographic characteristics, cognition and overall attitude towards SARS-CoV-2 infection. Control measures that struck a balance between public safety and individual freedom would be more acceptable during the pandemic.
Keywords: COVID-19; Control measures; Omicron variant; Public acceptance; Public health strategy; Vaccination.
. 2024 Feb 21;24(1):543.
doi: 10.1186/s12889-024-17646-3. Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey
Jiayi Zhong[SUP] #[/SUP][SUP] 1 [/SUP], Qianhong Zhong[SUP] #[/SUP][SUP] 2 [/SUP], Husheng Xiong[SUP] 1 [/SUP], Dawei Wu[SUP] 1 [/SUP], Caiyun Zheng[SUP] 1 [/SUP], Shuang Liu[SUP] 1 [/SUP], Qinyi Zhong[SUP] 3 [/SUP], Yan Chen[SUP] 4 [/SUP], Dingmei Zhang[SUP] 5 [/SUP]
Affiliations
- PMID: 38383375
- DOI: 10.1186/s12889-024-17646-3
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 per capita monthly income lower than 5000 yuan (OR = 1.512, 95% CI: 1.085 to 2.105). Furthermore, individuals who perceived that the case fatality rate (CFR) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was very low (OR = 6.010, 95% CI: 2.475 to 14.595) and that the restrictions could be eased once the CFR dropped to 2-3 times of the influenza (OR = 2.792, 95% CI: 1.939 to 4.023) showed greater oppositional attitudes. Likewise, respondents who were dissatisfied with control measures (OR = 9.639, 95% CI: 4.425 to 20.998) or preferred fully relaxation as soon as possible (OR = 13.571, 95% CI: 7.751 to 23.758) had even lower acceptability. By contrast, rural residents (OR = 0.683, 95% CI: 0.473 to 0.987), students (OR = 0.510, 95% CI: 0.276 to 0.941), public (OR = 0.417, 95% CI: 0.240 to 0.727) and private (OR = 0.562, 95% CI: 0.320 to 0.986) employees, and vaccinated participants (OR = 0.393, 95% CI: 0.204 to 0.756) were more compliant with control measures.
Conclusion: More than half of the Chinese public were less supportive of COVID-19 control measures during Omicron-dominant period, which varied based on their different demographic characteristics, cognition and overall attitude towards SARS-CoV-2 infection. Control measures that struck a balance between public safety and individual freedom would be more acceptable during the pandemic.
Keywords: COVID-19; Control measures; Omicron variant; Public acceptance; Public health strategy; Vaccination.