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How urban versus rural population relates to COVID-19 booster vaccine hesitancy: A propensity score matching design study.

Yudong MiaoJunwen BaiZhanlei ShenYi LiWanliang ZhangDongfang ZhuRuizhe RenJingbao ZhangDan GuoClifford Silver TarimoWenyong DongRongmei LiuQiuping ZhaoJianping HuMiaojun LiWei Wei
Published in: Human vaccines & immunotherapeutics (2024)
During the COVID-19 pandemic, the vaccine hesitancy has significantly affected the vaccination. To evaluate the booster vaccine hesitancy and its influencing factors among urban and rural residents, as well as to estimate the net difference of booster vaccine hesitancy between urban and rural residents. We conducted a nationwide, cross-sectional Internet survey on 1-8 February 2023, and employed stratified random sampling technique to select participants (≥18 years old) from urban and rural areas. Multivariate logistic regression was used to determine the factors impacting booster vaccine hesitancy. Propensity Score Matching was used to estimate the net difference of COVID-19 booster vaccine hesitancy between urban and rural residents. The overall COVID-19 booster vaccine hesitancy rate of residents was 28.43%. The COVID-19 booster vaccine hesitancy rate among urban residents was found to be 34.70%, among rural residents was 20.25%. Chronic diseases, infection status, vaccination benefits, and trust in vaccine developers were associated with booster vaccine hesitancy among urban residents. Barriers of vaccination were associated with booster vaccine hesitancy among rural residents. PSM analysis showed that the urban residents have a higher booster vaccine hesitancy rate than rural residents, with a net difference of 6.20%. The vaccine hesitancy rate increased significantly, and the urban residents have a higher COVID-19 booster vaccine hesitancy than rural residents. It becomes crucial to enhance the dissemination of information regarding the advantages of vaccination and foster greater trust among urban residents toward the healthcare system.
Keyphrases
  • coronavirus disease
  • south africa
  • sars cov
  • cross sectional
  • healthcare
  • social media
  • respiratory syndrome coronavirus