Coverage and predictors of COVID-19 vaccination in rural districts of Pakistan

Author:

Shaikh Shiraz,Maheshwari Greesh,Samoo Allah Nawaz,Soomro Ghulam Mustafa,Mazharullah Lubna

Abstract

Background: One of the keys to preventing a re-emergence of the COVID-19 pandemic is the attainment and maintenance of high vaccination coverage in urban and rural areas. Aims: To estimate the coverage of COVID-19 vaccination in a rural population and identify the determinants of vaccination. Methodology: A cross-sectional survey was conducted in April 2023 in 5 rural districts of Sindh Province, Pakistan. From each district, 30 clusters (villages) were randomly selected, and 7 households were randomly sampled from each cluster using the 30/7 technique. Household members above 12 years of age were included. Vaccination status was categorized as non-vaccinated, partially vaccinated (either with 1 dose or without booster) and completely vaccinated (2 doses with 1 booster). Adjusted odds ratios with 95% confidence intervals using multinomial logistic regression were computed to determine the factors associated with partial and complete vaccination. Data was analysed using SPSS version 20. Results: Among the 3545 individuals surveyed across 1050 households, 25.9% were not vaccinated, 55.0% were partially vaccinated, and 19.1% were fully vaccinated. Younger age, lack of formal education and residing in flood-affected districts were significantly negatively associated with being vaccinated, while living at > km from a vaccination facility was significantly positively associated with partial and complete vaccination. Residents of Dadu (OR=0.03, 95% CI=0.01–0.04), Jamshoro (OR=0.05, 95% CI=0.03–0.08), Hyderabad (OR=0.03, 95% CI=0.02–0.05), and Tando Allahyar (OR=0.09,95% CI=0.05–0.15) districts were significantly less likely to be completely vaccinated than those in Tharparkar. The most common reasons for not being vaccinated were, the perception that COVID-19 is mild (34.5%), fear of side-effects (22.7%), unavailability of the vaccine (19.8%), and fear of acquiring COVID-19 infection through the vaccine (15.8%). Conclusion: Vaccination coverage was low in some of the districts, particularly the flood-affected districts, mainly due to certain myths. There is a need for community outreaches to debunk myths about COVID-19 vaccination among these rural populations.

Publisher

World Health Organization Regional Office for the Eastern Mediterranean (WHO/EMRO)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3