Shiraz Shaikh, G. Maheshwari, A. N. Samoo, Ghulam Mustafa Soomro, Lubna Mazharullah
{"title":"巴基斯坦农村地区 COVID-19 疫苗接种覆盖率和预测因素","authors":"Shiraz Shaikh, G. Maheshwari, A. N. Samoo, Ghulam Mustafa Soomro, Lubna Mazharullah","doi":"10.26719/2024.30.4.264","DOIUrl":null,"url":null,"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.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coverage and predictors of COVID-19 vaccination in rural districts of Pakistan\",\"authors\":\"Shiraz Shaikh, G. Maheshwari, A. N. Samoo, Ghulam Mustafa Soomro, Lubna Mazharullah\",\"doi\":\"10.26719/2024.30.4.264\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.26719/2024.30.4.264\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.26719/2024.30.4.264","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Coverage and predictors of COVID-19 vaccination in rural districts of Pakistan
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.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.