Exploring the Impact of Socio-Demographic, Health, and Political Factors on COVID-19 Vaccination Attitudes

MD. Ekramul Islam Novel, ✉. M. Sarkar, Aisharyja Roy Puja
{"title":"Exploring the Impact of Socio-Demographic, Health, and Political Factors on COVID-19 Vaccination Attitudes","authors":"MD. Ekramul Islam Novel, ✉. M. Sarkar, Aisharyja Roy Puja","doi":"10.32996/jmhs.2024.5.1.8","DOIUrl":null,"url":null,"abstract":"This study examines the influence of socio-demographic, health, and political factors on attitudes towards COVID-19 vaccination during 2021-2022. Utilizing data from the General Social Survey (GSS), the research explores the relationships between COVID-19 vaccination status and variables such as confidence in medicine, political views, general health condition, income, education level, and marital status. The analysis employs logistic regression models and Chi-Square tests to assess these relationships. Key findings indicate that higher income and education levels, as well as more liberal political views, are positively associated with vaccination uptake. In contrast, marital status presents a more complex picture, suggesting further exploration is needed. The study highlights the multifaceted nature of vaccination decisions and underscores the importance of tailored public health strategies that address the specific needs and concerns of different demographic groups. The research also acknowledges challenges and limitations, including issues related to causality, confounding factors, data quality, generalizability, response bias, and multicollinearity. Overall, the study contributes valuable insights for policymakers and public health practitioners aiming to enhance vaccination campaigns and policies.","PeriodicalId":509795,"journal":{"name":"Journal of Medical and Health Studies","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical and Health Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32996/jmhs.2024.5.1.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study examines the influence of socio-demographic, health, and political factors on attitudes towards COVID-19 vaccination during 2021-2022. Utilizing data from the General Social Survey (GSS), the research explores the relationships between COVID-19 vaccination status and variables such as confidence in medicine, political views, general health condition, income, education level, and marital status. The analysis employs logistic regression models and Chi-Square tests to assess these relationships. Key findings indicate that higher income and education levels, as well as more liberal political views, are positively associated with vaccination uptake. In contrast, marital status presents a more complex picture, suggesting further exploration is needed. The study highlights the multifaceted nature of vaccination decisions and underscores the importance of tailored public health strategies that address the specific needs and concerns of different demographic groups. The research also acknowledges challenges and limitations, including issues related to causality, confounding factors, data quality, generalizability, response bias, and multicollinearity. Overall, the study contributes valuable insights for policymakers and public health practitioners aiming to enhance vaccination campaigns and policies.
探索社会人口、健康和政治因素对 COVID-19 疫苗接种态度的影响
本研究探讨了社会人口、健康和政治因素对 2021-2022 年期间 COVID-19 疫苗接种态度的影响。研究利用一般社会调查(GSS)的数据,探讨了 COVID-19 疫苗接种状况与医学信心、政治观点、总体健康状况、收入、教育水平和婚姻状况等变量之间的关系。分析采用逻辑回归模型和 Chi-Square 检验来评估这些关系。主要研究结果表明,较高的收入和教育水平以及较自由的政治观点与疫苗接种率呈正相关。相比之下,婚姻状况则呈现出更为复杂的情况,表明还需要进一步探讨。这项研究强调了疫苗接种决定的多面性,并强调了针对不同人口群体的具体需求和关注点制定有针对性的公共卫生策略的重要性。研究也承认存在挑战和局限性,包括与因果关系、混杂因素、数据质量、普遍性、反应偏差和多重共线性有关的问题。总之,这项研究为旨在加强疫苗接种活动和政策的政策制定者和公共卫生从业人员提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信