{"title":"比较英国、德国、奥地利和约旦对 COVID-19 强化疫苗的接受程度:保护动机理论、阴谋论信仰、社交媒体使用和宗教信仰的作用。","authors":"Judith Eberhardt, Walid Al-Qerem, Jonathan Ling","doi":"10.1016/j.vaccine.2024.126474","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Coronavirus Disease 2019 (COVID-19) booster vaccine uptake has been lower than that of the initial vaccine doses in many countries. Approaches to vaccination vary, with some countries implementing mandatory vaccination and others not. This study aimed to predict COVID-19 booster vaccination intention using Protection Motivation Theory (PMT), coronavirus conspiracy beliefs, social media use, and sociodemographic factors, comparing the United Kingdom (UK), Jordan, Germany, and Austria.</p><p><strong>Methods: </strong>A cross-sectional online survey was conducted in the UK, Germany, Austria, and Jordan. Convenience sampling was used to recruit 287 fully vaccinated participants. The survey included items measuring PMT constructs, conspiracy beliefs, social media use, and sociodemographic variables. Data were analysed using bivariate analysis and binary logistic regression.</p><p><strong>Results: </strong>Participants with high booster dose intention showed lower religiosity, conspiracy beliefs, perceived rewards of not getting vaccinated, and perceived costs of getting vaccinated. They had higher Twitter use, perceived susceptibility, severity of COVID-19, self-efficacy, and vaccine efficacy. Four PMT constructs (severity, self-efficacy, maladaptive response rewards, and response efficacy) significantly predicted booster dose intention.</p><p><strong>Conclusions: </strong>While PMT constructs predict booster vaccination intention, additional factors such as conspiracy beliefs, social media use, and religiosity need to be taken into account in public health campaigns to increase COVID-19 booster dose uptake.</p>","PeriodicalId":94264,"journal":{"name":"Vaccine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing COVID-19 booster vaccine acceptance in the United Kingdom, Germany, Austria, and Jordan: The role of protection motivation theory, conspiracy beliefs, social media use and religiosity.\",\"authors\":\"Judith Eberhardt, Walid Al-Qerem, Jonathan Ling\",\"doi\":\"10.1016/j.vaccine.2024.126474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Coronavirus Disease 2019 (COVID-19) booster vaccine uptake has been lower than that of the initial vaccine doses in many countries. Approaches to vaccination vary, with some countries implementing mandatory vaccination and others not. This study aimed to predict COVID-19 booster vaccination intention using Protection Motivation Theory (PMT), coronavirus conspiracy beliefs, social media use, and sociodemographic factors, comparing the United Kingdom (UK), Jordan, Germany, and Austria.</p><p><strong>Methods: </strong>A cross-sectional online survey was conducted in the UK, Germany, Austria, and Jordan. Convenience sampling was used to recruit 287 fully vaccinated participants. The survey included items measuring PMT constructs, conspiracy beliefs, social media use, and sociodemographic variables. Data were analysed using bivariate analysis and binary logistic regression.</p><p><strong>Results: </strong>Participants with high booster dose intention showed lower religiosity, conspiracy beliefs, perceived rewards of not getting vaccinated, and perceived costs of getting vaccinated. They had higher Twitter use, perceived susceptibility, severity of COVID-19, self-efficacy, and vaccine efficacy. Four PMT constructs (severity, self-efficacy, maladaptive response rewards, and response efficacy) significantly predicted booster dose intention.</p><p><strong>Conclusions: </strong>While PMT constructs predict booster vaccination intention, additional factors such as conspiracy beliefs, social media use, and religiosity need to be taken into account in public health campaigns to increase COVID-19 booster dose uptake.</p>\",\"PeriodicalId\":94264,\"journal\":{\"name\":\"Vaccine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vaccine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.vaccine.2024.126474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vaccine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.vaccine.2024.126474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing COVID-19 booster vaccine acceptance in the United Kingdom, Germany, Austria, and Jordan: The role of protection motivation theory, conspiracy beliefs, social media use and religiosity.
Background: Coronavirus Disease 2019 (COVID-19) booster vaccine uptake has been lower than that of the initial vaccine doses in many countries. Approaches to vaccination vary, with some countries implementing mandatory vaccination and others not. This study aimed to predict COVID-19 booster vaccination intention using Protection Motivation Theory (PMT), coronavirus conspiracy beliefs, social media use, and sociodemographic factors, comparing the United Kingdom (UK), Jordan, Germany, and Austria.
Methods: A cross-sectional online survey was conducted in the UK, Germany, Austria, and Jordan. Convenience sampling was used to recruit 287 fully vaccinated participants. The survey included items measuring PMT constructs, conspiracy beliefs, social media use, and sociodemographic variables. Data were analysed using bivariate analysis and binary logistic regression.
Results: Participants with high booster dose intention showed lower religiosity, conspiracy beliefs, perceived rewards of not getting vaccinated, and perceived costs of getting vaccinated. They had higher Twitter use, perceived susceptibility, severity of COVID-19, self-efficacy, and vaccine efficacy. Four PMT constructs (severity, self-efficacy, maladaptive response rewards, and response efficacy) significantly predicted booster dose intention.
Conclusions: While PMT constructs predict booster vaccination intention, additional factors such as conspiracy beliefs, social media use, and religiosity need to be taken into account in public health campaigns to increase COVID-19 booster dose uptake.