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印度的疫苗犹豫:促进因素和阻碍因素。

Vaccine Hesitancy in India: Facilitators and Inhibitors.

机构信息

Department of Psychology, Aligarh Muslim University, Aligarh, India.

Amity Institute of Clinical Psychology, Amity University, Rajasthan Jaipur, India.

出版信息

Health Educ Behav. 2023 Dec;50(6):822-834. doi: 10.1177/10901981231179503. Epub 2023 Jul 4.

Abstract

COVID-19 is yet not completely over; however, many people are hesitant to take COVID-19 vaccines despite their availability. Vaccine hesitancy is a major roadblock to attaining normalcy and controlling the spread of the COVID-19 virus. The present research used a multitheoretical framework (Health Belief Model, 3Cs framework, fatalism, and religious fatalism) to comprehend the complexity of vaccine hesitancy. Thus, the present study aimed at exploring vaccine hesitancy in India by using key components of the Health Belief Model, 3Cs framework, fatalism, religious fatalism, and some demographics as predictors. Data were collected electronically with the help of Google Forms from 639 Indian adults following snowballing and convenience sampling techniques with standardized measures (albeit some modifications to suit the context of the study). Descriptive analysis and hierarchical regression analysis were run in SPSS (V-22) to analyze the data. Results revealed that participants of the present study scored relatively high on vaccine hesitancy. Muslims as compared with Hindus and vaccination status emerged as significant predictors of vaccine hesitancy out of the demographic factors. Fear of COVID-19, vaccine convenience, and religious fatalism also significantly predicted vaccine hesitancy. Thus, a comprehensive approach is needed to strategically use these predictors to control vaccine hesitancy.

摘要

COVID-19 尚未完全结束;然而,尽管疫苗已经可用,但许多人对接种 COVID-19 疫苗仍犹豫不决。疫苗犹豫是实现正常化和控制 COVID-19 病毒传播的主要障碍。本研究使用多理论框架(健康信念模型、3Cs 框架、宿命论和宗教宿命论)来理解疫苗犹豫的复杂性。因此,本研究旨在通过使用健康信念模型、3Cs 框架、宿命论、宗教宿命论的关键组成部分以及一些人口统计学因素作为预测因素,来探索印度的疫苗犹豫情况。数据是通过谷歌表格在电子方式收集的,采用了滚雪球和便利抽样技术,并使用标准化的措施(尽管对一些措施进行了修改以适应研究的背景)。在 SPSS(V-22)中进行了描述性分析和层次回归分析来分析数据。结果表明,本研究的参与者在疫苗犹豫方面的得分相对较高。与印度教徒相比,穆斯林和疫苗接种状况是人口统计学因素中疫苗犹豫的显著预测因素。对 COVID-19 的恐惧、疫苗便利性和宗教宿命论也显著预测了疫苗犹豫。因此,需要采取综合方法,有策略地使用这些预测因素来控制疫苗犹豫。

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