COVID-19 vaccine hesitancy among undergraduate students in Thailand during the peak of the third wave of the coronavirus pandemic in 2021

Q3 Mathematics

Epidemiologic Methods Pub Date : 2022-02-01 DOI:10.1515/em-2022-0109

Sulan Lin, C. Rattanapan, A. Mongkolchati, M. N. Aung, W. Ounsaneha, N. Sritoomma, O. Laosee

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引用次数: 1

Abstract

Abstract Objectives To determine the point prevalence of undergraduate students who are hesitant to accept COVID-19 vaccination and to identify the predictors of COVID-19 vaccine hesitancy in university students. Methods A cross-sectional study was conducted during June–July 2021. A total of 542 undergraduate students from universities in three central provinces of Thailand participated in an online survey via Google Form. We used a transculturally translated, Thai version of the Oxford Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS II). Results There were 217 undergraduate students (40%) who were hesitant to receive the COVID-19 vaccine and the significant predictors for this hesitancy were: being students in Year 2 and higher (AOR: 2.73; 95% CI: 1.55–4.84); having negative beliefs toward the COVID-19 vaccine (AOR: 10.99; 95% CI: 6.82–17.73); and having a perceived positive general vaccine conspiracy belief (AOR: 1.90; 95% CI: 1.02–3.52). Conclusions It is important to minimize vaccine hesitancy among Thai undergraduate students with a negative perception of vaccines by clarifying false information.

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在2021年第三波冠状病毒大流行高峰期间，泰国大学生对COVID-19疫苗的犹豫

摘要目的了解大学生新冠肺炎疫苗接种犹豫点患病率，探讨大学生新冠肺炎疫苗接种犹豫的预测因素。方法于2021年6 - 7月进行横断面研究。来自泰国中部三个省份的542名大学生通过谷歌表格参与了一项在线调查。我们使用了跨文化翻译的泰国版牛津冠状病毒解释、态度和叙述调查(OCEANS II)。结果有217名(40%)本科生对是否接种COVID-19疫苗犹豫不决，这种犹豫不决的显著预测因素是:二年级及以上学生(AOR: 2.73;95% ci: 1.55-4.84);对新冠肺炎疫苗持负面看法(AOR: 10.99;95% ci: 6.82-17.73);普遍认为疫苗阴谋论是积极的(AOR: 1.90;95% ci: 1.02-3.52)。结论通过澄清虚假信息，减少对疫苗有负面认知的泰国大学生的疫苗犹豫是很重要的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Epidemiologic Methods Mathematics-Applied Mathematics

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis