余永逸

Yu, Wing-Yat Eilo

余永逸,博士,畢業於香港大學,曾為澳門大學政府與行政學系副教授兼公共行政(學士)課程主任,專門研究澳門、香港特區和台灣地區的政治發展,特別專注於選舉與政黨發展的研究。

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澳門居民遵從新型冠狀病毒預防措施的概況

唐國傑; 何牧; 陳泓鐳; 余永逸; 胡文詩

Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample

Tong, Kwok Kit; Chen, Honglei Juliet; Yu, Wing-Yat Eilo; Wu, M. S. Anise

Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample

Tong, Kwok Kit; Chen, Honglei Juliet; Yu, Wing-Yat Eilo; Wu, M. S. Anise

Background: In the face of the global pandemic of coronavirus disease-2019 (COVID-19), people’s adherence to precautionary behavioral measures (e.g. social distancing) largely influences the effectiveness of those measures in containing the spread of the coronavirus. The present study aims at testing the applicability of the health belief model (HBM) and generalised social beliefs (i.e. social axioms) to explore strategies for promoting adherence to COVID-19 precautionary measures.

Methods: We conducted a telephone survey with a two-step stratified random sampling method and obtained a probability sample of 616 adults in Macao, China (18–87 years old; 60.9% women) in April 2020.

Results: Our participants showed stronger adherence to some COVID-19 precautionary measures (e.g. face mask wearing; 96.4%) but not others (e.g. social distancing; 42.3%). Their adherence to those measures was found to be significantly associated with four HBM factors and two social axioms, after controlling for gender, age, and years of education.

Conclusions: The HBM and the generalised social beliefs of social cynicism and reward for application can be applied to understanding adherence to precautionary measures against COVID-19. Strategies based on beliefs were proposed to facilitate the promotion of precautionary measures.

Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample

Tong, Kwok Kit; Chen, Honglei Juliet; Yu, Wing-Yat Eilo; Wu, M. S. Anise

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