Mark J. Rzeszutek, Anthony DeFulio, Hayley D. Brown, Cristal Cardoso São Mateus
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引用次数: 0
Abstract
The COVID-19 pandemic provided an opportunity to investigate factors related to public response to public health measures, which could help better prepare implementation of similar measures for inevitable future pandemics. To understand individual and environmental factors that influence likelihood in engaging in personal and public health measures, three crowdsourced convenience samples from Amazon Mechanical Turk (MTurk) completed likelihood-discounting tasks of engaging in health behaviors given a variety of hypothetical viral outbreak scenarios. Experiment 1 assessed likelihood of mask wearing for a novel virus. Experiment 2 assessed vaccination likelihood based on efficacy and cost. Experiment 3 assessed likelihood of seeking health care based on number of symptoms and cost of treatment. Volume-based measures and three-dimensional modeling were used to analyze hypothetical decision making. Hypothetical public and personal health participation increased as viral fatality increased and generally followed a hyperbolic function. Public health participation was moderated by political orientation and trust in science, whereas treatment-seeking was only moderated by income. Analytic methods used in this cross-sectional study predicted population-level outcomes that occurred later in the pandemic and can be extended to various health behaviors.
2019冠状病毒病大流行为调查公众对公共卫生措施的反应相关因素提供了机会,这有助于更好地为未来不可避免的大流行实施类似措施做好准备。为了了解影响个人和公共卫生措施可能性的个人和环境因素,来自Amazon Mechanical Turk (MTurk)的三个众包便利样本完成了在各种假设的病毒爆发场景下参与健康行为的可能性折扣任务。实验1评估戴口罩防范新型病毒的可能性。实验2根据有效性和成本评估疫苗接种的可能性。实验3根据症状数量和治疗费用评估寻求医疗保健的可能性。采用基于体积的测量和三维建模来分析假设决策。假设公众和个人健康参与随着病毒致死率的增加而增加,并且通常遵循双曲线函数。公共卫生参与受到政治取向和对科学的信任的影响,而寻求治疗只受到收入的影响。本横断面研究中使用的分析方法预测了大流行后期发生的人群水平结果,并可扩展到各种健康行为。
期刊介绍:
Journal of the Experimental Analysis of Behavior is primarily for the original publication of experiments relevant to the behavior of individual organisms.