揭示美国人接种 COVID-19 疫苗的决策策略。

IF 2 4区 数学 Q2 BIOLOGY
Azadeh Aghaeeyan, Pouria Ramazi, Mark A Lewis
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引用次数: 0

摘要

要有效覆盖新开发的疫苗,就必须知道哪些群体会立即接受疫苗,哪些群体需要更长时间才能接受或永远不会接受。在最终可能接受疫苗的人群中,主要有两类:一类是成功学习者,他们的决定以他人的满意度为基础;另一类是近视理性主义者,他们只关注自己眼前的利益。我们利用 COVID-19 疫苗接种数据拟合了一个机理模型,以捕捉两种类型对疫苗接种进展的不同影响。我们证明了每种类型的人口比例的可识别性,并估计有 47% 的美国人表现为近视理性主义者,不同地区的差异很大,从密西西比州的 31% 到佛蒙特州的 76%。该比例与疫苗接种覆盖率、2020 年总统大选中支持民主党的选票比例和教育得分相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Revealing Decision-Making Strategies of Americans in Taking COVID-19 Vaccination.

Revealing Decision-Making Strategies of Americans in Taking COVID-19 Vaccination.

Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accept. Of those who may eventually accept the vaccine, there are two main types: success-based learners, basing their decisions on others' satisfaction, and myopic rationalists, attending to their own immediate perceived benefit. We used COVID-19 vaccination data to fit a mechanistic model capturing the distinct effects of the two types on the vaccination progress. We proved the identifiability of the population proportions of each type and estimated that 47 % of Americans behaved as myopic rationalists with a high variation across the jurisdictions, from 31 % in Mississippi to 76 % in Vermont. The proportion was correlated with the vaccination coverage, proportion of votes in favor of Democrats in 2020 presidential election, and education score.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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