Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic

Authors Organisations
  • Hui Jing Lu(Author)
    Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
  • Yuan Yuan Liu(Author)
    Department of Psychology, University of Macau, Taipa, Macau
  • Jiaqing O(Author)
  • Shaolingyun Guo(Author)
    Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
  • Nan Zhu(Author)
    Department of Psychology, University of Macau, Taipa, Macau
  • Bin Bin Chen(Author)
    Department of Psychology, Fudan University, Shanghai, China
  • Jennifer E. Lansford(Author)
    Department of Psychology, Sanford School of Public Policy, Duke University, Durham, NC, USA
  • Lei Chang(Author)
    Department of Psychology, University of Macau, Taipa, Macau
Type Article
Original languageEnglish
Number of pages9
JournalEvolutionary Psychology
Volume19
Issue number1
DOI
Publication statusPublished - 23 Mar 2021
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Abstract

It is puzzling why countries do not all implement stringent behavioral control measures to prevent the spread of COVID-19 even though preventive behaviors have been proven to be the only effective means to stop the pandemic. We provide a novel evolutionary life history explanation whereby pathogenic and parasitic prevalence represents intrinsic rather than extrinsic mortality risk that drives slower life history strategies and the related disease control motivation in all animals but especially humans. Our theory was tested and supported based on publicly available data involving over 150 countries. Countries having a higher historical prevalence of infectious diseases are found to adopt slower life history strategies that are related to prompter COVID-19 containment actions by the government and greater compliance by the population. Findings could afford governments novel insight into the design of more effective COVID-19 strategies that are based on enhancing a sense of control, vigilance, and compliance in the general population.

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