Login / Signup

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

Hui Jing LuYuan Yuan LiuJiaqing OShaolingyun GuoNan ZhuBin Bin ChenJennifer E LansfordLei Chang
Published in: Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior (2021)
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.
Keyphrases
  • coronavirus disease
  • sars cov
  • infectious diseases
  • risk factors
  • gene expression
  • genome wide
  • big data
  • artificial intelligence
  • data analysis