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Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303449/ https://www.ncbi.nlm.nih.gov/pubmed/33752457 http://dx.doi.org/10.1177/14747049211000714 |
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author | Lu, Hui Jing Liu, Yuan Yuan O, Jiaqing Guo, Shaolingyun Zhu, Nan Chen, Bin Bin Lansford, Jennifer E. Chang, Lei |
author_facet | Lu, Hui Jing Liu, Yuan Yuan O, Jiaqing Guo, Shaolingyun Zhu, Nan Chen, Bin Bin Lansford, Jennifer E. Chang, Lei |
author_sort | Lu, Hui Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10303449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103034492023-08-17 Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic Lu, Hui Jing Liu, Yuan Yuan O, Jiaqing Guo, Shaolingyun Zhu, Nan Chen, Bin Bin Lansford, Jennifer E. Chang, Lei Evol Psychol Original Research Article 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. SAGE Publications 2021-03-23 /pmc/articles/PMC10303449/ /pubmed/33752457 http://dx.doi.org/10.1177/14747049211000714 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Lu, Hui Jing Liu, Yuan Yuan O, Jiaqing Guo, Shaolingyun Zhu, Nan Chen, Bin Bin Lansford, Jennifer E. Chang, Lei Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic |
title | Disease History and Life History Predict Behavioral Control of the COVID-19
Pandemic |
title_full | Disease History and Life History Predict Behavioral Control of the COVID-19
Pandemic |
title_fullStr | Disease History and Life History Predict Behavioral Control of the COVID-19
Pandemic |
title_full_unstemmed | Disease History and Life History Predict Behavioral Control of the COVID-19
Pandemic |
title_short | Disease History and Life History Predict Behavioral Control of the COVID-19
Pandemic |
title_sort | disease history and life history predict behavioral control of the covid-19
pandemic |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303449/ https://www.ncbi.nlm.nih.gov/pubmed/33752457 http://dx.doi.org/10.1177/14747049211000714 |
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