ReviewEvolution, medicine, and public health2020
How evolutionary behavioural sciences can help us understand behaviour in a pandemic.
Review in Evolution, medicine, and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed.
- Traditionalism mediates social learning: Biases in acceptance of novel health interventions among Himba pastoralists.Evolution, medicine, and public health · 2026Article
- Context dependent preferences in prestige bias learning about vaccination in rural Namibian pastoralists.Social science & medicine (1982) · 2024Article
- Building public trust in preparation for future health shocks: a research agenda.BMJ (Clinical research ed.) · 2024Article
- Role of leadership and incentive-based programs in addressing vaccine hesitancy in India.Vaccine: X · 2023Article
- How evolutionary science can help us understand vaccine refusal in the COVID-19 pandemic.BJPsych bulletin · 2023Review
- Effective incentives for increasing COVID-19 vaccine uptake.Psychological medicine · 2023Article
- Gendered conflict in the human family.Evolutionary human sciences · 2023Review
- Introducing the Neuroplastic Narrative: a non-pathologizing biological foundation for trauma-informed and adverse childhood experience aware approaches.Frontiers in psychiatry · 2023Article
- The future of evolutionary medicine: sparking innovation in biomedicine and public health.Frontiers in science · 2023Article
- COVID-19 andEvolution, medicine, and public health · 2023Article
- Does higher perceived risk of morbidity and mortality decrease risk-taking?Royal Society open science · 2022Article
- The Future of Infodemic Surveillance as Public Health Surveillance.Emerging infectious diseases · 2022Review
- The evolution of the human healthcare system and implications for understanding our responses to COVID-19.Evolution, medicine, and public health · 2022Review
- Article
- Does social influence affect COVID-19 vaccination intention among the unvaccinated?Evolutionary human sciences · 2022Article
- Spatial and Social Behavior of Single and Coupled Individuals of Both Sexes during COVID-19 Lockdown Regime in Russia.International journal of environmental research and public health · 2021Article
- Pandemic Leadership: Sex Differences and Their Evolutionary-Developmental Origins.Frontiers in psychology · 2021Review
- The Effect of the COVID-19 on Corrosive Ingestion in Thailand.Open access emergency medicine : OAEM · 2021Article
- Communication Across Maternal Social Networks During England's First National Lockdown and Its Association With Postnatal Depressive Symptoms.Frontiers in psychology · 2021Article
- Adaptive function and correlates of anxiety during a pandemic.Evolution, medicine, and public health · 2021Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has brought science into the public eye and to the attention of governments more than ever before. Much of this attention is on work in epidemiology, virology and public health, with most behavioural advice in public health focusing squarely on 'proximate' determinants of behaviour. While epidemiological models are powerful tools to predict the spread of disease when human behaviour is stable, most do not incorporate behavioural change. The evolutionary basis of our preferences and the cultural evolutionary dynamics of our beliefs drive behavioural change, so understanding these evolutionary processes can help inform individual and government decision-making in the face of a pandemic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.