ArticleEvolutionary human sciences2021
Coupled dynamics of behaviour and disease contagion among antagonistic groups.
Article in Evolutionary human sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 40 citations in OpenAlex.
- Partisan differences in health behaviors can impact respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026Article
- Traditionalism mediates social learning: Biases in acceptance of novel health interventions among Himba pastoralists.Evolution, medicine, and public health · 2026Article
- Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness.Royal Society open science · 2025Article
- Information architectures: a framework for understanding socio-technical systems.Npj complexity · 2025Article
- The evolution of similarity-biased social learning.Evolutionary human sciences · 2025Article
- Political and educational dynamics behind the Evangelicals' stance against mask mandates during COVID-19 in the U.S.Social science research · 2025Article
- Paradoxes in the coevolution of contagions and institutions.Proceedings. Biological sciences · 2024Article
- Noise and opinion dynamics: how ambiguity promotes pro-majority consensus in the presence of confirmation bias.Royal Society open science · 2024Article
- Green preferences sustain greenwashing: challenges in the cultural transition to a sustainable future.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Social identity bias and communication network clustering interact to shape patterns of opinion dynamics.Journal of the Royal Society, Interface · 2023Article
- Age-differentiated incentives for adaptive behavior during epidemics produce oscillatory and chaotic dynamics.PLoS computational biology · 2023Article
- The impact of threshold decision mechanisms of collective behavior on disease spread.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Automatic case cluster detection using hospital electronic health record data.Biology methods & protocols · 2023Article
- The future of evolutionary medicine: sparking innovation in biomedicine and public health.Frontiers in science · 2023Article
- Internal and external factors affecting vaccination coverage: Modeling the interactions between vaccine hesitancy, accessibility, and mandates.PLOS global public health · 2023Article
- Social divisions and risk perception drive divergent epidemics and large later waves.Evolutionary human sciences · 2023Article
- Comparison of the 2021 COVID-19 roadmap projections against public health data in England.Nature communications · 2022Article
- Dynamics of behavior change in the COVID world.American journal of human biology : the official journal of the Human Biology Council · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disease transmission and behaviour change are both fundamentally social phenomena. Behaviour change can have profound consequences for disease transmission, and epidemic conditions can favour the more rapid adoption of behavioural innovations. We analyse a simple model of coupled behaviour change and infection in a structured population characterised by homophily and outgroup aversion. Outgroup aversion slows the rate of adoption and can lead to lower rates of adoption in the later-adopting group or even behavioural divergence between groups when outgroup aversion exceeds positive ingroup influence. When disease dynamics are coupled to the behaviour-adoption model, a wide variety of outcomes are possible. Homophily can either increase or decrease the final size of the epidemic depending on its relative strength in the two groups and on
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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.