ArticlePloS one2011
Towards a characterization of behavior-disease models.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.
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Who cites it
94 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Behavioural change models for infectious disease transmission: a systematic review (2010-2015).Journal of the Royal Society, Interface · 2016Pooled it
- The paradox of neglecting changes in behavior: How standard epidemic models misestimate both transmissibility and final epidemic size.PLoS computational biology · 2026Article
- Opinion-driven vaccination and epidemic dynamics on heterogeneous networks.Scientific reports · 2026Article
- App-based epidemic game in a university campus reveals how risk perception and behavioral interventions shape disease transmission dynamics.Scientific reports · 2026Article
- Estimating the effect of self-protection on transmission dynamics of SARS-CoV-2 in Germany in 2021: a modelling study.BMC public health · 2026Article
- Uncertainty and inconsistency of COVID-19 non-pharmaceutical intervention effects with multiple competitive statistical models.Scientific reports · 2026Article
- Impact of opinion dynamics on recurrent pandemic waves: balancing risk aversion and peer pressure.Interface focus · 2025Article
- Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data.Nature communications · 2025Article
- The complex interplay between risk tolerance and the spread of infectious diseases.Journal of the Royal Society, Interface · 2025Article
- Modeling and analysis of infectious diseases based on behavioral game theory on two-layered networks under media coverage.PloS one · 2025Article
- Mathematical Assessment of the Role of Human Behavior Changes on SARS-CoV-2 Transmission Dynamics in the United States.Bulletin of mathematical biology · 2024Article
- Incorporating endogenous human behavior in models of COVID-19 transmission: A systematic scoping review.Dialogues in health · 2024Article
- Parameter estimation in behavioral epidemic models with endogenous societal risk-response.PLoS computational biology · 2024Article
- The unequal effects of the health-economy trade-off during the COVID-19 pandemic.Nature human behaviour · 2024Article
- Effects of behavioral observability and social proof on the coupled epidemic-awareness dynamics in multiplex networks.PloS one · 2024Article
- Bayesian modeling of dynamic behavioral change during an epidemic.Infectious Disease Modelling · 2023Article
- Leveraging an epidemic-economic mathematical model to assess human responses to COVID-19 policies and disease progression.Scientific reports · 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
- Cascades in capacity constrained agents.PloS one · 2023Article
34 more citing papers are in PubMed but not listed here.
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4 authors.
Funding
Abstract
The last decade saw the advent of increasingly realistic epidemic models that leverage on the availability of highly detailed census and human mobility data. Data-driven models aim at a granularity down to the level of households or single individuals. However, relatively little systematic work has been done to provide coupled behavior-disease models able to close the feedback loop between behavioral changes triggered in the population by an individual's perception of the disease spread and the actual disease spread itself. While models lacking this coupling can be extremely successful in mild epidemics, they obviously will be of limited use in situations where social disruption or behavioral alterations are induced in the population by knowledge of the disease. Here we propose a characterization of a set of prototypical mechanisms for self-initiated social distancing induced by local and non-local prevalence-based information available to individuals in the population. We characterize the effects of these mechanisms in the framework of a compartmental scheme that enlarges the basic SIR model by considering separate behavioral classes within the population. The transition of individuals in/out of behavioral classes is coupled with the spreading of the disease and provides a rich phase space with multiple epidemic peaks and tipping points. The class of models presented here can be used in the case of data-driven computational approaches to analyze scenarios of social adaptation and behavioral change.
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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.