ReviewJournal of the Royal Society, Interface2010
Modelling the influence of human behaviour on the spread of infectious diseases: a review.
Review in Journal of the Royal Society, Interface, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 432 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
432 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A scoping review of COVID-19 modelling studies in Belgium 2020-2024: incorporation of behaviour and lessons learned.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Prevalence of Health Misinformation on Social Media: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Determinants of Infodemics During Disease Outbreaks: A Systematic Review.Frontiers in public health · 2021Pooled it
- Research Participation Influences Willingness to Reduce Zoonotic Exposure in Uganda.EcoHealth · 2022Trial
- The syndemic nexus: How vaccine hesitancy and COVID-19 interact to influence vaccine uptake among university students.Human vaccines & immunotherapeutics · 2026Article
- Characteristics of COVID-19 vaccine hesitancy in university students: Methodological insights from a syndemic perspective.Human vaccines & immunotherapeutics · 2026Article
- Memory mechanisms for behavioural change in Bayesian individual-level spatial epidemic models.Infectious Disease Modelling · 2026Article
- The Impact of the COVID-19 Pandemic in Greece, 2020-January 2023: An Analysis Based on National Digital COVID-19 and Vaccination Registries.Epidemiologia (Basel, Switzerland) · 2026Article
- Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections.Statistics in medicine · 2026Article
- Population-level behavioral and structural drivers of COVID-19 vaccine uptake in the US.PLoS computational biology · 2026Article
- Opinion-driven vaccination and epidemic dynamics on heterogeneous networks.Scientific reports · 2026Article
- Estimating modern US social contact patterns, the ENGAGED study: a study protocol for a staggered longitudinal cohort study.BMJ open · 2026Article
- Heterogeneous estimations of non-pharmaceutical mitigation behavior during the COVID-19 pandemic.Scientific data · 2026Article
- Modeling individual self-protective behavior during epidemics.PLoS computational biology · 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
- Faster Uptake, Slower Let-Down: Asymmetric Community Responses to Changing Risks During a Pandemic.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast?PLoS computational biology · 2026Article
- Household and community-based approaches to malaria and cholera prevention: A narrative review with case studies from Uganda and Mozambique.PLoS neglected tropical diseases · 2026Review
- The theory of epidemics with altruism.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
372 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Human behaviour plays an important role in the spread of infectious diseases, and understanding the influence of behaviour on the spread of diseases can be key to improving control efforts. While behavioural responses to the spread of a disease have often been reported anecdotally, there has been relatively little systematic investigation into how behavioural changes can affect disease dynamics. Mathematical models for the spread of infectious diseases are an important tool for investigating and quantifying such effects, not least because the spread of a disease among humans is not amenable to direct experimental study. Here, we review recent efforts to incorporate human behaviour into disease models, and propose that such models can be broadly classified according to the type and source of information which individuals are assumed to base their behaviour on, and according to the assumed effects of such behaviour. We highlight recent advances as well as gaps in our understanding of the interplay between infectious disease dynamics and human behaviour, and suggest what kind of data taking efforts would be helpful in filling these gaps.
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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.