ArticleProceedings. Biological sciences2015
Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic.
Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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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
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Behavioural change models for infectious disease transmission: a systematic review (2010-2015).Journal of the Royal Society, Interface · 2016Pooled it
- Low effectiveness of influenza vaccines vis-à-vis mechanism of protection by vaccines - potential causes and recommendations to improve control of influenza.Frontiers in immunology · 2026Review
- Examining the effects of voluntary avoidance behaviour and policy-mediated behaviour change on the dynamics of SARS-CoV-2: A mathematical model.Infectious Disease Modelling · 2024Article
- Physical distancing versus testing with self-isolation for controlling an emerging epidemic.Scientific reports · 2023Article
- Spatiotemporal Trends in Self-Reported Mask-Wearing Behavior in the United States: Analysis of a Large Cross-sectional Survey.JMIR public health and surveillance · 2023Article
- Spatiotemporal trends in self-reported mask-wearing behavior in the United States: Analysis of a large cross-sectional survey.medRxiv : the preprint server for health sciences · 2023Article
- Human behavior in the time of COVID-19: Learning from big data.Frontiers in big data · 2023Review
- Can the establishment of national sanitary cities better resist the impact of COVID-19?Frontiers in public health · 2023Article
- Place of distancing measures in containing epidemics: a scoping review.The Libyan journal of medicine · 2022Article
- Disease-economy trade-offs under alternative epidemic control strategies.Nature communications · 2022Article
- Challenges of integrating economics into epidemiological analysis of and policy responses to emerging infectious diseases.Epidemics · 2022Article
- Measuring voluntary responses in healthcare utilization during the COVID-19 pandemic: Evidence from Taiwan.PloS one · 2022Article
- The evolution of the human healthcare system and implications for understanding our responses to COVID-19.Evolution, medicine, and public health · 2022Review
- Who Is the Most Vulnerable to Anxiety at the Beginning of the COVID-19 Outbreak in China? A Cross-Sectional Nationwide Survey.Healthcare (Basel, Switzerland) · 2021Article
- Improving pandemic mitigation policies across communities through coupled dynamics of risk perception and infection.Proceedings. Biological sciences · 2021Article
- Non-pharmaceutical interventions during the COVID-19 pandemic: A review.Physics reports · 2021Review
- Measuring voluntary and policy-induced social distancing behavior during the COVID-19 pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Social interactions and the prophylaxis of SI epidemics on networks.Journal of mathematical economics · 2021Article
- Risk compensation and face mask mandates during the COVID-19 pandemic.Scientific reports · 2021Article
- Focus on the predictive management of COVID-19 risk in educational institutions in Morocco.Materials today. Proceedings · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003-2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for 'distancing' or non-pharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.
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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.