ArticleBMC public health2015
Spontaneous social distancing in response to a simulated epidemic: a virtual experiment.
Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- App-based epidemic game in a university campus reveals how risk perception and behavioral interventions shape disease transmission dynamics.Scientific reports · 2026Article
- Analyzing the Trends of COVID-19 and Human Activity Intensity in Malaysia.Tropical medicine and infectious disease · 2023Article
- Place of distancing measures in containing epidemics: a scoping review.The Libyan journal of medicine · 2022Article
- Is Social Distancing Law the New Normal? Forced Shift to Media Online Learning and Its Effectiveness: A Moderating Role of Student Engagement During the Pandemic of COVID-19.Frontiers in psychology · 2022Article
- Panic, Psycho-Behavioral Responses, and Risk Perception in the Earliest Stage of the COVID-19 Pandemic in China.Frontiers in medicine · 2022Article
- Article
- Self-isolation for the self-centered: Negative framing increases narcissists' willingness to self-isolate during COVID-19 through higher response efficacy.Personality and individual differences · 2021Article
- Mobile Phone GPS Data and Prevalence of COVID-19 Infections: Quantifying Parameters of Social Distancing in the U.S.The archives of bone and joint surgery · 2021Article
- Learner-content interaction in e-learning- the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners.Smart learning environments · 2021Article
- Game analysis on the evolution of COVID-19 epidemic under the prevention and control measures of the government.PloS one · 2020Article
- Self-efficacy, social distancing, and essential worker status dynamics among SGM people.Annals of LGBTQ public and population health · 2020Article
- One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
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Authors and funding
5 authors.
Funding
Abstract
backgroundStudies of social distancing during epidemics have found that the strength of the response can have a decisive impact on the outcome. In previous work we developed a model of social distancing driven by individuals' risk attitude, a parameter which determines the extent to which social contacts are reduced in response to a given infection level. We showed by simulation that a strong response, driven by a highly cautious risk attitude, can quickly suppress an epidemic. However, a moderately cautious risk attitude gives weak control and, by prolonging the epidemic without reducing its impact, may yield a worse outcome than doing nothing. In real societies, social distancing may arise spontaneously from individual choices rather than being imposed centrally. There is little data available about this as opportunistic data collection during epidemics is difficult. Our study uses a simulated epidemic in a computer game setting to measure the social distancing response.
methodsTwo hundred thirty participants played a computer game simulating an epidemic on a spatial network. The player controls one individual in a population of 2500 (with others controlled by computer) and decides how many others to contact each day. To mimic real-world trade-offs, the player is motivated to make contact by being rewarded with points, while simultaneously being deterred by the threat of infection. Participants completed a questionnaire regarding psychological measures of health protection motivation. Finally, simulations were used to compare the experimentally-observed response to epidemics with no response.
resultsParticipants reduced contacts in response to infection in a manner consistent with our model of social distancing. The experimentally observed response was too weak to halt epidemics quickly, resulting in a somewhat reduced attack rate and a substantially reduced peak attack rate, but longer duration and fewer social contacts, compared to no response. Little correlation was observed between participants' risk attitudes and the psychological measures.
conclusionsOur cognitive model of social distancing matches responses to a simulated epidemic. If these responses indicate real world behaviour, spontaneous social distancing can be expected to reduce peak attack rates. However, additional measures are needed if it is important to stop an epidemic quickly.
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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.