David O'Gara, Matt Kasman, Laurent Hébert-Dufresne, Ross A Hammond
{"title":"流行病期间的适应性行为:建模动力学的社会风险评估方法。","authors":"David O'Gara, Matt Kasman, Laurent Hébert-Dufresne, Ross A Hammond","doi":"10.1098/rsif.2024.0363","DOIUrl":null,"url":null,"abstract":"<p><p>The interaction of infectious diseases and behavioural responses to them has been the subject of widespread study. However, limited attention has been given to how broader social context shapes behavioural response. In this work, we propose a novel framework which combines two well-studied dynamic processes into a 'social risk appraisal' mechanism. Our proposed framework has both theoretical and empirical support, occupying an important middle ground in the interacting contagions literature. Results indicate that a risk appraisal framework can express a wide range of epidemic outcomes, driven by simple interaction rules. This framework has implications for designing containment strategies in disease outbreaks, as well as equity considerations. Finally, the risk appraisal approach is well-posed to engage with a broad set of literature in epidemic management, decision-making and the adoption of social behaviours.</p>","PeriodicalId":17488,"journal":{"name":"Journal of The Royal Society Interface","volume":"22 222","pages":"20240363"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732433/pdf/","citationCount":"0","resultStr":"{\"title\":\"Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics.\",\"authors\":\"David O'Gara, Matt Kasman, Laurent Hébert-Dufresne, Ross A Hammond\",\"doi\":\"10.1098/rsif.2024.0363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The interaction of infectious diseases and behavioural responses to them has been the subject of widespread study. However, limited attention has been given to how broader social context shapes behavioural response. In this work, we propose a novel framework which combines two well-studied dynamic processes into a 'social risk appraisal' mechanism. Our proposed framework has both theoretical and empirical support, occupying an important middle ground in the interacting contagions literature. Results indicate that a risk appraisal framework can express a wide range of epidemic outcomes, driven by simple interaction rules. This framework has implications for designing containment strategies in disease outbreaks, as well as equity considerations. Finally, the risk appraisal approach is well-posed to engage with a broad set of literature in epidemic management, decision-making and the adoption of social behaviours.</p>\",\"PeriodicalId\":17488,\"journal\":{\"name\":\"Journal of The Royal Society Interface\",\"volume\":\"22 222\",\"pages\":\"20240363\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732433/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Royal Society Interface\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1098/rsif.2024.0363\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Royal Society Interface","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsif.2024.0363","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics.
The interaction of infectious diseases and behavioural responses to them has been the subject of widespread study. However, limited attention has been given to how broader social context shapes behavioural response. In this work, we propose a novel framework which combines two well-studied dynamic processes into a 'social risk appraisal' mechanism. Our proposed framework has both theoretical and empirical support, occupying an important middle ground in the interacting contagions literature. Results indicate that a risk appraisal framework can express a wide range of epidemic outcomes, driven by simple interaction rules. This framework has implications for designing containment strategies in disease outbreaks, as well as equity considerations. Finally, the risk appraisal approach is well-posed to engage with a broad set of literature in epidemic management, decision-making and the adoption of social behaviours.
期刊介绍:
J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.