Department of Anthropology and Center for the Dynamics of Social Complexity (DySoC), University of Tennessee, Knoxville, TN, United States of America.
Centre for Ecology and Conservation, University of Exeter, Exeter, United Kingdom.
PLoS One. 2022 Jan 11;17(1):e0262505. doi: 10.1371/journal.pone.0262505. eCollection 2022.
The global pandemic of COVID-19 revealed the dynamic heterogeneity in how individuals respond to infection risks, government orders, and community-specific social norms. Here we demonstrate how both individual observation and social learning are likely to shape behavioral, and therefore epidemiological, dynamics over time. Efforts to delay and reduce infections can compromise their own success, especially when disease risk and social learning interact within sub-populations, as when people observe others who are (a) infected and/or (b) socially distancing to protect themselves from infection. Simulating socially-learning agents who observe effects of a contagious virus, our modelling results are consistent with with 2020 data on mask-wearing in the U.S. and also concur with general observations of cohort induced differences in reactions to public health recommendations. We show how shifting reliance on types of learning affect the course of an outbreak, and could therefore factor into policy-based interventions incorporating age-based cohort differences in response behavior.
COVID-19 大流行揭示了个体对感染风险、政府命令和特定社区社会规范的反应存在动态异质性。在这里,我们展示了个体观察和社会学习如何随着时间的推移塑造行为,从而影响流行病学动态。延迟和减少感染的努力可能会危及自身的成功,特别是当疾病风险和社会学习在亚人群中相互作用时,例如当人们观察到他人(a)感染和/或(b)为保护自己免受感染而进行社交隔离时。我们模拟了观察传染性病毒影响的社会学习代理,我们的建模结果与 2020 年美国戴口罩的数据一致,也与对公众健康建议的反应因年龄队列差异而产生的一般观察结果一致。我们展示了依赖学习类型如何影响疫情的发展,因此可能会影响到纳入基于年龄队列差异的反应行为的基于政策的干预措施。