Journal article
Host behaviour driven by awareness of infection risk amplifies the chance of superspreading events
- Abstract:
- We demonstrate that heterogeneity in the perceived risks associated with infection within host populations amplifies chances of superspreading during the crucial early stages of epidemics. Under this behavioural model, individuals less concerned about dangers from infection are more likely to be infected and attend larger sized (riskier) events, where we assume event sizes remain unchanged. For directly transmitted diseases such as COVID-19, this leads to infections being introduced at rates above the population prevalence to those events most conducive to superspreading. We develop an interpretable, computational framework for evaluating within-event risks and derive a small-scale reproduction number measuring how the infections generated at an event depend on transmission heterogeneities and numbers of introductions. This generalizes previous frameworks and quantifies how event-scale patterns and population-level characteristics relate. As event duration and size grow, our reproduction number converges to the basic reproduction number. We illustrate that even moderate levels of heterogeneity in the perceived risks of infection substantially increase the likelihood of disproportionately large clusters of infections occurring at larger events, despite fixed overall disease prevalence. We show why collecting data linking host behaviour and event attendance is essential for accurately assessing the risks posed by invading pathogens in emerging stages of outbreaks.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1098/rsif.2024.0325
Authors
- Publisher:
- The Royal Society
- Journal:
- Journal of the Royal Society Interface More from this journal
- Volume:
- 21
- Issue:
- 216
- Article number:
- 20240325
- Publication date:
- 2024-07-24
- Acceptance date:
- 2024-06-18
- DOI:
- EISSN:
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1742-5662
- ISSN:
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1742-5689
- Language:
-
English
- Keywords:
- Pubs id:
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2018528
- Local pid:
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pubs:2018528
- Source identifiers:
-
2134941
- Deposit date:
-
2024-07-24
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