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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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Publisher copy:
10.1098/rsif.2024.0325

Authors


More by this author
Role:
Author
ORCID:
0000-0002-7806-3605
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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
ORCID:
0000-0001-8545-5212


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:
1742-5662
ISSN:
1742-5689


Language:
English
Keywords:
Pubs id:
2018528
Local pid:
pubs:2018528
Source identifiers:
2134941
Deposit date:
2024-07-24

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