Author
Listed:
- William S. Hart
(University of Oxford)
- Jina Amin
(University of Oxford)
- Hyeongki Park
(Pusan National University
Nagoya University)
- Kosaku Kitagawa
(Nagoya University)
- Yong Dam Jeong
(Nagoya University
Pusan National University)
- Alexander R. Kaye
(University of Warwick
University of Warwick)
- Shingo Iwami
(Nagoya University
Kyushu University
Kyoto University
RIKEN)
- Robin N. Thompson
(University of Oxford)
Abstract
Estimates of the risk of a large outbreak resulting from pathogen introduction into a population are valuable for planning interventions. Two key factors affecting outbreak risks are variation in transmission between individuals (e.g., superspreading individuals) and change over time (e.g., through seasonality or changing population immunity due to vaccination). Here, we develop an outbreak risk estimation framework that accounts for both features simultaneously. To demonstrate the real-world application of our framework, we consider the design of annual COVID-19 booster vaccination campaigns, using a multi-scale approach incorporating an individual-level model of vaccine-induced antibody dynamics. Near the start of annual vaccine distribution, when population immunity is low, a high outbreak risk is possible; this can be mitigated by distributing vaccines over a longer period. We show that longer distribution periods are particularly beneficial if vaccine coverage and/or effectiveness is high, and if seasonality in transmission is limited.
Suggested Citation
William S. Hart & Jina Amin & Hyeongki Park & Kosaku Kitagawa & Yong Dam Jeong & Alexander R. Kaye & Shingo Iwami & Robin N. Thompson, 2025.
"Effects of individual variation and seasonal vaccination on disease risks,"
Nature Communications, Nature, vol. 16(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63375-5
DOI: 10.1038/s41467-025-63375-5
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