Journal article
Climate-driven host ecology as a framework for zoonotic disease risk: understanding transferability across arenavirus systems
- Abstract:
- Mechanistic frameworks linking climate to zoonotic disease risk through host ecology remain rare, limiting transferable insights across systems. We develop a Bayesian framework combining an integral projection model of rodent demography with a compartmental disease model. Applied to capture-mark-recapture data from the Natal multimammate mouse (Mastomys natalensis; N= 20,249 captures, 1994-2023) and serological data on the Lassa virus-related Morogoro arenavirus (N= 7,850 tests, 2010-2017), the framework jointly estimates climatic, demographic, and transmission parameters. Rainfall was a dominant driver of rodent recruitment, with seasonal rainfall explaining 52.1% (95% CrI 2.1 to 79.0%) of modeled recruitment variation. In a field-first, we estimate that 79.1% (95% CrI 69.3 to 88.9%) of infected pregnancies result in vertical transmission, identifying this as the primary mechanism maintaining viral persistence between breeding seasons. We assess framework transferability to capture the seasonal dynamics of Lassa fever outbreaks in Nigeria (N= 6,469 laboratory-confirmed cases, 2018-2025), substituting model climate inputs without refitting any parameters. Predicted peaks in rodent subadult infections preceded observed outbreaks by 0.92 mo (95% CrI -2.76 to 0.92), with 83% of predicted and observed peaks falling within ±28 d [Pr(Δ ≤ 28d) = 0.83], substantially outperforming seasonal rainfall or rodent demography [Pr(Δ ≤ 28d) ≤ 0.11]. Infected adult peaks lagged observed outbreaks by 0.92 mo [Pr(Δ ≤ 28d) = 0.56], suggesting subadults might primarily be responsible for zoonotic hazard. Outbreak magnitude was not reproduced, likely reflecting human behavioral and surveillance factors beyond the model's scope. These results illustrate how mechanistic frameworks grounded in reservoir host ecology can yield transferable insights into zoonotic risk, with potential application across other climate-sensitive host-pathogen systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Supplementary materials, pdf, 1.6MB, Terms of use)
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1073/pnas.2625913123
Authors
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 220179/Z/20/Z
+ Natural Environment Research Council
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- Funder identifier:
- https://ror.org/02b5d8509
- Grant:
- NE/P012345/1
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- BB/S019669/1
- Grant:
- BB/X019683/1
- Grant:
- BB/X005364
+ UK Research and Innovation
More from this funder
- Funder identifier:
- https://ror.org/001aqnf71
- Grant:
- 2208034
+ U.S. National Science Foundation
More from this funder
- Funder identifier:
- https://ror.org/021nxhr62
- Grant:
- 2109828
- Publisher:
- National Academy of Sciences
- Journal:
- Proceedings of the National Academy of Sciences More from this journal
- Volume:
- 123
- Issue:
- 39
- Article number:
- e2625913123
- Place of publication:
- United States
- Publication date:
- 2026-09-25
- Acceptance date:
- 2026-08-17
- DOI:
- EISSN:
-
1091-6490
- ISSN:
-
0027-8424
- Pmid:
-
42789295
- Language:
-
English
- Keywords:
- Pubs id:
-
2454654
- Local pid:
-
pubs:2454654
- Source identifiers:
-
W7214302224
- Deposit date:
-
2026-11-05
- ARK identifier:
Terms of use
- Copyright holder:
- Milne et al.
- Copyright date:
- 2026
- Rights statement:
- © 2026 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
- Licence:
- CC Attribution (CC BY)
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