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Cross-border travel patterns affect magnitude estimates for the Ebola Bundibugyo epidemic

Abstract:
Abstract A geographic spread approach is often used to estimate the true burden of infectious disease cases in a source population by leveraging statistical signals generated by cases exported and reported elsewhere. Here we estimated an upper bound on the likely burden of Bundibugyo virus disease cases in the Democratic Republic of Congo early in the unfolding 2026 epidemic based on the number of cases imported and confirmed in Uganda. We expanded a geographic spread approach to account for its specific epidemiological contexts: most cross-border movements between the Democratic Republic of Congo and Uganda are short-duration trips, and, at the time of this analysis, all cases imported and confirmed in Uganda were individuals who travelled specifically to seek healthcare. Incorporating these factors substantially affected burden estimates, highlighting both the potential severity of the epidemic in its early phase and the critical need to consider local epidemiological contexts when applying geographic spread approaches to reduce and be aware of potential biases in estimates for early epidemic responses.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s44360-026-00178-y

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-4118-2803
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-0195-2463


Publisher:
Nature Research
Journal:
Nature Health More from this journal
Publication date:
2026-07-17
DOI:
EISSN:
3005-0693
ISSN:
3005-0693


Language:
English
Keywords:
Pubs id:
2446337
Local pid:
pubs:2446337
Source identifiers:
W7169505815
Deposit date:
2026-07-24
ARK identifier:
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