How do non-independent host movements affect spatio-temporal disease dynamics? Partitioning the contributions of spatial overlap and correlated movements to transmission risk
Our theory provides clear expectations for when non-independent movements alter spatio-temporal transmission risk, showing that correlated movements can reshape epidemiological landscapes, creating transmission hotspots whose magnitude and location are not necessarily predictable from spatial overlap.
Authors
- Dailee L. Metts (ORCID: https://orcid.org/0009-0004-0573-0771)
- Juan S. Vargas Soto (ORCID: https://orcid.org/0000-0003-3279-3132)
- M. Wilber (ORCID: https://orcid.org/0000-0002-8274-8025)
- Lisa I. Muller (ORCID: https://orcid.org/0000-0001-7833-2273)
- Justin R. Kosiewska (ORCID: https://orcid.org/0009-0001-7313-0346)
- Dan Grove
Institutions
- University of Tennessee at Knoxville (US)
Publication Details
- Journal
- Movement Ecology
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1186/s40462-025-00539-4
- Citations
- 1
- Primary Topic
- Animal Disease Management and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.90
Funders
- U.S. Department of Agriculture