Variables for habitat and vertebrate hosts of Ixodes scapularis are the best ecological predictors of the spatial spread of Lyme disease in the United States (2010–2019)
Utilization of ML algorithms trained with variables impacting the circulation of Bb produced a comprehensive model of county-level LD incidence and captured the main factors acting on the spread of the pathogen. This represents an important step towards an integrated framework aimed at capturing LD incidence changes for preventive purposes.
Authors
- Patrick H. Kelly (ORCID: https://orcid.org/0000-0002-5155-6741)
- James H. Stark (ORCID: https://orcid.org/0000-0002-0728-876X)
- Alexander Davidson (ORCID: https://orcid.org/0009-0002-0647-2028)
- Agustín Estrada‐Peña (ORCID: https://orcid.org/0000-0001-7483-046X)
- Sarah J. Willis (ORCID: https://orcid.org/0000-0002-1181-4347)
- Jennifer C. Moїsi
Institutions
- Pfizer (United States) (US)
- Government of Spain (ES)
- Pfizer (France) (FR)
- Global Vaccines (United States) (US)
Publication Details
- Journal
- Parasites & Vectors
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s13071-025-07047-9
- Citations
- 2
- Primary Topic
- Vector-borne infectious diseases
- Type
- article
- Field-Weighted Citation Impact
- 4.10
Funders
- Pfizer