Probabilistic data linkage to study the epidemiology of unintentional fatal drowning in a large metropolitan region
Probabilistic data linkage can accurately determine the epidemiology of fatal drowning in a metropolitan region. Identification of high-risk drowning subpopulations and locations can inform drowning countermeasures at the regional level.
Authors
- Ned Levine (ORCID: https://orcid.org/0000-0002-1053-2663)
- Elizabeth A. Camp (ORCID: https://orcid.org/0000-0001-5359-3557)
- Sandra McKay (ORCID: https://orcid.org/0000-0002-5073-3662)
- Rohit Shenoi (ORCID: https://orcid.org/0000-0002-7518-7223)
- Shaila Zaman
- Linh Nguyen (ORCID: https://orcid.org/0009-0000-5696-6478)
Institutions
- Texas Children's Hospital (US)
- Houston Eye Associates (US)
- The University of Texas Health Science Center (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Injury Epidemiology
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s40621-025-00623-8
- Citations
- 2
- Primary Topic
- Injury Epidemiology and Prevention
- Type
- article
- Field-Weighted Citation Impact
- 3.76
Funders
- Texas Parks and Wildlife Department
- Centers for Disease Control and Prevention