Ending the HIV Epidemic: Development and Evaluation of CyberGIS-HIV, a Web-Based Prediction Application
Officials from US state and county health departments perceive the need to adopt new methods for making epidemiological decisions about HIV. Hence, a web-based prediction modeling application, CyberGIS-HIV, was developed and systematically compared with currently used approaches (e.g., community consultation) in a sample of 42 state and federal public health officials as well as senior and junior modelers. Overall, CyberGIS-HIV had more favorable public health and modeling ratings than other approaches currently used by the participants. (<i>Am J Public Health</i>. 2025;115(10):1589-1593. https://doi.org/10.2105/AJPH.2025.308194).
Authors
- Dolores Albarracín (ORCID: https://orcid.org/0000-0002-9878-942X)
- Shaowen Wang (ORCID: https://orcid.org/0000-0001-5848-590X)
- Man‐pui Sally Chan (ORCID: https://orcid.org/0000-0003-2984-0487)
- Bita Fayaz Farkhad (ORCID: https://orcid.org/0000-0002-2669-9986)
- Su Yeon Han (ORCID: https://orcid.org/0000-0002-3906-4533)
- Jin-Woo Park (ORCID: https://orcid.org/0000-0002-6774-216X)
Institutions
- Kyung Hee University (KR)
Publication Details
- Journal
- American Journal of Public Health
- Published
- 2025-08-14
- DOI
- https://doi.org/10.2105/ajph.2025.308194
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00