Ending the HIV Epidemic: Development and Evaluation of CyberGIS-HIV, a Web-Based Prediction Application

2025/08/14 by Man‐pui Sally Chan, Bita Fayaz Farkhad, Su Yeon Han +3 · 1 voice
Medicine · Decision Sciences · #Data-Driven Disease Surveillance #Data Quality and Management

paper · doi:10.2105/ajph.2025.308194

openalex publication_date 2025/08/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

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. ( Am J Public Health. 2025;115(10):1589–1593. https://doi.org/10.2105/AJPH.2025.308194 )

Discussions

• New study featuring LDI Fellow dalbarra.bsky.social: CyberGIS-HIV, a web-based prediction tool, had more favorable public health and modeling ratings than other approaches currently used by 42 state & [bsky, 0 points, 1 comments]

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