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).

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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
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article

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

Dolores Albarracín, Shaowen Wang, Man‐pui Sally Chan, Bita Fayaz Farkhad et al.
American Journal of Public Health
Data-Driven Disease Surveillance
article

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

Dolores Albarracín, Shaowen Wang, Man‐pui Sally Chan, Bita Fayaz Farkhad, Su Yeon Han, Jin-Woo Park
article en

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

American Journal of Public HealthVol. 115(10)
Kyung Hee University (KR)
Good health and well-being
Openalex Percentile: Top 71%
Data-Driven Disease Surveillance
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