Ending the HIV Epidemic

Development and Evaluation of CyberGIS-HIV, a Web-Based Prediction Application

Bibliographic Data

ID11026239
AuthorsMan-Pui Sally Chan (0000-0003-2984-0487, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information), Bita Fayaz-Farkhad (0000-0002-2669-9986, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information), Su Yeon Han (0000-0002-3906-4533, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information), Jinwoo Park (0000-0002-6774-216X, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information), Shaowen Wang (0000-0001-5848-590X, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information), Dolores Albarracin (0000-0002-9878-942X, Man-pui Sally Chan and Bita Fayaz-Farkhad are with the Annenberg School for Communication and the Annenberg Public Policy Center, University of Pennsylvania, Philadelphia. Su Yeon Han is with the Department of Geography and Environmental Studies, Texas State University, San Marcos. Jinwoo Park is with the Department of Geography and the Department of Climate-Social Science Convergence, Kyung Hee University, Seoul, Republic of Korea. Shaowen Wang is with the Department of Geography and Geographic Information)
Year2025
Volume115
Issue10
Pages1589-1593
Publication date2025-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2025.308194
PMID40811775
OpenAlexW4413137822
LanguageEN
References cited8

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 )

Environmental health · Family medicine · Human immunodeficiency virus (HIV) · International health · Journal of Public Health · Public health · Sample (material) · Data Quality and Management · Data-Driven Disease Surveillance · Epidemiology · Medicine · Nursing · Gerontology · Health Policy

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