CyberGIS-HIV

Author(s): Su Yeon Han, Chaeyeon Han, Chang Liu, Jinwoo Park, Shaowen Wang

CyberGIS-HIV is a Web-based GIS application that visualizes spatiotemporal patterns of HIV rates from 2012 to 2018 and predicts HIV rates from 2019 to 2026 in the US counties. To compute the expected HIV rates, every time the user submits the job, the model runs on the fly and visualizes the estimated HIV rates and key HIV predictors in a combination of maps and various charts. CyberGIS-HIV enables predicting how future HIV rates change as HIV predictors (e.g., PrEP* use rate or HIV test rate) change. *Re-exposure prophylaxis (or PrEP) is a medicine taken to prevent getting HIV.


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