CyberGIS-HIV

Author(s): Su Yeon Han, Chaeyeon Han, Chang Liu, Jinwoo Park, Nattapon Jaroenchai, Zhiyu Li, Shaowen Wang , Bita Fayaz Farkhad, Man-pui Sally Chan, Danielle Sass, Bo Li, Dolores Albarracin

CyberGIS-HIV is a Web-based GIS application that visualizes and predicts spatiotemporal patterns of HIV rates in US counties. On the graphical user interface, users can run the model on the fly. As an output of the model, spatiotemporal patterns of estimated HIV rates and key HIV predictors are visualized via the interactive coordinated and multiple views. CyberGIS-HIV enables forecasting how future HIV rates change as HIV predictors (e.g., Pre-exposure prophylaxis (or PrEP) use rate or HIV test rate) change.


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