Paper accepted by ADIS journal: “Building a Social media-based HIV Risk Behavior Index to Inform the Prediction of HIV New Diagnosis”

Our paper “Building a Social media-based HIV Risk Behavior Index to Inform the Prediction of HIV New Diagnosis: A Feasibility Study”, authored by Zhenlong Li, Shan Qiao, Yuqin Jiang, and Xiaoming Li, is accepted for publication by AIDS journal.

Objective: Analysis of geolocation-based social media Big Data provides unprecedented opportunities for a broad range of domains including health, as health is intrinsically linked to the geographic characteristics of places. HIV infection is largely driven by HIV risk behaviors such as unsafe sexual behavior and drug abuse/addiction. This study explores the feasibility of building a Social media-based HIV Risk Behavior index (SRB) at the county level for informing HIV surveillance and prevention, considering social determinants of health and geographic locations.

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