New Special Issue
We are pleased to announce the supplement publication "Harnessing Big Data to Halt HIV", a collection of articles in a special issue of the journal,
“The articles in this special issue of AIDS focus on the application of the so-called Big Data science (BDS) as applied to a variety of HIV-applied research questions in the sphere of health services and epidemiology. Recent advances in technology means that a critical mass of HIV-related health data with actionable intelligence is available for optimizing health outcomes, improving and informing surveillance. Data science will play a key but complementary role in supporting current efforts in prevention, diagnosis, treatment, and response needed to end the HIV epidemic. This collection provides a glimpse of the promise inherent in leveraging the digital age and improved methods in Big Data science to reimagine HIV treatment and prevention in a digital age."
Supplement Editors: Bankole Olatosi, Sten H. Vermund and Xiaoming Li
Figure: Diagram of machine-learning experiments. From: Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina. AIDS 35:S19-S28, May 1, 2021.