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May 1, 2021 - Volume 35 - Issue 6

  • JA Levy

    Editors:
    Roel A. Coutinho
    Sarah L. Rowland-Jones
    Michael S. Saag
  • 0269-9370
  • 1473-5571
  • 15 / year
  • 7 of 37 Virology
    19 of 93 Infectious Diseases
    49 of 158 Immunology
  • 4.534

​​​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, AIDS.

“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.

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