Work

Power of Big Data in ending HIV

Year: 2021

Type: article

Abstract: 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.

Source: AIDS

DOI: 10.1097/qad.0000000000002888

Authors: Bankole Olatosi, Sten H. Vermund, Xiaoming Li

Institutions: University of South Carolina, Yale University

Language: English

Topic: HIV/AIDS Research and Interventions

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute of Mental Health, National Institute of Allergy and Infectious Diseases