How Big Data Science Can Improve Linkage and Retention in Care

Aadia I Rana; Michael J Mugavero

doi:10.1016/j.idc.2019.05.009

How Big Data Science Can Improve Linkage and Retention in Care

Infect Dis Clin North Am. 2019 Sep;33(3):807-815. doi: 10.1016/j.idc.2019.05.009.

Authors

Aadia I Rana¹, Michael J Mugavero²

Affiliations

¹ Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, 845 19th Street South BBRB 206, Birmingham, AL 35205, USA. Electronic address: airana@uabmc.edu.
² Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, 845 19th Street South BBRB 206, Birmingham, AL 35205, USA.

PMID: 31395146
DOI: 10.1016/j.idc.2019.05.009

Abstract

Ending the HIV Epidemic: A Plan for America" (EtHE), launched by the Department of Health and Human Services (DHHS), is predicated on actionable data systems to monitor progress toward ambitious goals and to guide human immunodeficiency virus (HIV) testing, prevention, and treatment services. Situated on a status-neutral continuum of HIV prevention and care, EtHE relies on coordination across DHHS agencies and utilization of data systems established for programmatic purposes. Improving efficiencies and timeliness of existing data systems and harnessing the potential of novel data systems, including those afforded by social media, require big data science approaches and investment in technological and human resources.

Keywords: AIDS; Continuum; Data; HIV; Prevention; Surveillance; Treatment.

Publication types

Research Support, N.I.H., Extramural
Review

MeSH terms

Americas / epidemiology
Big Data*
Data Science / methods*
Disease Management
Disease Transmission, Infectious / prevention & control*
HIV Infections / epidemiology*
HIV Infections / prevention & control*
Humans
Medication Adherence*
Retention in Care*

Grants and funding

R01 AI142690/AI/NIAID NIH HHS/United States