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Harnessing digital data and data science to achieve 90–90–90 goals to end the HIV epidemic

Harnessing digital data and data science to achieve 90–90–90 goals to end the HIV epidemic Purpose of review Effective public health interventions depend on timely, accurate surveillance. Harnessing digital data (including internet searches, social media, and online media) and data science is an emerging approach to complement traditional surveillance in public health but has been underutilized in HIV prevention and treatment. Recent findings We highlight recent examples that illustrate how social media data can be applied to HIV surveillance and prevention interventions. Summary To achieve 90–90–90 goals to end the HIV epidemic, we encourage traditional public health researchers to partner with data scientists to supplement HIV surveillance programs with social media analytics to refine estimates of HIV infections and key populations at risk and to identify subgroups and regions where prevention and treatment efforts need to be bolstered. We also encourage interdisciplinary teams to design interventions to promote HIV prevention and linkage to care by leveraging digital media, such as search engines and social media, that have the potential to reach millions of people instantaneously. Department of Medicine, Division of Infectious Disease and Global Public Health, UC San Diego, La Jolla, California, USA Correspondence to Steffanie A. Strathdee, Department of Medicine, Division of Infectious Disease and Global Public Health, UC San Diego, 9500 Gilman Drive, Mail Code 0507, La Jolla CA 92093-0507, USA. Tel: +1 858 822 1952; e-mail: sstrathdee@ucsd.edu http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Opinion in HIV and Aids Wolters Kluwer Health

Harnessing digital data and data science to achieve 90–90–90 goals to end the HIV epidemic

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Publisher
Wolters Kluwer Health
ISSN
1746-630X
eISSN
1746-6318
DOI
10.1097/COH.0000000000000584
Publisher site
See Article on Publisher Site

Abstract

Purpose of review Effective public health interventions depend on timely, accurate surveillance. Harnessing digital data (including internet searches, social media, and online media) and data science is an emerging approach to complement traditional surveillance in public health but has been underutilized in HIV prevention and treatment. Recent findings We highlight recent examples that illustrate how social media data can be applied to HIV surveillance and prevention interventions. Summary To achieve 90–90–90 goals to end the HIV epidemic, we encourage traditional public health researchers to partner with data scientists to supplement HIV surveillance programs with social media analytics to refine estimates of HIV infections and key populations at risk and to identify subgroups and regions where prevention and treatment efforts need to be bolstered. We also encourage interdisciplinary teams to design interventions to promote HIV prevention and linkage to care by leveraging digital media, such as search engines and social media, that have the potential to reach millions of people instantaneously. Department of Medicine, Division of Infectious Disease and Global Public Health, UC San Diego, La Jolla, California, USA Correspondence to Steffanie A. Strathdee, Department of Medicine, Division of Infectious Disease and Global Public Health, UC San Diego, 9500 Gilman Drive, Mail Code 0507, La Jolla CA 92093-0507, USA. Tel: +1 858 822 1952; e-mail: sstrathdee@ucsd.edu

Journal

Current Opinion in HIV and AidsWolters Kluwer Health

Published: Nov 1, 2019

References