Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia

Eugenio Valdano; Justin T. Okano; Vittoria Colizza; Honore K. Mitonga; Sally Blower

doi:10.1038/s41467-021-23051-w

Nature Communications (May 2021)

Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia

Eugenio Valdano,
Justin T. Okano,
Vittoria Colizza,
Honore K. Mitonga,
Sally Blower

Affiliations

Eugenio Valdano: Center for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California
Justin T. Okano: Center for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California
Vittoria Colizza: INSERM, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique, IPLESP
Honore K. Mitonga: Department of Epidemiology and Biostatistics, School of Public Health, University of Namibia
Sally Blower: Center for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California

DOI: https://doi.org/10.1038/s41467-021-23051-w
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 10

Abstract

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Human mobility influences the spatial distribution of infectious diseases such as HIV. Here, the authors use call data records from mobile phones to model HIV networks in Namibia and estimate that ~40% of the risk of HIV acquisition is driven by mobility.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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