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

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

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.

Bibliographic Details
Main Authors: Eugenio Valdano, Justin T. Okano, Vittoria Colizza, Honore K. Mitonga, Sally Blower
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23051-w
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spelling doaj-d44674a7228943b988c4e0b9782cc2b42021-05-16T11:09:38ZengNature Publishing GroupNature Communications2041-17232021-05-0112111010.1038/s41467-021-23051-wUsing mobile phone data to reveal risk flow networks underlying the HIV epidemic in NamibiaEugenio Valdano0Justin T. Okano1Vittoria Colizza2Honore K. Mitonga3Sally Blower4Center for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of CaliforniaCenter for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of CaliforniaINSERM, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique, IPLESPDepartment of Epidemiology and Biostatistics, School of Public Health, University of NamibiaCenter for Biomedical Modeling, The Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of CaliforniaHuman 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.https://doi.org/10.1038/s41467-021-23051-w
collection DOAJ
language English
format Article
sources DOAJ
author Eugenio Valdano
Justin T. Okano
Vittoria Colizza
Honore K. Mitonga
Sally Blower
spellingShingle Eugenio Valdano
Justin T. Okano
Vittoria Colizza
Honore K. Mitonga
Sally Blower
Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
Nature Communications
author_facet Eugenio Valdano
Justin T. Okano
Vittoria Colizza
Honore K. Mitonga
Sally Blower
author_sort Eugenio Valdano
title Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
title_short Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
title_full Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
title_fullStr Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
title_full_unstemmed Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia
title_sort using mobile phone data to reveal risk flow networks underlying the hiv epidemic in namibia
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-05-01
description 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.
url https://doi.org/10.1038/s41467-021-23051-w
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