ArticleNature communications2021
Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.PLoS computational biology · 2026Article
- Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.PLoS computational biology · 2026Article
- Geospatial mobility, non-local partners, concurrent sexual partnerships, and gender influence longitudinal STI prevalence in rural eastern Africa.International journal of STD & AIDS · 2026Article
- Metrics of Mobility by Sex are Associated with HIV Incidence in Rural Kenya and Uganda.AIDS and behavior · 2025Article
- Extreme inequities in access to HIV treatment in Malawi.Nature medicine · 2025Article
- Optimizing the detection of emerging infections using mobility-based spatial sampling.International journal of applied earth observation and geoinformation : ITC journal · 2024Article
- Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review.Current HIV/AIDS reports · 2023Article
- The role of migration networks in the development of Botswana's generalized HIV epidemic.eLife · 2023Article
- Population genomics of diarrheagenic Escherichia coli uncovers high connectivity between urban and rural communities in Ecuador.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023Article
- Disparities in mobile phone ownership reflect inequities in access to healthcare.PLOS digital health · 2023Article
- Population mobility and the development of Botswana's generalized HIV epidemic: a network analysis.medRxiv : the preprint server for health sciences · 2023Article
- Use of mobile phone data in HIV epidemic control.The lancet. HIV · 2022Article
- Predictors of migration in an HIV hyper-endemic rural South African community: evidence from a population-based cohort (2005-2017).BMC public health · 2022Article
- The potential impact of country-level migration networks on HIV epidemics in sub-Saharan Africa: the case of Botswana.The lancet. HIV · 2021Review
- Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia.Nature communications · 2021Article
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Authors and funding
5 authors.
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Abstract
Twenty-six million people are living with HIV in sub-Saharan Africa; epidemics are widely dispersed, due to high levels of mobility. However, global elimination strategies do not consider mobility. We use Call Detail Records from 9 billion calls/texts to model mobility in Namibia; we quantify the epidemic-level impact by using a mathematical framework based on spatial networks. We find complex networks of risk flows dispersed risk countrywide: increasing the risk of acquiring HIV in some areas, decreasing it in others. Overall, 40% of risk was mobility-driven. Networks contained multiple risk hubs. All constituencies (administrative units) imported and exported risk, to varying degrees. A few exported very high levels of risk: their residents infected many residents of other constituencies. Notably, prevalence in the constituency exporting the most risk was below average. Large-scale networks of mobility-driven risk flows underlie generalized HIV epidemics in sub-Saharan Africa. In order to eliminate HIV, it is likely to become increasingly important to implement innovative control strategies that focus on disrupting risk flows.
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