ArticleNature communications2014
Using geospatial modelling to optimize the rollout of antiretroviral-based pre-exposure HIV interventions in Sub-Saharan Africa.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Quantifying rates of HIV-1 flow between risk groups and geographic locations in Kenya: A country-wide phylogenetic study.Virus evolution · 2022Article
- Phylogeographic Assessment Reveals Geographic Sources of HIV-1 Dissemination Among Men Who Have Sex With Men in Kenya.Frontiers in microbiology · 2022Article
- Operational research: A multidisciplinary approach for the management of infectious disease in a global context.European journal of operational research · 2021Article
- Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa.BMJ global health · 2021Article
- Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems.BMC medicine · 2021Article
- Article
- Impact of a borderless sample transport network for scaling up viral load monitoring: results of a geospatial optimization model for Zambia.Journal of the International AIDS Society · 2018Article
- A modeling study of the Danish HIV epidemic in men who have sex with men: travel, pre-exposure prophylaxis and elimination.Scientific reports · 2018Article
- Progress toward eliminating TB and HIV deaths in Brazil, 2001-2015: a spatial assessment.BMC medicine · 2018Article
- Spatial Methods to Enhance Public Health Surveillance and Resource Deployment in the Opioid Epidemic.American journal of public health · 2018Article
- Geographic variation in sexual behavior can explain geospatial heterogeneity in the severity of the HIV epidemic in Malawi.BMC medicine · 2018Article
- Geospatial modelling in guiding health program strategies in resource-limited settings-the way forward.Annals of translational medicine · 2017Article
- Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.Scientific reports · 2017Article
- Response to comment on "Using geospatial mapping to design HIV elimination strategies for sub-Saharan Africa".Science translational medicine · 2017Article
- Methodological concerns regarding a PrEP model.The Lancet. Infectious diseases · 2017Article
- HIV epidemic drivers in South Africa: A model-based evaluation of factors accounting for inter-provincial differences in HIV prevalence and incidence trends.Southern African journal of HIV medicine · 2017Article
- Sex-specific maps of HIV epidemics in sub-Saharan Africa.The Lancet. Infectious diseases · 2016Article
- Maximising HIV prevention by balancing the opportunities of today with the promises of tomorrow: a modelling study.The lancet. HIV · 2016Article
- Factors Driving the HIV Epidemic in Southern Africa.Current HIV/AIDS reports · 2016Review
- Unveiling Spatial Epidemiology of HIV with Mobile Phone Data.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Antiretroviral (ARV)-based pre-exposure HIV interventions may soon be rolled out in resource-constrained Sub-Saharan African countries, but rollout plans have yet to be designed. Here we use geospatial modelling and optimization techniques to compare two rollout plans for ARV-based microbicides in South Africa: a utilitarian plan that minimizes incidence by using geographic targeting, and an egalitarian plan that maximizes geographic equity in access to interventions. We find significant geographic variation in the efficiency of interventions in reducing HIV transmission, and that efficiency increases disproportionately with increasing incidence. The utilitarian plan would result in considerable geographic inequity in access to interventions, but (by exploiting geographic variation in incidence) could prevent ~40% more infections than the egalitarian plan. Our results show that the geographic resource allocation decisions made at the beginning of a rollout, and the location where the rollout is initiated, will be crucial in determining the success of interventions in reducing HIV epidemics.
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