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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Global maps of travel time to healthcare facilities
Nature Medicine, Volume 26, No. 12, Year 2020
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Description
Access to healthcare is a requirement for human well-being that is constrained, in part, by the allocation of healthcare resources relative to the geographically dispersed human population1–3. Quantifying access to care globally is challenging due to the absence of a comprehensive database of healthcare facilities. We harness major data collection efforts underway by OpenStreetMap, Google Maps and academic researchers to compile the most complete collection of facility locations to date. Leveraging the geographically variable strengths of our facility datasets, we use an established methodology4 to characterize travel time to healthcare facilities in unprecedented detail. We produce maps of travel time with and without access to motorized transport, thus characterizing travel time to healthcare for populations distributed across the wealth spectrum. We find that just 8.9% of the global population (646 million people) cannot reach healthcare within one hour if they have access to motorized transport, and that 43.3% (3.16 billion people) cannot reach a healthcare facility by foot within one hour. Our maps highlight an additional vulnerability faced by poorer individuals in remote areas and can help to estimate whether individuals will seek healthcare when it is needed, as well as providing an evidence base for efficiently distributing limited healthcare and transportation resources to underserved populations both now and in the future. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
Authors & Co-Authors
Weiss, Daniel J.
United Kingdom, Oxford
University of Oxford
Australia, Perth
Telethon Kids Institute
Australia, Perth
Curtin University
Nelson, A. D.
Netherlands, Enschede
Universiteit Twente
Vargas-Ruiz, Camilo A.
United Kingdom, Oxford
University of Oxford
Bertozzi-Villa, Amelia
United Kingdom, Oxford
University of Oxford
United States, Bellevue
Institute for Disease Modeling
Rozier, Jennifer A.
Australia, Perth
Telethon Kids Institute
Gibson, Harry S.
United Kingdom, Oxford
University of Oxford
Schulman, Kevin Alan
United States, Palo Alto
Stanford University
Nandi, Anita K.
United Kingdom, Oxford
University of Oxford
Keddie, Suzanne H.
Australia, Perth
Telethon Kids Institute
Rumisha, Susan Fred
United Kingdom, Oxford
University of Oxford
Amratia, Punam
United Kingdom, Oxford
University of Oxford
Arambepola, Rohan
United Kingdom, Oxford
University of Oxford
Chestnutt, Elisabeth G.
United Kingdom, Oxford
University of Oxford
Millar, Justin J.
United Kingdom, Oxford
University of Oxford
Symons, Tasmin L.
United Kingdom, Oxford
University of Oxford
Cameron, Ewan
Australia, Perth
Telethon Kids Institute
Australia, Perth
Curtin University
Battle, Katherine E.
United States, Bellevue
Institute for Disease Modeling
Bhatt, S. M.
United Kingdom, London
Imperial College London
Gething, Peter W.
Australia, Perth
Telethon Kids Institute
Australia, Perth
Curtin University
Statistics
Citations: 117
Authors: 19
Affiliations: 10
Identifiers
Doi:
10.1038/s41591-020-1059-1
ISSN:
10788956
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Grounded Theory