High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa
High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa
Social distancing has been widely-implemented as a public health measure during the COVID-19 pandemic. Despite widespread application of social distancing guidance, the feasibility of people adhering to such guidance varies in different settings, influenced by population density, the built environment and a range of socio-economic factors. Social distancing constraints however have only been identified and mapped for limited areas. Here, we present an ease of social distancing index, integrating metrics on urban form and population density derived from new multi-country building footprint datasets and gridded population estimates. The index dataset provides estimates of social distancing feasibility, mapped at high-resolution for urban areas across 50 countries in sub-Saharan Africa.
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
18 November 2022
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Chamberlain, Heather, Tatem, Andrew and Lazar, Attila
(2022)
High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa.
Scientific Data, 9 (1), [711].
(doi:10.1038/s41597-022-01799-0).
Abstract
Social distancing has been widely-implemented as a public health measure during the COVID-19 pandemic. Despite widespread application of social distancing guidance, the feasibility of people adhering to such guidance varies in different settings, influenced by population density, the built environment and a range of socio-economic factors. Social distancing constraints however have only been identified and mapped for limited areas. Here, we present an ease of social distancing index, integrating metrics on urban form and population density derived from new multi-country building footprint datasets and gridded population estimates. The index dataset provides estimates of social distancing feasibility, mapped at high-resolution for urban areas across 50 countries in sub-Saharan Africa.
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s41597-022-01799-0
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Published date: 18 November 2022
Additional Information:
The authors acknowledge the contributions of Polly Marshall and Maxwell McCann in assembling input datasets, Silvia Renn and Chris Jochem for their support in methods development, and Edith Darin, Oliver Pannell, Sarchil Qader and Jolynn Schmidt who provided internal WorldPop and GRID3 peer reviews that helped to improve the datasets and their documentation. Tese data are an output of the WorldPop Research Group at the University of Southampton. Tis work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Ofce (INV-009579, formerly OPP1182425), and GRID3 COVID-19 Support Scale-up (INV-018067). Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network in the Columbia Climate School at Columbia University, and the Flowminder Foundation.
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Local EPrints ID: 473234
URI: http://eprints.soton.ac.uk/id/eprint/473234
ISSN: 2052-4463
PURE UUID: 9b927089-a1d6-4805-984e-4bc535748799
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Date deposited: 12 Jan 2023 18:08
Last modified: 17 Mar 2024 03:31
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