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Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya

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Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya. / Chamberlain, Heather R.; Macharia, Peter M; Tatem, Andrew J.
In: Bulletin of the World Health Organization, Vol. 100, No. 9, 01.09.2022, p. 562-569.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chamberlain, HR, Macharia, PM & Tatem, AJ 2022, 'Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya', Bulletin of the World Health Organization, vol. 100, no. 9, pp. 562-569. https://doi.org/10.2471/blt.21.287572

APA

Chamberlain, H. R., Macharia, P. M., & Tatem, A. J. (2022). Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya. Bulletin of the World Health Organization, 100(9), 562-569. https://doi.org/10.2471/blt.21.287572

Vancouver

Chamberlain HR, Macharia PM, Tatem AJ. Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya. Bulletin of the World Health Organization. 2022 Sept 1;100(9):562-569. Epub 2022 Jun 22. doi: 10.2471/blt.21.287572

Author

Chamberlain, Heather R. ; Macharia, Peter M ; Tatem, Andrew J. / Mapping urban physical distancing constraints, sub-Saharan Africa : a case study from Kenya. In: Bulletin of the World Health Organization. 2022 ; Vol. 100, No. 9. pp. 562-569.

Bibtex

@article{323027bea7584b2cb06a913c47b9b8ae,
title = "Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya",
abstract = "With the onset of the coronavirus disease 2019 (COVID-19) pandemic, public health measures such as physical distancing were recommended to reduce transmission of the virus causing the disease. However, the same approach in all areas, regardless of context, may lead to measures being of limited effectiveness and having unforeseen negative consequences, such as loss of livelihoods and food insecurity. A prerequisite to planning and implementing effective, context-appropriate measures to slow community transmission is an understanding of any constraints, such as the locations where physical distancing would not be possible. Focusing on sub-Saharan Africa, we outline and discuss challenges that are faced by residents of urban informal settlements in the ongoing COVID-19 pandemic. We describe how new geospatial data sets can be integrated to provide more detailed information about local constraints on physical distancing and can inform planning of alternative ways to reduce transmission of COVID-19 between people. We include a case study for Nairobi County, Kenya, with mapped outputs which illustrate the intra-urban variation in the feasibility of physical distancing and the expected difficulty for residents of many informal settlement areas. Our examples demonstrate the potential of new geospatial data sets to provide insights and support to policy-making for public health measures, including COVID-19.",
author = "Chamberlain, {Heather R.} and Macharia, {Peter M} and Tatem, {Andrew J.}",
year = "2022",
month = sep,
day = "1",
doi = "10.2471/blt.21.287572",
language = "English",
volume = "100",
pages = "562--569",
journal = "Bulletin of the World Health Organization",
issn = "0042-9686",
publisher = "World Health Organization",
number = "9",

}

RIS

TY - JOUR

T1 - Mapping urban physical distancing constraints, sub-Saharan Africa

T2 - a case study from Kenya

AU - Chamberlain, Heather R.

AU - Macharia, Peter M

AU - Tatem, Andrew J.

PY - 2022/9/1

Y1 - 2022/9/1

N2 - With the onset of the coronavirus disease 2019 (COVID-19) pandemic, public health measures such as physical distancing were recommended to reduce transmission of the virus causing the disease. However, the same approach in all areas, regardless of context, may lead to measures being of limited effectiveness and having unforeseen negative consequences, such as loss of livelihoods and food insecurity. A prerequisite to planning and implementing effective, context-appropriate measures to slow community transmission is an understanding of any constraints, such as the locations where physical distancing would not be possible. Focusing on sub-Saharan Africa, we outline and discuss challenges that are faced by residents of urban informal settlements in the ongoing COVID-19 pandemic. We describe how new geospatial data sets can be integrated to provide more detailed information about local constraints on physical distancing and can inform planning of alternative ways to reduce transmission of COVID-19 between people. We include a case study for Nairobi County, Kenya, with mapped outputs which illustrate the intra-urban variation in the feasibility of physical distancing and the expected difficulty for residents of many informal settlement areas. Our examples demonstrate the potential of new geospatial data sets to provide insights and support to policy-making for public health measures, including COVID-19.

AB - With the onset of the coronavirus disease 2019 (COVID-19) pandemic, public health measures such as physical distancing were recommended to reduce transmission of the virus causing the disease. However, the same approach in all areas, regardless of context, may lead to measures being of limited effectiveness and having unforeseen negative consequences, such as loss of livelihoods and food insecurity. A prerequisite to planning and implementing effective, context-appropriate measures to slow community transmission is an understanding of any constraints, such as the locations where physical distancing would not be possible. Focusing on sub-Saharan Africa, we outline and discuss challenges that are faced by residents of urban informal settlements in the ongoing COVID-19 pandemic. We describe how new geospatial data sets can be integrated to provide more detailed information about local constraints on physical distancing and can inform planning of alternative ways to reduce transmission of COVID-19 between people. We include a case study for Nairobi County, Kenya, with mapped outputs which illustrate the intra-urban variation in the feasibility of physical distancing and the expected difficulty for residents of many informal settlement areas. Our examples demonstrate the potential of new geospatial data sets to provide insights and support to policy-making for public health measures, including COVID-19.

U2 - 10.2471/blt.21.287572

DO - 10.2471/blt.21.287572

M3 - Journal article

C2 - 36062248

VL - 100

SP - 562

EP - 569

JO - Bulletin of the World Health Organization

JF - Bulletin of the World Health Organization

SN - 0042-9686

IS - 9

ER -