An index of access to essential infrastructure to identify where physical distancing is impossible.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
14 06 2022
Historique:
received: 29 09 2021
accepted: 28 04 2022
entrez: 14 6 2022
pubmed: 15 6 2022
medline: 18 6 2022
Statut: epublish

Résumé

To identify areas at highest risk of infectious disease transmission in Africa, we develop a physical distancing index (PDI) based on the share of households without access to private toilets, water, space, transportation, and communication technology and weight it with population density. Our results highlight that in addition to improving health systems, countries across Africa, especially in the western part of Africa, need to address the lack of essential domestic infrastructure. Missing infrastructure prevents societies from limiting the spread of communicable diseases by undermining the effectiveness of governmental regulations on physical distancing. We also provide high-resolution risk maps that show which regions are most limited in protecting themselves. We find considerable spatial heterogeneity of the PDI within countries and show that it is highly correlated with detected COVID-19 cases. Governments could pay specific attention to these areas to target limited resources more precisely to prevent disease transmission.

Identifiants

pubmed: 35701421
doi: 10.1038/s41467-022-30812-8
pii: 10.1038/s41467-022-30812-8
pmc: PMC9198068
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3355

Informations de copyright

© 2022. The Author(s).

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Auteurs

Isabel Günther (I)

Development Economics Group, ETH Zürich, Zürich, Switzerland.
NADEL - Center for Development and Cooperation, ETH Zürich, Zürich, Switzerland.

Kenneth Harttgen (K)

Development Economics Group, ETH Zürich, Zürich, Switzerland. kenneth.harttgen@nadel.ethz.ch.
NADEL - Center for Development and Cooperation, ETH Zürich, Zürich, Switzerland. kenneth.harttgen@nadel.ethz.ch.

Johannes Seiler (J)

NADEL - Center for Development and Cooperation, ETH Zürich, Zürich, Switzerland.
Department of Statistics, University of Innsbruck, Innsbruck, Austria.

Jürg Utzinger (J)

Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
University of Basel, Basel, Switzerland.

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Classifications MeSH