Exploring the urban gradient in population health: insights from satellite-derived urbanicity classes across multiple countries and years in sub-Saharan Africa.

epidemiology geographic information systems indices of health and disease and standardisation of rates maternal health public health

Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
10 2023
Historique:
received: 19 07 2023
accepted: 16 09 2023
medline: 30 10 2023
pubmed: 22 10 2023
entrez: 21 10 2023
Statut: ppublish

Résumé

The demographic, ecological and socioeconomic changes associated with urbanisation are linked to changes in disease incidence, health service provision and mortality. These effects are heterogeneous between and within urban areas, yet without a clear definition of what constitutes an 'urban' area, their measurement and comparison are constrained. The definitions used vary between countries and over time hindering analyses of the relationship between urbanisation and health outcomes, evaluation of policy actions and results in uncertainties in estimated differences. While a binary urban-rural designation fails to capture the complexities of the urban-rural continuum, satellite data augmented with models of population density and built-up areas offer an opportunity to develop an objective, comparable and continuous measure which captures urbanisation gradient at high spatial resolution. We examine the urban gradient within the context of population health. We compare the categorisation of urban and rural areas (defined by national statistical offices) used in household surveys in sub-Saharan Africa (SSA) to an urban-rural gradient derived from augmented satellite data within a geospatial framework. Using nine Demographic and Health Surveys (DHS) conducted between 2005 and 2019 in six SSA countries, we then assess the extent of misalignment between urbanicity based on DHS categorisation compared with a satellite-derived measure, while discussing the implications on the coverage of key maternal health indicators. The proposed indicator provides a useful supplement to country-specific urbanicity definitions and reveals new health dynamics along the rural-urban gradient. Satellite-derived urbanicity measures will need frequent updates to align with years when household surveys are conducted.

Identifiants

pubmed: 37865402
pii: bmjgh-2023-013471
doi: 10.1136/bmjgh-2023-013471
pmc: PMC10603412
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Peter M Macharia (PM)

Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium pmacharia@itg.be.
Population and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.

Jessie Pinchoff (J)

Social and Behavioral Sciences Research, Population Council, New York, New York, USA.

Cameron Taylor (C)

The DHS Program, ICF, Rockville, Maryland, USA.
Medicine and Health Sciences, University of Antwerp, Antwerpen, Belgium.

Lenka Beňová (L)

Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.

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