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Subnational variations in the quality of household survey data in sub-Saharan Africa

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Titel: Subnational variations in the quality of household survey data in sub-Saharan Africa
Autoren: Valentin Seidler, Edson C. Utazi, Amelia B. Finaret, Sebastian Luckeneder, Gregor Zens, Maksym Bodarenko, Abigail W. Smith, Sarah E. K. Bradley, Andrew J. Tatem, Patrick Webb
Quelle: Nature Communications, Vol 16, Iss 1, Pp 1-12 (2025)
Verlagsinformationen: Nature Portfolio, 2025.
Publikationsjahr: 2025
Bestand: LCC:Science
Schlagwörter: Science
Beschreibung: Abstract Nationally representative household surveys collect geocoded data that are vital to tackling health and other development challenges in sub-Saharan Africa. Scholars and practitioners generally assume uniform data quality but subnational variation of errors in household data has never been investigated at high spatial resolution. Here, we explore within-country variation in the quality of most recent household surveys for 35 African countries at 5 × 5 km resolution and district levels. Findings show a striking heterogeneity in the subnational distribution of sampling and measurement errors. Data quality degrades with greater distance from settlements, and missing data as well as imprecision of estimates add to quality problems that can result in vulnerable remote populations receiving less than optimal services and needed resources. Our easy-to-access geospatial estimates of survey data quality highlight the need to invest in better targeting of household surveys in remote areas.
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: English
ISSN: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-025-58776-5
Zugangs-URL: https://doaj.org/article/d139cff3d56f4300b0bc071eb2ce7b9c
Dokumentencode: edsdoj.139cff3d56f4300b0bc071eb2ce7b9c
Datenbank: Directory of Open Access Journals
Beschreibung
Abstract:Abstract Nationally representative household surveys collect geocoded data that are vital to tackling health and other development challenges in sub-Saharan Africa. Scholars and practitioners generally assume uniform data quality but subnational variation of errors in household data has never been investigated at high spatial resolution. Here, we explore within-country variation in the quality of most recent household surveys for 35 African countries at 5 × 5 km resolution and district levels. Findings show a striking heterogeneity in the subnational distribution of sampling and measurement errors. Data quality degrades with greater distance from settlements, and missing data as well as imprecision of estimates add to quality problems that can result in vulnerable remote populations receiving less than optimal services and needed resources. Our easy-to-access geospatial estimates of survey data quality highlight the need to invest in better targeting of household surveys in remote areas.
ISSN:20411723
DOI:10.1038/s41467-025-58776-5