A consolidated and geolocated facility list in Senegal from triangulating secondary data.

Autor: Gueye DM; Institut de Recherche en Santé de Surveillance Epidémiologique et de Formations (IRESSEF), Dakar, Senegal., Ly AB; Centre des Opérations d'Urgence Sanitaire (COUS), Ministère de la Santé et de l'Action Sociale (MSAS), Dakar, Senegal., Gueye B; Direction de la Planification, de la Recherche et des Statistiques (DPRS), MSAS, Dakar, Senegal., Ndour PI; Direction de la Planification, de la Recherche et des Statistiques (DPRS), MSAS, Dakar, Senegal.; Agence Nationale de la Démographie et de la Statistique (ANSD), Dakar, Senegal., Fullman N; Exemplars in Global Health, Gates Ventures, Seattle, Washington, USA. nancy.fullman@gatesventures.com.; Department of Global Health, University of Washington, Seattle, Washington, USA. nancy.fullman@gatesventures.com., Liu PY; Exemplars in Global Health, Gates Ventures, Seattle, Washington, USA., Mbaye K; Agence Nationale de la Démographie et de la Statistique (ANSD), Dakar, Senegal., Diallo A; Expanded Programme on Immunisation Unit, WHO Country Office Senegal, Dakar, Senegal., Diatta I; Centre des Opérations d'Urgence Sanitaire (COUS), Ministère de la Santé et de l'Action Sociale (MSAS), Dakar, Senegal., Diatta SA; Institut de Recherche en Santé de Surveillance Epidémiologique et de Formations (IRESSEF), Dakar, Senegal., Mane MM; Institut de Recherche en Santé de Surveillance Epidémiologique et de Formations (IRESSEF), Dakar, Senegal., Ikilezi G; Exemplars in Global Health, Gates Ventures, Seattle, Washington, USA., Sarr M; Institut de Recherche en Santé de Surveillance Epidémiologique et de Formations (IRESSEF), Dakar, Senegal.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Jan 24; Vol. 11 (1), pp. 119. Date of Electronic Publication: 2024 Jan 24.
DOI: 10.1038/s41597-024-02968-z
Abstrakt: Having a geolocated list of all facilities in a country - a "master facility list" (MFL) - can provide critical inputs for health program planning and implementation. To the best of our knowledge, Senegal has never had a centralized MFL, though many data sources currently exist within the broader Senegalese data landscape that could be leveraged and consolidated into a single database - a critical first step toward building a full MFL. We collated 12,965 facility observations from 16 separate datasets and lists in Senegal, and applied matching algorithms, manual checking and revisions as needed, and verification processes to identify unique facilities and triangulate corresponding GPS coordinates. Our resulting consolidated facility list has a total of 4,685 facilities, with 2,423 having at least one set of GPS coordinates. Developing approaches to leverage existing data toward future MFL establishment can help bridge data demands and inform more targeted approaches for completing a full facility census based on areas and facility types with the lowest coverage. Going forward, it is crucial to ensure routine updates of current facility lists, and to strengthen government-led mechanisms around such data collection demands and the need for timely data for health decision-making.
(© 2024. The Author(s).)
Databáze: MEDLINE
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