Evidence map›Paper›PMID 31346183›Full record

ArticleScientific data2019

A spatial database of health facilities managed by the public health sector in sub Saharan Africa.

Joseph Maina, Paul O Ouma, Peter M Macharia, Victor A Alegana, Benard Mitto, Ibrahima Socé Fall, Abdisalan M Noor, Robert W Snow, Emelda A Okiro

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed.

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  5. Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Joseph MainaPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-6000-7728
Paul O OumaPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Peter M MachariaPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-3410-1881
Victor A AleganaPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Benard MittoPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Ibrahima Socé FallWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Abdisalan M NoorGlobal Malaria Programme, World Health Organization, Geneva, Switzerland.
Robert W SnowPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Emelda A OkiroPopulation Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya. eokiro@kemri-wellcome.org.ORCID http://orcid.org/0000-0001-9543-8360

Funding

Wellcome Trust 103602Wellcome Trust 201866Wellcome Trust 201866/Z/16/ZWellcome Trust 203077Wellcome Trust 211208Wellcome Trust 211208/Z/18/ZWorld Health Organization 001
6 · The paper itself

Abstract

Health facilities form a central component of health systems, providing curative and preventative services and structured to allow referral through a pyramid of increasingly complex service provision. Access to health care is a complex and multidimensional concept, however, in its most narrow sense, it refers to geographic availability. Linking health facilities to populations has been a traditional per capita index of heath care coverage, however, with locations of health facilities and higher resolution population data, Geographic Information Systems allow for a more refined metric of health access, define geographic inequalities in service provision and inform planning. Maximizing the value of spatial heath access requires a complete census of providers and their locations. To-date there has not been a single, geo-referenced and comprehensive public health facility database for sub-Saharan Africa. We have assembled national master health facility lists from a variety of government and non-government sources from 50 countries and islands in sub Saharan Africa and used multiple geocoding methods to provide a comprehensive spatial inventory of 98,745 public health facilities.

Indexed as

Geographic MappingPublic HealthAfrica South of the SaharaGeographic Information SystemsHealth Facilities

Identifiers

PMID31346183
PMCPMC6658526

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.