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Record linkage for Routinely Collected Health Data in an African Health Information Exchange

International Journal for Population Data Science(2023)10.23889/ijpds.v8i1.1771Source: DataRank Database

Record linkage for Routinely Collected Health Data in an African Health Information Exchange is a research paper published in International Journal for Population Data Science (2023). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (20)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Alexa Heekes ORCID,Mariette Smith ORCID,Andrew Boulle ORCID,Nicki Tiffin ORCID,Themba Mutemaringa ORCID

Live enrichment

PubMed:37636832

National Institutes of Health

Grant: 5R01HD080465-02

B positive_A population based evaluation of expanded ART access in pregnancy

National Institutes of Health

Grant: 5U24HG006941-07

H3ABioNet: informatics solutions for H3Africa

Wellcome Trust

Grant: 203135

Centre for Infectious Diseases Research in Africa (CIDRI-Africa)

National Institutes of Health

Grant: 5U01AI069911-08

East Africa IeDEA Regional Consortium

goldLicense: cc-by

publisherhttps://ijpds.org/article/download/1771/4156

publisherhttps://ijpds.org/article/download/1771/4157

publisherhttps://ijpds.org/article/download/1771/4207

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10448229/pdf/ijpds-08-1771.pdf

repositoryhttps://doaj.org/article/0dc3191abe20485aa819f6f4222ae235

Fields of Study

03 medical and health sciences0305 other medical science

Keywords

Demography. Population. Vital eventsHealth information systemsHealth information exchangeBioinformaticsPopulation studiesBlack PeopleHealth dataData Accuracyroutine health dataSouth AfricaAfricaHumansHB848-3697global SouthAlgorithmsdata linkagePopulation Data ScienceRoutinely Collected Health Data