dgn-np:NP1057852.RAvdGgchJPr30gPZQPPzCztCmB9urAc6XbiQsm2oQ7lmQ130_provenance {
  dgn-np:NP1057852.RAvdGgchJPr30gPZQPPzCztCmB9urAc6XbiQsm2oQ7lmQ130_assertion dcterms:description "[A multi-assay algorithm (MAA) that includes the BED capture immunoassay, an avidity assay, CD4 cell count, and viral load was used to identify women who were vs. were not recently infected at the time of enrollment (MAA recent, N = 73; MAA non-recent, N = 2,488); a subset of the women in the MAA non-recent group known to have been HIV infected for at least 2 years before enrollment (known non-recent, N = 54).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ;
    wi:evidence dgn-void:source_evidence_literature ;
    sio:SIO_000772 miriam-pubmed:23460842 ;
    prov:wasDerivedFrom dgn-void:befree-2016 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-2016 pav:importedOn "2016-02-19"^^xsd:date .
  dgn-void:source_evidence_literature a eco:ECO_0000212 ;
    rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en ;
    rdfs:label "DisGeNET evidence - LITERATURE"@en .
}