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dc.contributor.authorHellewell, J
dc.contributor.authorWalker, P
dc.contributor.authorGhani, A
dc.contributor.authorRao, B
dc.contributor.authorChurcher, TS
dc.date.accessioned2018-10-16T16:56:42Z
dc.date.available2018-10-16T16:56:42Z
dc.date.issued2018-08-29
dc.date.submitted2018-10-04
dc.identifier.citationUsing ante-natal clinic prevalence data to monitor temporal changes in malaria incidence in a humanitarian setting in the Democratic Republic of Congo. 2018, 17 (1):312 Malar. J.en
dc.identifier.issn1475-2875
dc.identifier.pmid30157850
dc.identifier.doi10.1186/s12936-018-2460-9
dc.identifier.urihttp://hdl.handle.net/10144/619288
dc.description.abstractThe number of clinical cases of malaria is often recorded in resource constrained or conflict settings as a proxy for disease burden. Interpreting case count data in areas of humanitarian need is challenging due to uncertainties in population size caused by security concerns, resource constraints and population movement. Malaria prevalence in women visiting ante-natal care (ANC) clinics has the potential to be an easier and more accurate metric for malaria surveillance that is unbiased by population size if malaria testing is routinely conducted irrespective of symptoms.
dc.language.isoenen
dc.publisherBMCen
dc.rightsPublished by BioMed Central, [url]http://www.malariajournal.com/[/url] Archived on this site by Open Access permissionen
dc.titleUsing ante-natal clinic prevalence data to monitor temporal changes in malaria incidence in a humanitarian setting in the Democratic Republic of Congo.en
dc.identifier.journalMalaria journalen
refterms.dateFOA2019-03-04T14:11:06Z
html.description.abstractThe number of clinical cases of malaria is often recorded in resource constrained or conflict settings as a proxy for disease burden. Interpreting case count data in areas of humanitarian need is challenging due to uncertainties in population size caused by security concerns, resource constraints and population movement. Malaria prevalence in women visiting ante-natal care (ANC) clinics has the potential to be an easier and more accurate metric for malaria surveillance that is unbiased by population size if malaria testing is routinely conducted irrespective of symptoms.


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