Using ante-natal clinic prevalence data to monitor temporal changes in malaria incidence in a humanitarian setting in the Democratic Republic of Congo.

Hdl Handle:
http://hdl.handle.net/10144/619288
Title:
Using ante-natal clinic prevalence data to monitor temporal changes in malaria incidence in a humanitarian setting in the Democratic Republic of Congo.
Authors:
Hellewell, J; Walker, P; Ghani, A; Rao, B; Churcher, TS
Journal:
Malaria journal
Abstract:
The 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.
Publisher:
BMC
Issue Date:
29-Aug-2018
URI:
http://hdl.handle.net/10144/619288
DOI:
10.1186/s12936-018-2460-9
PubMed ID:
30157850
Submitted date:
2018-10-04
Language:
en
ISSN:
1475-2875
Appears in Collections:
Malaria

Full metadata record

DC FieldValue Language
dc.contributor.authorHellewell, Jen
dc.contributor.authorWalker, Pen
dc.contributor.authorGhani, Aen
dc.contributor.authorRao, Ben
dc.contributor.authorChurcher, TSen
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.en
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

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