Defining Clinical Malaria: The Specificity and Incidence of Endpoints from Active and Passive Surveillance of Children in Rural Kenya

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dc.contributor.author Olotu, A.
dc.contributor.author Fegan, G.
dc.contributor.author Williams, T.N.
dc.contributor.author Sasi, P.
dc.contributor.author Ogada, E.
dc.contributor.author Bauni, E.
dc.contributor.author Wambua, J.
dc.contributor.author Marsh, K.
dc.contributor.author Borrmann, S.
dc.contributor.author Bejon, P.
dc.date.accessioned 2013-02-08T12:56:58Z
dc.date.available 2013-02-08T12:56:58Z
dc.date.issued 2010
dc.identifier.issn 0015569
dc.identifier.uri http://hdl.handle.net/123456789/238
dc.description.abstract Background: Febrile malaria is the most common clinical manifestation of P. falciparum infection, and is often the primary endpoint in clinical trials and epidemiological studies. Subjective and objective fevers are both used to define the endpoint, but have not been carefully compared, and the relative incidence of clinical malaria by active and passive case detection is unknown. Methods: We analyzed data from cohorts under active and passive surveillance, including 19,462 presentations with fever and 5,551 blood tests for asymptomatic parasitaemia. A logistic regression model was used to calculate Malaria Attributable Fractions (MAFs) for various case definitions. Incidences of febrile malaria by active and passive surveillance were compared in a subset of children matched for age and location. Results: Active surveillance identified three times the incidence of clinical malaria as passive surveillance in a subset of children matched for age and location. Objective fever (temperature$37.5uC) gave consistently higher MAFs than case definitions based on subjective fever. Conclusion: The endpoints from active and passive surveillance have high specificity, but the incidence of endpoints is lower on passive surveillance. Subjective fever had low specificity and should not be used in primary endpoint. Passive surveillance will reduce the power of clinical trials but may cost-effectively deliver acceptable sensitivity in studies of large populations. en_GB
dc.language.iso en en_GB
dc.publisher PLoS one en_GB
dc.relation.ispartofseries PLoS ONE;doi:10.1371/journal.pone.0015569
dc.subject Clinical Malaria en_GB
dc.subject Active Surveillance en_GB
dc.subject Passive Surveillance en_GB
dc.subject Kenya en_GB
dc.title Defining Clinical Malaria: The Specificity and Incidence of Endpoints from Active and Passive Surveillance of Children in Rural Kenya en_GB
dc.type Article en_GB


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