Defining clinical malaria: the specificity and incidence of endpoints from active and passive surveillance of children in rural Kenya
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 relat...
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| Hauptverfasser: | , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
December 16, 2010
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| In: |
PLOS ONE
Year: 2010, Jahrgang: 5, Heft: 12, Pages: 1-8 |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0015569 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1371/journal.pone.0015569 Verlag, lizenzpflichtig, Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0015569 
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| Verfasserangaben: | Ally Olotu, Gregory Fegan, Thomas N. Williams, Philip Sasi, Edna Ogada, Evasius Bauni, Juliana Wambua, Kevin Marsh, Steffen Borrmann, Philip Bejon |
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| 245 | 1 | 0 | |a Defining clinical malaria |b the specificity and incidence of endpoints from active and passive surveillance of children in rural Kenya |c Ally Olotu, Gregory Fegan, Thomas N. Williams, Philip Sasi, Edna Ogada, Evasius Bauni, Juliana Wambua, Kevin Marsh, Steffen Borrmann, Philip Bejon |
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| 520 | |a 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≥37.5°C) 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. | ||
| 650 | 4 | |a Children | |
| 650 | 4 | |a Disease surveillance | |
| 650 | 4 | |a Epidemiology | |
| 650 | 4 | |a Fevers | |
| 650 | 4 | |a Infectious disease surveillance | |
| 650 | 4 | |a Malaria | |
| 650 | 4 | |a Malarial parasites | |
| 650 | 4 | |a Medical risk factors | |
| 700 | 1 | |a Fegan, Gregory |e VerfasserIn |4 aut | |
| 700 | 1 | |a Williams, Thomas N. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Sasi, Philip |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ogada, Edna |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bauni, Evasius |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wambua, Juliana |e VerfasserIn |4 aut | |
| 700 | 1 | |a Marsh, Kevin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Borrmann, Steffen |d 1970- |e VerfasserIn |0 (DE-588)12075293X |0 (DE-627)704966425 |0 (DE-576)29236900X |4 aut | |
| 700 | 1 | |a Bejon, Philip |e VerfasserIn |4 aut | |
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