Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya

Epidemic detection algorithms are being increasingly recommended for malaria surveillance in sub-Saharan Africa. We present the results of applying three simple epidemic detection techniques to routinely collected longitudinal pediatric malaria admissions data from three health facilities in the hig...

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Main Authors: Simon I. Hay, Milka Simba, Millie Busolo, Abdisalan M. Noor, Helen L. Guyatt, Sam A. Ochola, Robert W. Snow
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2002-06-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/8/6/01-0310_article
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spelling doaj-edb7a25c4908457ca25c011940c869732020-11-24T21:45:54ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592002-06-018655556210.3201/eid0806.010310Defining and Detecting Malaria Epidemics in the Highlands of Western KenyaSimon I. HayMilka SimbaMillie BusoloAbdisalan M. NoorHelen L. GuyattSam A. OcholaRobert W. SnowEpidemic detection algorithms are being increasingly recommended for malaria surveillance in sub-Saharan Africa. We present the results of applying three simple epidemic detection techniques to routinely collected longitudinal pediatric malaria admissions data from three health facilities in the highlands of western Kenya in the late 1980s and 1990s. The algorithms tested were chosen because they could be feasibly implemented at the health facility level in sub-Saharan Africa. Assumptions of these techniques about the normal distribution of admissions data and the confidence intervals used to define normal years were also investigated. All techniques identified two “epidemic” years in one of the sites. The untransformed Cullen method with standard confidence intervals detected the two “epidemic” years in the remaining two sites but also triggered many false alarms. The performance of these methods is discussed and comments made about their appropriateness for the highlands of western Kenyahttps://wwwnc.cdc.gov/eid/article/8/6/01-0310_articleearly detectionepidemichighlandsKenyamalariaPlasmodium falciparum
collection DOAJ
language English
format Article
sources DOAJ
author Simon I. Hay
Milka Simba
Millie Busolo
Abdisalan M. Noor
Helen L. Guyatt
Sam A. Ochola
Robert W. Snow
spellingShingle Simon I. Hay
Milka Simba
Millie Busolo
Abdisalan M. Noor
Helen L. Guyatt
Sam A. Ochola
Robert W. Snow
Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
Emerging Infectious Diseases
early detection
epidemic
highlands
Kenya
malaria
Plasmodium falciparum
author_facet Simon I. Hay
Milka Simba
Millie Busolo
Abdisalan M. Noor
Helen L. Guyatt
Sam A. Ochola
Robert W. Snow
author_sort Simon I. Hay
title Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
title_short Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
title_full Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
title_fullStr Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
title_full_unstemmed Defining and Detecting Malaria Epidemics in the Highlands of Western Kenya
title_sort defining and detecting malaria epidemics in the highlands of western kenya
publisher Centers for Disease Control and Prevention
series Emerging Infectious Diseases
issn 1080-6040
1080-6059
publishDate 2002-06-01
description Epidemic detection algorithms are being increasingly recommended for malaria surveillance in sub-Saharan Africa. We present the results of applying three simple epidemic detection techniques to routinely collected longitudinal pediatric malaria admissions data from three health facilities in the highlands of western Kenya in the late 1980s and 1990s. The algorithms tested were chosen because they could be feasibly implemented at the health facility level in sub-Saharan Africa. Assumptions of these techniques about the normal distribution of admissions data and the confidence intervals used to define normal years were also investigated. All techniques identified two “epidemic” years in one of the sites. The untransformed Cullen method with standard confidence intervals detected the two “epidemic” years in the remaining two sites but also triggered many false alarms. The performance of these methods is discussed and comments made about their appropriateness for the highlands of western Kenya
topic early detection
epidemic
highlands
Kenya
malaria
Plasmodium falciparum
url https://wwwnc.cdc.gov/eid/article/8/6/01-0310_article
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