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1.
Emerg Infect Dis ; 8(6): 543-8, 2002 Jun.
Article in English | MEDLINE | ID: mdl-12023907

ABSTRACT

Malaria in the highlands of Kenya is traditionally regarded as unstable and limited by low temperature. Brief warm periods may facilitate malaria transmission and are therefore able to generate epidemic conditions in immunologically naive human populations living at high altitudes. The adult:child ratio (ACR) of malaria admissions is a simple tool we have used to assess the degree of functional immunity in the catchment population of a health facility. Examples of ACR are collected from inpatient admission data at facilities with a range of malaria endemicities in Kenya. Two decades of inpatient malaria admission data from three health facilities in a high-altitude area of western Kenya do not support the canonical view of unstable transmission. The malaria of the region is best described as seasonal and meso-endemic. We discuss the implications for malaria control options in the Kenyan highlands.


Subject(s)
Malaria, Falciparum/epidemiology , Adolescent , Adult , Age Factors , Altitude , Animals , Child , Humans , Kenya/epidemiology , Logistic Models , Longitudinal Studies , Malaria, Falciparum/transmission , Plasmodium falciparum/isolation & purification , Retrospective Studies , Seasons
2.
Emerg Infect Dis ; 8(6): 555-62, 2002 Jun.
Article in English | MEDLINE | ID: mdl-12023909

ABSTRACT

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.


Subject(s)
Algorithms , Disease Outbreaks , Epidemiologic Methods , Malaria, Falciparum/epidemiology , Plasmodium falciparum/isolation & purification , Adolescent , Altitude , Animals , Child , Child, Preschool , Confidence Intervals , Humans , Infant , Kenya/epidemiology , Rain , Retrospective Studies , Seasons
3.
Emerg. infect. dis ; 8(6): 555-562, 2002.
Article in English | AIM (Africa) | ID: biblio-1261614

ABSTRACT

"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 are made about their appropriateness for the highlands of western Kenya."


Subject(s)
Disease/epidemiology , Malaria
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