Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity

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Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity. / Kreuels, Benno; Kobbe, Robin; Adjei, Samuel; Kreuzberg, Christina; von Reden, Claudia; Bäter, Kathrin; Klug, Stefan; Busch, Wibke; Adjei, Ohene; May, Jürgen.

in: J INFECT DIS, Jahrgang 197, Nr. 1, 01.01.2008, S. 85-93.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Kreuels, B, Kobbe, R, Adjei, S, Kreuzberg, C, von Reden, C, Bäter, K, Klug, S, Busch, W, Adjei, O & May, J 2008, 'Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity', J INFECT DIS, Jg. 197, Nr. 1, S. 85-93. https://doi.org/10.1086/524066

APA

Kreuels, B., Kobbe, R., Adjei, S., Kreuzberg, C., von Reden, C., Bäter, K., Klug, S., Busch, W., Adjei, O., & May, J. (2008). Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity. J INFECT DIS, 197(1), 85-93. https://doi.org/10.1086/524066

Vancouver

Bibtex

@article{4ed00b8c07e24d3c9a5568241b689daf,
title = "Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity",
abstract = "BACKGROUND: In sub-Saharan Africa, malaria is a leading cause of morbidity and mortality among young children. Detailed knowledge of spatial variation of malaria epidemiology and associated risk factors is important for planning and evaluating malaria-control measures.METHODS: The spatial variation of malaria incidences and socioeconomic factors were assessed over 21 months, from January 2003 to September 2005, in 535 children from 9 villages of a small rural area with high Plasmodium falciparum transmission in Ghana. Household positions were mapped by use of a global positioning system, and the spatial effects on malaria rates were assessed by means of ecological analyses and bivariate Poisson regression controlling for possible confounding factors.RESULTS: Malaria incidence was surprisingly heterogeneous between villages, and ecological analyses showed strong correlations with village area (R(2) = 0.74; P = .003) and population size (R(2) = 0.68; P = .006). Malaria risk was affected by a number of socioeconomic factors. Poisson regression showed an independent linear rate reduction with increasing distance between children's households and the fringe of the forest.CONCLUSIONS: The exact location of households in villages is an independent and important factor for the variation of malaria incidence in children from high-transmission areas. This fact should be considered in the planning of intervention trials and in spatial targeting of malaria interventions at a local level.",
keywords = "Animals, Endemic Diseases, Female, Geographic Information Systems, Ghana, Humans, Incidence, Infant, Malaria, Falciparum, Male, Prospective Studies, Rural Population, Topography, Medical, Trees",
author = "Benno Kreuels and Robin Kobbe and Samuel Adjei and Christina Kreuzberg and {von Reden}, Claudia and Kathrin B{\"a}ter and Stefan Klug and Wibke Busch and Ohene Adjei and J{\"u}rgen May",
year = "2008",
month = jan,
day = "1",
doi = "10.1086/524066",
language = "English",
volume = "197",
pages = "85--93",
journal = "J INFECT DIS",
issn = "0022-1899",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Spatial variation of malaria incidence in young children from a geographically homogeneous area with high endemicity

AU - Kreuels, Benno

AU - Kobbe, Robin

AU - Adjei, Samuel

AU - Kreuzberg, Christina

AU - von Reden, Claudia

AU - Bäter, Kathrin

AU - Klug, Stefan

AU - Busch, Wibke

AU - Adjei, Ohene

AU - May, Jürgen

PY - 2008/1/1

Y1 - 2008/1/1

N2 - BACKGROUND: In sub-Saharan Africa, malaria is a leading cause of morbidity and mortality among young children. Detailed knowledge of spatial variation of malaria epidemiology and associated risk factors is important for planning and evaluating malaria-control measures.METHODS: The spatial variation of malaria incidences and socioeconomic factors were assessed over 21 months, from January 2003 to September 2005, in 535 children from 9 villages of a small rural area with high Plasmodium falciparum transmission in Ghana. Household positions were mapped by use of a global positioning system, and the spatial effects on malaria rates were assessed by means of ecological analyses and bivariate Poisson regression controlling for possible confounding factors.RESULTS: Malaria incidence was surprisingly heterogeneous between villages, and ecological analyses showed strong correlations with village area (R(2) = 0.74; P = .003) and population size (R(2) = 0.68; P = .006). Malaria risk was affected by a number of socioeconomic factors. Poisson regression showed an independent linear rate reduction with increasing distance between children's households and the fringe of the forest.CONCLUSIONS: The exact location of households in villages is an independent and important factor for the variation of malaria incidence in children from high-transmission areas. This fact should be considered in the planning of intervention trials and in spatial targeting of malaria interventions at a local level.

AB - BACKGROUND: In sub-Saharan Africa, malaria is a leading cause of morbidity and mortality among young children. Detailed knowledge of spatial variation of malaria epidemiology and associated risk factors is important for planning and evaluating malaria-control measures.METHODS: The spatial variation of malaria incidences and socioeconomic factors were assessed over 21 months, from January 2003 to September 2005, in 535 children from 9 villages of a small rural area with high Plasmodium falciparum transmission in Ghana. Household positions were mapped by use of a global positioning system, and the spatial effects on malaria rates were assessed by means of ecological analyses and bivariate Poisson regression controlling for possible confounding factors.RESULTS: Malaria incidence was surprisingly heterogeneous between villages, and ecological analyses showed strong correlations with village area (R(2) = 0.74; P = .003) and population size (R(2) = 0.68; P = .006). Malaria risk was affected by a number of socioeconomic factors. Poisson regression showed an independent linear rate reduction with increasing distance between children's households and the fringe of the forest.CONCLUSIONS: The exact location of households in villages is an independent and important factor for the variation of malaria incidence in children from high-transmission areas. This fact should be considered in the planning of intervention trials and in spatial targeting of malaria interventions at a local level.

KW - Animals

KW - Endemic Diseases

KW - Female

KW - Geographic Information Systems

KW - Ghana

KW - Humans

KW - Incidence

KW - Infant

KW - Malaria, Falciparum

KW - Male

KW - Prospective Studies

KW - Rural Population

KW - Topography, Medical

KW - Trees

U2 - 10.1086/524066

DO - 10.1086/524066

M3 - SCORING: Journal article

C2 - 18171290

VL - 197

SP - 85

EP - 93

JO - J INFECT DIS

JF - J INFECT DIS

SN - 0022-1899

IS - 1

ER -