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Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire

BACKGROUND: The objective of this study was to identify demographic, environmental and socioeconomic risk factors and spatial patterns of Plasmodium falciparum parasitaemia in a high endemicity area of Africa, and to specify how this information can facilitate improved malaria control at the distric...

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Autores principales: Raso, Giovanna, Silué, Kigbafori D, Vounatsou, Penelope, Singer, Burton H, Yapi, Ahoua, Tanner, Marcel, Utzinger, Jürg, N'Goran, Eliézer K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783037/
https://www.ncbi.nlm.nih.gov/pubmed/19906295
http://dx.doi.org/10.1186/1475-2875-8-252
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author Raso, Giovanna
Silué, Kigbafori D
Vounatsou, Penelope
Singer, Burton H
Yapi, Ahoua
Tanner, Marcel
Utzinger, Jürg
N'Goran, Eliézer K
author_facet Raso, Giovanna
Silué, Kigbafori D
Vounatsou, Penelope
Singer, Burton H
Yapi, Ahoua
Tanner, Marcel
Utzinger, Jürg
N'Goran, Eliézer K
author_sort Raso, Giovanna
collection PubMed
description BACKGROUND: The objective of this study was to identify demographic, environmental and socioeconomic risk factors and spatial patterns of Plasmodium falciparum parasitaemia in a high endemicity area of Africa, and to specify how this information can facilitate improved malaria control at the district level. METHODS: A questionnaire was administered to about 4,000 schoolchildren in 55 schools in western Côte d'Ivoire to determine children's socioeconomic status and their habit of sleeping under bed nets. Environmental data were obtained from satellite images, digitized ground maps and a second questionnaire addressed to school directors. Finger prick blood samples were collected and P. falciparum parasitaemia determined under a microscope using standardized, quality-controlled methods. Bayesian variogram models were utilized for spatial risk modelling and mapping of P. falciparum parasitaemia at non-sampled locations, assuming stationary and non-stationary underlying spatial dependence. RESULTS: Two-thirds of the schoolchildren were infected with P. falciparum and the mean parasitaemia among infected children was 959 parasites/μl of blood. Age, socioeconomic status, not sleeping under a bed net, coverage rate with bed nets and environmental factors (e.g., normalized difference vegetation index, rainfall, land surface temperature and living in close proximity to standing water) were significantly associated with the risk of P. falciparum parasitaemia. After accounting for spatial correlation, age, bed net coverage, rainfall during the main malaria transmission season and distance to rivers remained significant covariates. CONCLUSION: It is argued that a massive increase in bed net coverage, particularly in villages in close proximity to rivers, in concert with other control measures, is necessary to bring malaria endemicity down to intermediate or low levels.
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spelling pubmed-27830372009-11-26 Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire Raso, Giovanna Silué, Kigbafori D Vounatsou, Penelope Singer, Burton H Yapi, Ahoua Tanner, Marcel Utzinger, Jürg N'Goran, Eliézer K Malar J Research BACKGROUND: The objective of this study was to identify demographic, environmental and socioeconomic risk factors and spatial patterns of Plasmodium falciparum parasitaemia in a high endemicity area of Africa, and to specify how this information can facilitate improved malaria control at the district level. METHODS: A questionnaire was administered to about 4,000 schoolchildren in 55 schools in western Côte d'Ivoire to determine children's socioeconomic status and their habit of sleeping under bed nets. Environmental data were obtained from satellite images, digitized ground maps and a second questionnaire addressed to school directors. Finger prick blood samples were collected and P. falciparum parasitaemia determined under a microscope using standardized, quality-controlled methods. Bayesian variogram models were utilized for spatial risk modelling and mapping of P. falciparum parasitaemia at non-sampled locations, assuming stationary and non-stationary underlying spatial dependence. RESULTS: Two-thirds of the schoolchildren were infected with P. falciparum and the mean parasitaemia among infected children was 959 parasites/μl of blood. Age, socioeconomic status, not sleeping under a bed net, coverage rate with bed nets and environmental factors (e.g., normalized difference vegetation index, rainfall, land surface temperature and living in close proximity to standing water) were significantly associated with the risk of P. falciparum parasitaemia. After accounting for spatial correlation, age, bed net coverage, rainfall during the main malaria transmission season and distance to rivers remained significant covariates. CONCLUSION: It is argued that a massive increase in bed net coverage, particularly in villages in close proximity to rivers, in concert with other control measures, is necessary to bring malaria endemicity down to intermediate or low levels. BioMed Central 2009-11-11 /pmc/articles/PMC2783037/ /pubmed/19906295 http://dx.doi.org/10.1186/1475-2875-8-252 Text en Copyright ©2009 Raso et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Raso, Giovanna
Silué, Kigbafori D
Vounatsou, Penelope
Singer, Burton H
Yapi, Ahoua
Tanner, Marcel
Utzinger, Jürg
N'Goran, Eliézer K
Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title_full Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title_fullStr Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title_full_unstemmed Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title_short Spatial risk profiling of Plasmodium falciparum parasitaemia in a high endemicity area in Côte d'Ivoire
title_sort spatial risk profiling of plasmodium falciparum parasitaemia in a high endemicity area in côte d'ivoire
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783037/
https://www.ncbi.nlm.nih.gov/pubmed/19906295
http://dx.doi.org/10.1186/1475-2875-8-252
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