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Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire.
Parasit Vectors. 2016 09 07; 9(1):494.PV

Abstract

BACKGROUND

In Côte d'Ivoire, malaria remains a major public health issue, and thus a priority to be tackled. The aim of this study was to identify spatially explicit indicators of Plasmodium falciparum infection among school-aged children and to undertake a model-based spatial prediction of P. falciparum infection risk using environmental predictors.

METHODS

A cross-sectional survey was conducted, including parasitological examinations and interviews with more than 5,000 children from 93 schools across Côte d'Ivoire. A finger-prick blood sample was obtained from each child to determine Plasmodium species-specific infection and parasitaemia using Giemsa-stained thick and thin blood films. Household socioeconomic status was assessed through asset ownership and household characteristics. Children were interviewed for preventive measures against malaria. Environmental data were gathered from satellite images and digitized maps. A Bayesian geostatistical stochastic search variable selection procedure was employed to identify factors related to P. falciparum infection risk. Bayesian geostatistical logistic regression models were used to map the spatial distribution of P. falciparum infection and to predict the infection prevalence at non-sampled locations via Bayesian kriging.

RESULTS

Complete data sets were available from 5,322 children aged 5-16 years across Côte d'Ivoire. P. falciparum was the predominant species (94.5 %). The Bayesian geostatistical variable selection procedure identified land cover and socioeconomic status as important predictors for infection risk with P. falciparum. Model-based prediction identified high P. falciparum infection risk in the north, central-east, south-east, west and south-west of Côte d'Ivoire. Low-risk areas were found in the south-eastern area close to Abidjan and the south-central and west-central part of the country.

CONCLUSIONS

The P. falciparum infection risk and related uncertainty estimates for school-aged children in Côte d'Ivoire represent the most up-to-date malaria risk maps. These tools can be used for spatial targeting of malaria control interventions.

Authors+Show Affiliations

Unité de Formation et de Recherche Sciences de la Nature, Université Nangui Abrogoua, 02 BP 801, Abidjan 02, Côte d'Ivoire. Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland. Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, 22 BP 522, Abidjan 22, Côte d'Ivoire.Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Unité de Formation et de Recherche Sciences de la Nature, Université Nangui Abrogoua, 02 BP 801, Abidjan 02, Côte d'Ivoire. Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, 22 BP 522, Abidjan 22, Côte d'Ivoire.Programme National de Santé Scolaire et Universitaire, 01 BP 1725, Abidjan 01, Côte d'Ivoire.Unité de Formation et de Recherche Sciences de la Nature, Université Nangui Abrogoua, 02 BP 801, Abidjan 02, Côte d'Ivoire. Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Vector Group, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.Institut Pierre Richet de Bouaké, Institut National de Santé Publique, BP 1500, Bouaké, Côte d'Ivoire. Programme National de Lutte contre le Paludisme, Ministère de la Santé et de la Lutte contre le SIDA, BP V 4, Abidjan, Côte d'Ivoire.Département Environnement et Santé, Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, 01 BP 1303, Abidjan 01, Côte d'Ivoire. Unité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, 22 BP 522, Abidjan 22, Côte d'Ivoire.Unité de Formation et de Recherche Sciences de la Nature, Université Nangui Abrogoua, 02 BP 801, Abidjan 02, Côte d'Ivoire.Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. University of Basel, P.O. Box, CH-4003, Basel, Switzerland.Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, CH-4002, Basel, Switzerland. giovanna.raso@unibas.ch. University of Basel, P.O. Box, CH-4003, Basel, Switzerland. giovanna.raso@unibas.ch.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

27604807

Citation

Houngbedji, Clarisse A., et al. "Spatial Mapping and Prediction of Plasmodium Falciparum Infection Risk Among School-aged Children in Côte D'Ivoire." Parasites & Vectors, vol. 9, no. 1, 2016, p. 494.
Houngbedji CA, Chammartin F, Yapi RB, et al. Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire. Parasit Vectors. 2016;9(1):494.
Houngbedji, C. A., Chammartin, F., Yapi, R. B., Hürlimann, E., N'Dri, P. B., Silué, K. D., Soro, G., Koudou, B. G., Assi, S. B., N'Goran, E. K., Fantodji, A., Utzinger, J., Vounatsou, P., & Raso, G. (2016). Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire. Parasites & Vectors, 9(1), 494. https://doi.org/10.1186/s13071-016-1775-z
Houngbedji CA, et al. Spatial Mapping and Prediction of Plasmodium Falciparum Infection Risk Among School-aged Children in Côte D'Ivoire. Parasit Vectors. 2016 09 7;9(1):494. PubMed PMID: 27604807.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d'Ivoire. AU - Houngbedji,Clarisse A, AU - Chammartin,Frédérique, AU - Yapi,Richard B, AU - Hürlimann,Eveline, AU - N'Dri,Prisca B, AU - Silué,Kigbafori D, AU - Soro,Gotianwa, AU - Koudou,Benjamin G, AU - Assi,Serge-Brice, AU - N'Goran,Eliézer K, AU - Fantodji,Agathe, AU - Utzinger,Jürg, AU - Vounatsou,Penelope, AU - Raso,Giovanna, Y1 - 2016/09/07/ PY - 2016/02/03/received PY - 2016/08/25/accepted PY - 2016/9/9/entrez PY - 2016/9/9/pubmed PY - 2017/10/27/medline KW - Bayesian modelling KW - Côte d’Ivoire KW - Malaria KW - Plasmodium falciparum KW - School-aged children SP - 494 EP - 494 JF - Parasites & vectors JO - Parasit Vectors VL - 9 IS - 1 N2 - BACKGROUND: In Côte d'Ivoire, malaria remains a major public health issue, and thus a priority to be tackled. The aim of this study was to identify spatially explicit indicators of Plasmodium falciparum infection among school-aged children and to undertake a model-based spatial prediction of P. falciparum infection risk using environmental predictors. METHODS: A cross-sectional survey was conducted, including parasitological examinations and interviews with more than 5,000 children from 93 schools across Côte d'Ivoire. A finger-prick blood sample was obtained from each child to determine Plasmodium species-specific infection and parasitaemia using Giemsa-stained thick and thin blood films. Household socioeconomic status was assessed through asset ownership and household characteristics. Children were interviewed for preventive measures against malaria. Environmental data were gathered from satellite images and digitized maps. A Bayesian geostatistical stochastic search variable selection procedure was employed to identify factors related to P. falciparum infection risk. Bayesian geostatistical logistic regression models were used to map the spatial distribution of P. falciparum infection and to predict the infection prevalence at non-sampled locations via Bayesian kriging. RESULTS: Complete data sets were available from 5,322 children aged 5-16 years across Côte d'Ivoire. P. falciparum was the predominant species (94.5 %). The Bayesian geostatistical variable selection procedure identified land cover and socioeconomic status as important predictors for infection risk with P. falciparum. Model-based prediction identified high P. falciparum infection risk in the north, central-east, south-east, west and south-west of Côte d'Ivoire. Low-risk areas were found in the south-eastern area close to Abidjan and the south-central and west-central part of the country. CONCLUSIONS: The P. falciparum infection risk and related uncertainty estimates for school-aged children in Côte d'Ivoire represent the most up-to-date malaria risk maps. These tools can be used for spatial targeting of malaria control interventions. SN - 1756-3305 UR - https://www.unboundmedicine.com/medline/citation/27604807/Spatial_mapping_and_prediction_of_Plasmodium_falciparum_infection_risk_among_school_aged_children_in_Côte_d'Ivoire_ L2 - https://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-016-1775-z DB - PRIME DP - Unbound Medicine ER -