The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

Rufin K. Assaré; Ying-Si Lai; Ahoua Yapi; Yves-Nathan T. Tian-Bi; Mamadou Ouattara; Patrick K. Yao; Stefanie Knopp; Penelope Vounatsou; Jürg Utzinger; Eliézer K. N'Goran

doi:10.4081/gh.2015.345

https://doi.org/10.4081/gh.2015.345

The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

PDF HTML

Vol. 10 No. 1 (2015)

Submitted: 6 March 2015
Accepted: 12 April 2015

Published: 3 June 2015

Bayesian geostatistical analysis, CÃ´te dâ€™Ivoire, Geographical information system, Remote sensing, Schistosomiasis

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.

Authors

Rufin K. Assaré

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland; Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan, Côte d'Ivoire.

Ying-Si Lai

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.

Ahoua Yapi

Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan, Côte d'Ivoire.

Yves-Nathan T. Tian-Bi

Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan, Côte d'Ivoire.

Mamadou Ouattara

Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan, Côte d'Ivoire.

Patrick K. Yao

Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan, Côte d'Ivoire.

Stefanie Knopp

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland; Wolfson Wellcome Biomedical Laboratories, Department of Life Sciences, Natural History Museum, London, United Kingdom.

Penelope Vounatsou

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.

Jürg Utzinger

[email protected]

Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.

Eliézer K. N'Goran

Unité de Formation et de Recherche Biosciences, Université Félix HouphouÃ«t-Boigny, Abidjan; Centre Suisse de Recherches Scientifiques en Côte d'Ivoire, Abidjan, Côte d'Ivoire.

Schistosomiasis poses a considerable public health burden in sub- Saharan Africa and a sound understanding of the spatial distribution facilitates to better target control interventions. The objectives of this study were i) to assess the prevalence of Schistosoma mansoni among school-aged children in four regions of western Côte d'Ivoire; ii) to determine demographic, climatic and environmental factors that influence the distribution of S. mansoni; and iii) to map and predict the distribution of S. mansoni in non-sampled locations. Parasitological surveys were carried out in 264 schools from June to December 2011. In each school, we aimed to examine 50 children for S. mansoni infection using duplicate Kato-Katz thick smears. Schools were georeferenced using a hand-held global positioning system receiver. Demographic data were obtained from readily available school lists, while climatic and environmental data were extracted from open-access remote sensing databases. Multivariable, binary non-spatial models and a Bayesian geostatistical logistic regression model were used to identify demographic, climatic and environmental risk factors for S. mansoni infection. Risk maps were developed based on observed S. mansoni prevalences and using Bayesian geostatistical models to predict prevalences at non-sampled locations. Overall, 12,462 children provided a sufficiently large stool sample to perform at least one Kato-Katz thick smear. The observed overall prevalence of S. mansoni infection was 39.9%, ranging from 0 to 100% at the unit of the school. Bayesian geostatistical analysis revealed that age, sex, altitude and difference between land surface temperature at day and night were significantly associated with S. mansoni infection. The S. mansoni risk map presented here is being been used by the national schistosomiasis control programme for spatial targeting of praziquantel and other interventions.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Supporting Agencies

University of Georgia Research Foundation Inc.

How to Cite

Assaré, R. K., Lai, Y.-S., Yapi, A., Tian-Bi, Y.-N. T., Ouattara, M., Yao, P. K., Knopp, S., Vounatsou, P., Utzinger, J., & N’Goran, E. K. (2015). The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d’Ivoire. Geospatial Health, 10(1). https://doi.org/10.4081/gh.2015.345

Download Citation

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.

The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

Authors

Dimensions

Altmetric

PlumX Metrics

Downloads

Citations

Supporting Agencies

How to Cite

Download Citation

Similar Articles

authors

reviewers

indexing

vhealths

Keywords