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Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study

BACKGROUND: Côte d’Ivoire has had 45 years of intervention for onchocerciasis by vector control (from 1975 to 1991), ivermectin mass drug administration (MDA) (from 1992 to 1994) and community directed treatment with ivermectin (CDTi) from 1995 to the present. We modeled onchocerciasis endemicity du...

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Autores principales: Eneanya, Obiora A., Koudou, Benjamin G., Aboulaye, Meite, Elvis, Aba Ange, Souleymane, Yeo, Kouakou, Marie-Madeleine, Weil, Gary J., Fischer, Peter U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875389/
https://www.ncbi.nlm.nih.gov/pubmed/33566805
http://dx.doi.org/10.1371/journal.pntd.0009091
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author Eneanya, Obiora A.
Koudou, Benjamin G.
Aboulaye, Meite
Elvis, Aba Ange
Souleymane, Yeo
Kouakou, Marie-Madeleine
Weil, Gary J.
Fischer, Peter U.
author_facet Eneanya, Obiora A.
Koudou, Benjamin G.
Aboulaye, Meite
Elvis, Aba Ange
Souleymane, Yeo
Kouakou, Marie-Madeleine
Weil, Gary J.
Fischer, Peter U.
author_sort Eneanya, Obiora A.
collection PubMed
description BACKGROUND: Côte d’Ivoire has had 45 years of intervention for onchocerciasis by vector control (from 1975 to 1991), ivermectin mass drug administration (MDA) (from 1992 to 1994) and community directed treatment with ivermectin (CDTi) from 1995 to the present. We modeled onchocerciasis endemicity during two time periods that correspond to the scale up of vector control and ivermectin distribution, respectively. This analysis illustrates progress towards elimination during these periods, and it has identified potential hotspots areas that are at risk for ongoing transmission. METHODS AND FINDINGS: The analysis used Ministry of Health skin snip microfilaria (MF) prevalence and intensity data collected between 1975 and 2016. Socio-demographic and environmental factors were incorporated into a predictive, machine learning algorithm to create continuous maps of onchocerciasis endemicity. Overall predicted mean MF prevalence decreased from 51.8% circa 1991 to 3.9% circa 2016. The model predicted infection foci with higher prevalence in the southern region of the country. Predicted mean community MF load (CMFL) decreased from 10.1MF/snip circa 1991 to 0.1MF/snip circa 2016. Again, the model predicts foci with higher Mf densities in the southern region. For assessing model performance, the root mean squared error and R(2) values were 1.14 and 0.62 respectively for a model trained with data collected prior to 1991, and 1.28 and 0.57 for the model trained with infection survey data collected later, after the introduction of ivermectin. Finally, our models show that proximity to permanent inland bodies of water and altitude were the most informative variables that correlated with onchocerciasis endemicity. CONCLUSION/SIGNIFICANCE: This study further documents the significant reduction of onchocerciasis infection following widespread use of ivermectin for onchocerciasis control in Côte d’Ivoire. Maps produced predict areas at risk for ongoing infection and transmission. Onchocerciasis might be eliminated in Côte d’Ivoire in the future with a combination of sustained CDTi with high coverage, active surveillance, and close monitoring for persistent infection in previously hyper-endemic areas.
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spelling pubmed-78753892021-02-19 Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study Eneanya, Obiora A. Koudou, Benjamin G. Aboulaye, Meite Elvis, Aba Ange Souleymane, Yeo Kouakou, Marie-Madeleine Weil, Gary J. Fischer, Peter U. PLoS Negl Trop Dis Research Article BACKGROUND: Côte d’Ivoire has had 45 years of intervention for onchocerciasis by vector control (from 1975 to 1991), ivermectin mass drug administration (MDA) (from 1992 to 1994) and community directed treatment with ivermectin (CDTi) from 1995 to the present. We modeled onchocerciasis endemicity during two time periods that correspond to the scale up of vector control and ivermectin distribution, respectively. This analysis illustrates progress towards elimination during these periods, and it has identified potential hotspots areas that are at risk for ongoing transmission. METHODS AND FINDINGS: The analysis used Ministry of Health skin snip microfilaria (MF) prevalence and intensity data collected between 1975 and 2016. Socio-demographic and environmental factors were incorporated into a predictive, machine learning algorithm to create continuous maps of onchocerciasis endemicity. Overall predicted mean MF prevalence decreased from 51.8% circa 1991 to 3.9% circa 2016. The model predicted infection foci with higher prevalence in the southern region of the country. Predicted mean community MF load (CMFL) decreased from 10.1MF/snip circa 1991 to 0.1MF/snip circa 2016. Again, the model predicts foci with higher Mf densities in the southern region. For assessing model performance, the root mean squared error and R(2) values were 1.14 and 0.62 respectively for a model trained with data collected prior to 1991, and 1.28 and 0.57 for the model trained with infection survey data collected later, after the introduction of ivermectin. Finally, our models show that proximity to permanent inland bodies of water and altitude were the most informative variables that correlated with onchocerciasis endemicity. CONCLUSION/SIGNIFICANCE: This study further documents the significant reduction of onchocerciasis infection following widespread use of ivermectin for onchocerciasis control in Côte d’Ivoire. Maps produced predict areas at risk for ongoing infection and transmission. Onchocerciasis might be eliminated in Côte d’Ivoire in the future with a combination of sustained CDTi with high coverage, active surveillance, and close monitoring for persistent infection in previously hyper-endemic areas. Public Library of Science 2021-02-10 /pmc/articles/PMC7875389/ /pubmed/33566805 http://dx.doi.org/10.1371/journal.pntd.0009091 Text en © 2021 Eneanya et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eneanya, Obiora A.
Koudou, Benjamin G.
Aboulaye, Meite
Elvis, Aba Ange
Souleymane, Yeo
Kouakou, Marie-Madeleine
Weil, Gary J.
Fischer, Peter U.
Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title_full Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title_fullStr Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title_full_unstemmed Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title_short Progress towards onchocerciasis elimination in Côte d’Ivoire: A geospatial modelling study
title_sort progress towards onchocerciasis elimination in côte d’ivoire: a geospatial modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875389/
https://www.ncbi.nlm.nih.gov/pubmed/33566805
http://dx.doi.org/10.1371/journal.pntd.0009091
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