Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping
Schistosomiasis is a neglected tropical disease (NTD) found throughout tropical and subtropical Africa. In Madagascar, the condition is widespread and endemic in 74% of all administrative districts in the country. Despite the significant burden of the disease, high-resolution risk maps have yet to b...
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Language: | English |
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MDPI AG
2022-01-01
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Series: | Tropical Medicine and Infectious Disease |
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Online Access: | https://www.mdpi.com/2414-6366/7/2/15 |
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author | Mark A. Deka |
author_facet | Mark A. Deka |
author_sort | Mark A. Deka |
collection | DOAJ |
description | Schistosomiasis is a neglected tropical disease (NTD) found throughout tropical and subtropical Africa. In Madagascar, the condition is widespread and endemic in 74% of all administrative districts in the country. Despite the significant burden of the disease, high-resolution risk maps have yet to be produced to guide national control programs. This study used an ecological niche modeling (ENM) and precision mapping approach to estimate environmental suitability and disease transmission risk. The results show that suitability for schistosomiasis is widespread and covers 264,781 km<sup>2</sup> (102,232 sq miles). Covariates of significance to the model were the accessibility to cities, distance to water, enhanced vegetation index (EVI), annual mean temperature, land surface temperature (LST), clay content, and annual precipitation. Disease transmission risk is greatest in the central highlands, tropical east coast, arid-southwest, and northwest. An estimated 14.9 million people could be at risk of schistosomiasis; 11.4 million reside in rural areas, while 3.5 million are in urban areas. This study provides valuable insight into the geography of schistosomiasis in Madagascar and its potential risk to human populations. Because of the focal nature of the disease, these maps can inform national surveillance programs while improving understanding of areas in need of medical interventions. |
first_indexed | 2024-03-09T20:55:18Z |
format | Article |
id | doaj.art-3dfaaa15027a4b76849b1e3f0b43bb55 |
institution | Directory Open Access Journal |
issn | 2414-6366 |
language | English |
last_indexed | 2024-03-09T20:55:18Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Tropical Medicine and Infectious Disease |
spelling | doaj.art-3dfaaa15027a4b76849b1e3f0b43bb552023-11-23T22:22:20ZengMDPI AGTropical Medicine and Infectious Disease2414-63662022-01-01721510.3390/tropicalmed7020015Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision MappingMark A. Deka0Centers for Disease Control and Prevention (CDC), 4770 Buford Hwy NE, Atlanta, GA 30341, USASchistosomiasis is a neglected tropical disease (NTD) found throughout tropical and subtropical Africa. In Madagascar, the condition is widespread and endemic in 74% of all administrative districts in the country. Despite the significant burden of the disease, high-resolution risk maps have yet to be produced to guide national control programs. This study used an ecological niche modeling (ENM) and precision mapping approach to estimate environmental suitability and disease transmission risk. The results show that suitability for schistosomiasis is widespread and covers 264,781 km<sup>2</sup> (102,232 sq miles). Covariates of significance to the model were the accessibility to cities, distance to water, enhanced vegetation index (EVI), annual mean temperature, land surface temperature (LST), clay content, and annual precipitation. Disease transmission risk is greatest in the central highlands, tropical east coast, arid-southwest, and northwest. An estimated 14.9 million people could be at risk of schistosomiasis; 11.4 million reside in rural areas, while 3.5 million are in urban areas. This study provides valuable insight into the geography of schistosomiasis in Madagascar and its potential risk to human populations. Because of the focal nature of the disease, these maps can inform national surveillance programs while improving understanding of areas in need of medical interventions.https://www.mdpi.com/2414-6366/7/2/15disease mappinggeographic information scienceschistosomiasisprecision public healthecological niche modeling |
spellingShingle | Mark A. Deka Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping Tropical Medicine and Infectious Disease disease mapping geographic information science schistosomiasis precision public health ecological niche modeling |
title | Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping |
title_full | Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping |
title_fullStr | Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping |
title_full_unstemmed | Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping |
title_short | Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping |
title_sort | predictive risk mapping of schistosomiasis in madagascar using ecological niche modeling and precision mapping |
topic | disease mapping geographic information science schistosomiasis precision public health ecological niche modeling |
url | https://www.mdpi.com/2414-6366/7/2/15 |
work_keys_str_mv | AT markadeka predictiveriskmappingofschistosomiasisinmadagascarusingecologicalnichemodelingandprecisionmapping |