Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling.
In 2013, the World Health Organization (WHO) recognized mycetoma as one of the neglected tropical conditions due to the efforts of the mycetoma consortium. This same consortium formulated knowledge gaps that require further research. One of these gaps was that very few data are available on the epid...
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ftdoajarticles:oai:doaj.org/article:62ac347e72e34e8f8c475491ed564dbc 2023-05-15T15:11:07+02:00 Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. Abdallah M Samy Wendy W J van de Sande Ahmed Hassan Fahal A Townsend Peterson 2014-10-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0003250 https://doaj.org/article/62ac347e72e34e8f8c475491ed564dbc EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC4199553?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0003250 https://doaj.org/article/62ac347e72e34e8f8c475491ed564dbc PLoS Neglected Tropical Diseases, Vol 8, Iss 10, p e3250 (2014) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2014 ftdoajarticles https://doi.org/10.1371/journal.pntd.0003250 2022-12-31T00:11:32Z In 2013, the World Health Organization (WHO) recognized mycetoma as one of the neglected tropical conditions due to the efforts of the mycetoma consortium. This same consortium formulated knowledge gaps that require further research. One of these gaps was that very few data are available on the epidemiology and transmission cycle of the causative agents. Previous work suggested a soil-borne or Acacia thorn-prick-mediated origin of mycetoma infections, but no studies have investigated effects of soil type and Acacia geographic distribution on mycetoma case distributions. Here, we map risk of mycetoma infection across Sudan and South Sudan using ecological niche modeling (ENM). For this study, records of mycetoma cases were obtained from the scientific literature and GIDEON; Acacia records were obtained from the Global Biodiversity Information Facility. We developed ENMs based on digital GIS data layers summarizing soil characteristics, land-surface temperature, and greenness indices to provide a rich picture of environmental variation across Sudan and South Sudan. ENMs were calibrated in known endemic districts and transferred countrywide; model results suggested that risk is greatest in an east-west belt across central Sudan. Visualizing ENMs in environmental dimensions, mycetoma occurs under diverse environmental conditions. We compared niches of mycetoma and Acacia trees, and could not reject the null hypothesis of niche similarity. This study revealed contributions of different environmental factors to mycetoma infection risk, identified suitable environments and regions for transmission, signaled a potential mycetoma-Acacia association, and provided steps towards a robust risk map for the disease. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 8 10 e3250 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Abdallah M Samy Wendy W J van de Sande Ahmed Hassan Fahal A Townsend Peterson Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
In 2013, the World Health Organization (WHO) recognized mycetoma as one of the neglected tropical conditions due to the efforts of the mycetoma consortium. This same consortium formulated knowledge gaps that require further research. One of these gaps was that very few data are available on the epidemiology and transmission cycle of the causative agents. Previous work suggested a soil-borne or Acacia thorn-prick-mediated origin of mycetoma infections, but no studies have investigated effects of soil type and Acacia geographic distribution on mycetoma case distributions. Here, we map risk of mycetoma infection across Sudan and South Sudan using ecological niche modeling (ENM). For this study, records of mycetoma cases were obtained from the scientific literature and GIDEON; Acacia records were obtained from the Global Biodiversity Information Facility. We developed ENMs based on digital GIS data layers summarizing soil characteristics, land-surface temperature, and greenness indices to provide a rich picture of environmental variation across Sudan and South Sudan. ENMs were calibrated in known endemic districts and transferred countrywide; model results suggested that risk is greatest in an east-west belt across central Sudan. Visualizing ENMs in environmental dimensions, mycetoma occurs under diverse environmental conditions. We compared niches of mycetoma and Acacia trees, and could not reject the null hypothesis of niche similarity. This study revealed contributions of different environmental factors to mycetoma infection risk, identified suitable environments and regions for transmission, signaled a potential mycetoma-Acacia association, and provided steps towards a robust risk map for the disease. |
format |
Article in Journal/Newspaper |
author |
Abdallah M Samy Wendy W J van de Sande Ahmed Hassan Fahal A Townsend Peterson |
author_facet |
Abdallah M Samy Wendy W J van de Sande Ahmed Hassan Fahal A Townsend Peterson |
author_sort |
Abdallah M Samy |
title |
Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
title_short |
Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
title_full |
Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
title_fullStr |
Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
title_full_unstemmed |
Mapping the potential risk of mycetoma infection in Sudan and South Sudan using ecological niche modeling. |
title_sort |
mapping the potential risk of mycetoma infection in sudan and south sudan using ecological niche modeling. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2014 |
url |
https://doi.org/10.1371/journal.pntd.0003250 https://doaj.org/article/62ac347e72e34e8f8c475491ed564dbc |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 8, Iss 10, p e3250 (2014) |
op_relation |
http://europepmc.org/articles/PMC4199553?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0003250 https://doaj.org/article/62ac347e72e34e8f8c475491ed564dbc |
op_doi |
https://doi.org/10.1371/journal.pntd.0003250 |
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PLoS Neglected Tropical Diseases |
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8 |
container_issue |
10 |
container_start_page |
e3250 |
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1766342016989396992 |