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Tools for Detection of Schistosomiasis in Resource Limited Settings
Schistosomiasis is a debilitating disease affecting over 200 million people, with the highest burden of morbidity and mortality in African countries. Despite its huge impact on the health and socio-economic burden of the society, it remains a neglected tropical disease, with limited attention from g...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024580/ https://www.ncbi.nlm.nih.gov/pubmed/29789498 http://dx.doi.org/10.3390/medsci6020039 |
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author | Ajibola, Olumide Gulumbe, Bashar Haruna Eze, Anthonius Anayochukwu Obishakin, Emmanuel |
author_facet | Ajibola, Olumide Gulumbe, Bashar Haruna Eze, Anthonius Anayochukwu Obishakin, Emmanuel |
author_sort | Ajibola, Olumide |
collection | PubMed |
description | Schistosomiasis is a debilitating disease affecting over 200 million people, with the highest burden of morbidity and mortality in African countries. Despite its huge impact on the health and socio-economic burden of the society, it remains a neglected tropical disease, with limited attention from governments and stakeholders in healthcare. One of the critical areas that is hugely under-developed is the development of accurate diagnostics for both intestinal and urogenital schistosomiasis. Diagnosis of schistosomiasis is important for the detection and treatment of disease in endemic and non-endemic settings. A conclusive detection method is also an indispensable part of treatment, both in the clinic and during mass drug administration (MDA), for the monitoring efficacy of treatment. Here, we review the available diagnostic methods and discuss the challenges encountered in diagnosis in resource limited settings. We also present the available diagnostics and cost implications for deployment in resource limited settings. Lastly, we emphasize the need for more funding directed towards the development of affordable diagnostic tools that is affordable for endemic countries as we work towards the elimination of the disease. |
format | Online Article Text |
id | pubmed-6024580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60245802018-07-05 Tools for Detection of Schistosomiasis in Resource Limited Settings Ajibola, Olumide Gulumbe, Bashar Haruna Eze, Anthonius Anayochukwu Obishakin, Emmanuel Med Sci (Basel) Review Schistosomiasis is a debilitating disease affecting over 200 million people, with the highest burden of morbidity and mortality in African countries. Despite its huge impact on the health and socio-economic burden of the society, it remains a neglected tropical disease, with limited attention from governments and stakeholders in healthcare. One of the critical areas that is hugely under-developed is the development of accurate diagnostics for both intestinal and urogenital schistosomiasis. Diagnosis of schistosomiasis is important for the detection and treatment of disease in endemic and non-endemic settings. A conclusive detection method is also an indispensable part of treatment, both in the clinic and during mass drug administration (MDA), for the monitoring efficacy of treatment. Here, we review the available diagnostic methods and discuss the challenges encountered in diagnosis in resource limited settings. We also present the available diagnostics and cost implications for deployment in resource limited settings. Lastly, we emphasize the need for more funding directed towards the development of affordable diagnostic tools that is affordable for endemic countries as we work towards the elimination of the disease. MDPI 2018-05-23 /pmc/articles/PMC6024580/ /pubmed/29789498 http://dx.doi.org/10.3390/medsci6020039 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ajibola, Olumide Gulumbe, Bashar Haruna Eze, Anthonius Anayochukwu Obishakin, Emmanuel Tools for Detection of Schistosomiasis in Resource Limited Settings |
title | Tools for Detection of Schistosomiasis in Resource Limited Settings |
title_full | Tools for Detection of Schistosomiasis in Resource Limited Settings |
title_fullStr | Tools for Detection of Schistosomiasis in Resource Limited Settings |
title_full_unstemmed | Tools for Detection of Schistosomiasis in Resource Limited Settings |
title_short | Tools for Detection of Schistosomiasis in Resource Limited Settings |
title_sort | tools for detection of schistosomiasis in resource limited settings |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024580/ https://www.ncbi.nlm.nih.gov/pubmed/29789498 http://dx.doi.org/10.3390/medsci6020039 |
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