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...

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Main Authors: Olumide Ajibola, Bashar Haruna Gulumbe, Anthonius Anayochukwu Eze, Emmanuel Obishakin
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Medical Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3271/6/2/39
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author Olumide Ajibola
Bashar Haruna Gulumbe
Anthonius Anayochukwu Eze
Emmanuel Obishakin
author_facet Olumide Ajibola
Bashar Haruna Gulumbe
Anthonius Anayochukwu Eze
Emmanuel Obishakin
author_sort Olumide Ajibola
collection DOAJ
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.
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spelling doaj.art-da7f9bf6a78d489d9418357db8c6c9902022-12-21T23:25:45ZengMDPI AGMedical Sciences2076-32712018-05-01623910.3390/medsci6020039medsci6020039Tools for Detection of Schistosomiasis in Resource Limited SettingsOlumide Ajibola0Bashar Haruna Gulumbe1Anthonius Anayochukwu Eze2Emmanuel Obishakin3Department of Microbiology, Federal University Birnin Kebbi, P.M.B. 1157 Kalgo Road, Birnin Kebbi 860222, Kebbi State, NigeriaDepartment of Microbiology, Federal University Birnin Kebbi, P.M.B. 1157 Kalgo Road, Birnin Kebbi 860222, Kebbi State, NigeriaDepartment of Medical Biochemistry, University of Nigeria, Enugu Campus, Enugu 400241, Enugu State, NigeriaBiotechnology Division, National Veterinary Research Institute, P.M.B. 001, Vom, Jos, 930281, Plateau State, NigeriaSchistosomiasis 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.http://www.mdpi.com/2076-3271/6/2/39diagnosisschistosomiasisneglectedAfrica
spellingShingle Olumide Ajibola
Bashar Haruna Gulumbe
Anthonius Anayochukwu Eze
Emmanuel Obishakin
Tools for Detection of Schistosomiasis in Resource Limited Settings
Medical Sciences
diagnosis
schistosomiasis
neglected
Africa
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 diagnosis
schistosomiasis
neglected
Africa
url http://www.mdpi.com/2076-3271/6/2/39
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AT basharharunagulumbe toolsfordetectionofschistosomiasisinresourcelimitedsettings
AT anthoniusanayochukwueze toolsfordetectionofschistosomiasisinresourcelimitedsettings
AT emmanuelobishakin toolsfordetectionofschistosomiasisinresourcelimitedsettings