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Med. Sci. 2018, 6(2), 39; https://doi.org/10.3390/medsci6020039

Tools for Detection of Schistosomiasis in Resource Limited Settings

1
Department of Microbiology, Federal University Birnin Kebbi, P.M.B. 1157 Kalgo Road, Birnin Kebbi 860222, Kebbi State, Nigeria
2
Department of Medical Biochemistry, University of Nigeria, Enugu Campus, Enugu 400241, Enugu State, Nigeria
3
Biotechnology Division, National Veterinary Research Institute, P.M.B. 001, Vom, Jos, 930281, Plateau State, Nigeria
*
Author to whom correspondence should be addressed.
Received: 4 May 2018 / Revised: 15 May 2018 / Accepted: 16 May 2018 / Published: 23 May 2018
(This article belongs to the Section Immunology and Infectious Diseases)
Full-Text   |   PDF [241 KB, uploaded 23 May 2018]

Abstract

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. View Full-Text
Keywords: diagnosis; schistosomiasis; neglected; Africa diagnosis; schistosomiasis; neglected; Africa
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Ajibola, O.; Gulumbe, B.H.; Eze, A.A.; Obishakin, E. Tools for Detection of Schistosomiasis in Resource Limited Settings. Med. Sci. 2018, 6, 39.

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