alexa Role of Diagnostic Testing in Schistosomiasis Control Programs in Rural Ghana
ISSN: 2155-9597

Journal of Bacteriology & Parasitology
Open Access

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Research Article

Role of Diagnostic Testing in Schistosomiasis Control Programs in Rural Ghana

Daniel Ansong1,2, Stephen C. Alder3*, Benjamin T. Crookston3, Celeste Beck3, Thomas Gyampomah2, John H. Amuasi2, Isaac Boakye2, Justice Sylverken2, Alex Owusu-Ofori2, DeVon Hale3, Alex Osei Yaw Akoto1,2 and Scott R. Larsen3

1Kwame Nkrumah University of Science and Technology, School of Medical Sciences Kumasi, Ghana

2Komfo Anokye Teaching Hospital, Kumasi, Ghana

3The University of Utah, Office of Global Health, 375 Chipeta Way Ste A, Salt Lake City, Utah 84108 USA

*Corresponding Author:
Dr. Stephen C. Alder
The University of Utah
Office of Global Health, 375 Chipeta Way Ste A
Salt Lake City, Utah 84108 USA
Tel: +233 20 8178767
Fax: 233 3220 34409
E-mail: [email protected]

Received date: October 10, 2010; Accepted date: June 15, 2011; Published date: June 28, 2011

Citation: Ansong D, Alder SC, Crookston BT, Beck C, Gyampomah T, et al. (2011) Role of Diagnostic Testing in Schistosomiasis Control Programs in Rural Ghana. J Bacteriol Parasitol 2:115. doi: 10.4172/2155-9597.1000115

Copyright: © 2011 Ansong D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Schistosomiasis affects an estimated 200-300 million people worldwide. Construction of dams has contributed to the high prevalence of urinary schistosomiasis in Ghana. To assist rural villages downstream from the Barekese dam in schistosomiasis control programs, this study evaluated possible detection methods of schistosomiasis. Methods: A cross-sectional survey of volunteers was conducted in a rural setting of Ghana. Five hundred and thirty four (534) volunteers provided symptom information and urine samples for urinalysis. Microscopic egg count of 341 random samples was used to determine prevalence of disease and to analyze effectiveness of urinalysis and symptom information for diagnosing schistosomiasis. Results: Schistosomiasis prevalence was 41.1 % for the village. The highest prevalence was in the 10-14 age groups (71.1 %). Sensitivity and specificity for hematuria was 76.1 and 77.7 % respectively, and proteinuria was 58.2 & 68.7 % respectively. The positive predictive value was highest for hematuria (71.1 %). The highest negative predictive value was among positive proteinuria or hematuria (84.0 %). From urinary symptom information, reporting pain and dark urine yielded the highest positive predictive value (72.0 %). Reporting pain, difficulty, or dark urine yielded the highest negative predictive value (75.8 %). Discussion: The positive and negative predictive values of urine analysis and symptom information may be an inexpensive tool for diagnosing schistosomiasis in areas of high prevalence.

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