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|Title: ||Role of Diagnostic Testing in Schistosomiasis Control Programs in Rural Ghana|
|Authors: ||Ansong, Daniel|
Alder, Stephen C.
Crookston, Benjamin T.
Amuasi, John H.
|Issue Date: ||2011|
|Publisher: ||Journal of Bacteriology and Parasitology|
|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.|
|Description: ||This article is published in Journal of Bacteriology and
Parasitology and also available at DOI: 10.4172/2155-9597.1000115|
|Appears in Collections:||College of Agric and Natural Resources|
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