Literature DB >> 10588769

The performance of school-based questionnaires of reported blood in urine in diagnosing Schistosoma haematobium infection: patterns by age and sex.

H Guyatt1, S Brooker, N J Lwambo, J E Siza, D A Bundy.   

Abstract

This study investigates the performance of school-based questionnaires of reported blood in urine as an indicator of the prevalence of Schistosoma haematobium infection in schools and the presence of infection in individuals. In most schools (87%), the prevalence of reported blood in urine underestimates the prevalence of S. haematobium infection. Predictive value analysis suggests that a threshold of 30% reported blood in urine would identify most of the high prevalence schools (i.e. those with 50% or more children infected with S. haematobium). Although the prevalence of S. haematobium infection was greater in males than females, girls reported a lower prevalence of blood in urine than boys even at comparable levels of infection. Reported blood in urine in females was more specific (identifying 10% more uninfected girls than the sign in boys), but was far less sensitive (identifying less than 20% of infected girls than boys). The sensitivity of reported blood in urine was also related to age, being significantly lower in girls over 14 years of age. The proportion of infected children who reported blood in urine was also lower in schools where the prevalence of reported blood in urine is less than 30%. The results suggest that the selective treatment of children based on reported blood in urine in low prevalence schools would miss a high proportion of infected children, particularly girls. It remains unclear whether other rapid assessment techniques, such as the use of reagent strips, would offer greater cost-effectiveness.

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Year:  1999        PMID: 10588769     DOI: 10.1046/j.1365-3156.1999.00483.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  18 in total

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2.  Factors affecting infection or reinfection with Schistosoma haematobium in coastal Kenya: survival analysis during a nine-year, school-based treatment program.

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7.  Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data.

Authors:  S Brooker; S I Hay; W Issae; A Hall; C M Kihamia; N J Lwambo; W Wint; D J Rogers; D A Bundy
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Review 9.  Do antenatal parasite infections devalue childhood vaccination?

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10.  Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa.

Authors:  A C A Clements; S Brooker; U Nyandindi; A Fenwick; L Blair
Journal:  Int J Parasitol       Date:  2007-09-02       Impact factor: 3.981

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