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Pak J Biol Sci ; 16(20): 1166-72, 2013 Oct 15.
Artigo em Inglês | MEDLINE | ID: mdl-24506017

RESUMO

Urinary schistosomiasis is a serious disease in Cross River State, Nigeria. Dearth of information on its distribution has hampered the implementation of focused control of the disease. The availability of a rapid method for mapping the disease necessitated this research to provide data for control of Urinary schistosomiasis in Cross River State, Nigeria. The study used a rapid validated school-based questionnaire method in mapping schistosomiasis. Geographical information system (GIS) software tools were used to produce a spatial map for prevalence of infection and areas at risk for urinary schistosomiasis in Cross River State. Data analysis with SPSS package revealed that 9,993 (10.2%) female and 10,328 (10.0%) male pupils in 218 schools passed blood in urine in one month out of 199,794 pupils interviewed. There was no statistically significant difference in the prevalence between male and female pupils with infection (p < 0.005). The prevalence of urinary schistosomiasis using questionnaire method correlated positively with the filtration method used in determining the egg output (r = 0.71, p < 0.001). Endemic schools were distributed in thirteen Local Government Areas of Cross River State, Nigeria. Yala and Yakurr LGAs had the highest number of schools that reported schistosomiasis with 39 (59%) and 13 (59%), respectively. Odukpani LGA had the lowest prevalence of 1 (0.2%). The overall results showed a mean urinary schistosomiasis prevalence of 10.2% for Cross River State, Nigeria. The findings of this study would guide Government and other relevant agencies in the implementation of control strategies for the treatment of urinary schistosomiasis in Cross River State, Nigeria.


Assuntos
Esquistossomose/epidemiologia , Esquistossomose/urina , Adolescente , Animais , Criança , Feminino , Sistemas de Informação Geográfica , Humanos , Masculino , Nigéria/epidemiologia , Prevalência , Schistosoma/isolamento & purificação , Instituições Acadêmicas/estatística & dados numéricos , Inquéritos e Questionários
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