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Showing 1 to 4 of 4 for “"Schistomiasis"”.

  1. Risk factors and spatial distribution of urinary schistomiasis among school going children in Ng'ombe township of Lusaka

    Background: Schistosomiasis is a major public health problem and an estimated 779 million people worldwide, are at risk of schistosomiasis. In Zambia, close to 2 million people are infected with the disease with prevalence attainment as high as 90% in some communities. Therefore, this study sought …

    zimbabwe Repository record for Risk factors and spatial distribution of urinary schistomiasis among school going children in Ng'ombe township of Lusaka (opens in a new tab)

  2. Risk factors and spatial distribution of urinary schistomiasis among school going children in Ng'ombe township of Lusaka

    Background: Schistosomiasis is a major public health problem and an estimated 779 million people worldwide, are at risk of schistosomiasis. In Zambia, close to 2 million people are infected with the disease with prevalence attainment as high as 90% in some communities. Therefore, this study sought …

    zambia Repository record for Risk factors and spatial distribution of urinary schistomiasis among school going children in Ng'ombe township of Lusaka (opens in a new tab)

  3. Prevalence and factors associated with Schistosoma Haematobium infection among School going Children of Katete District

    Background: Schistosomiasis though considered a neglected tropical disease puts 779 million people at risk of being infected while about 200 million people are infected in the world. In Zambia 2 million people are infected putting the prevalence at 16%. The prevalence and factors associated with S. …

    zambia Repository record for Prevalence and factors associated with Schistosoma Haematobium infection among School going Children of Katete District (opens in a new tab)

  4. Mapping and modeling of neglected tropical diseases in Brazil and Bolivia

    Accurately defining disease distributions and calculating disease risk is an important step in the control and prevention of diseases. This study used geographical information systems and remote sensing technologies within the MaxEnt ecological niche modeling program to create predictive risk maps …

    lsu-thes Repository record for Mapping and modeling of neglected tropical diseases in Brazil and Bolivia (opens in a new tab)