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3 A cautious conclusion of this study might be that RDTs might be potentially useful to rule out malaria, but that studies on larger samples and patient populations with higher malaria prevalence are necessary to confirm this finding.
These findings are similar to those of a hospital-based study conducted in the region, 19 but inconsistent with results of another study, which reported substantially higher malaria prevalence in HIV-positive patients than in HIV-negative patients.
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The highest malaria prevalence was observed in Khagrachari district.
The results showed that Anopheles density was the best predictor for high malaria prevalence.
This sub district was chosen as it had the highest malaria prevalence (36%) in the survey conducted in 2007.
In the national level survey conducted in 2007, the study area had the highest malaria prevalence (36%) [5].
This prevalence study assesses whether or not high malaria prevalence remains, and if so, which areas and individuals remain at high risk of infection.
Second, this model allowed for locations that are always of high malaria prevalence relative to other locations/years to contribute to the spatial clustering, a particularly important advantage given the generally low prevalence of the survey locations throughout the study period.
A nurse in one rural health facility located in an area of high malaria prevalence said that preventing malaria in pregnancy was critical.
This study was conducted in areas of high malaria prevalence, confirmed both by microscopic examination and RDT (Tables 1 and 2).
It is well established that central nervous system (CNS) infection such as malaria and tuberculosis can lead to epilepsy [ 39, 40] and the research site was one of the high malaria prevalence areas in Kenya.
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