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IPS186 Fagbamigbe, A. F.
            sensitivity in the current study is comparable to the sensitivity of 89% but
            lower than the specificity of 88% reported in an earlier longitudinal study in
            Tanzania  [8].  In  the  same  report,  63%  sensitivity  and  94%  specificity  were
            obtained in the cross-sectional component of the study. The authors noted
            that  these  measurements  of  discriminatory  analysis  varied  widely  and  it
            depended on the presence of fever and the parasite density [8].
                Murungi  et  al.  noted  that  poor  specificity  in  a  diagnostic  test  may
            negatively impact RDT-based diagnostic strategies for malaria [27]. The wide
            disparities in the performance of RDTs against the microscopy and the PCR
            motivated Murungi et al to explore the accuracy of the HRP2 and pLDH RDTs
            and  the  microscopy  in  a  two-step  algorithm  among  276  individuals.  The
            authors  found  varying  and  very  high  levels  of  sensitivity  and  specificity
            depending on the stage of malaria. They concluded that certain RDTs could
            be  more  accurate  in  new  cases  and  initial  diagnosis  than  in  malaria  case
            monitoring and treatment and vice-versa [27].
                On the predictive accuracy of the RDTs used in malaria diagnosis in the
            current study, the PPV was low at 58% while the NPV was relatively high at
            94% respectively. This finding suggests that the likelihood of having malaria
            when the RDT test is positive is only about half while the likelihood of being
            disease-free when the RDT test is negative is very high. In contrast, Hopkins et
            al found that the PPV of the HRP2-based test was 98% compared with “the
            expert” microscopy, with an NPV of 97% for the HRP2-based test [15]. Also, a
            study carried out in Burkina Faso found the PPV and NPV of RDT to be 9% and
            99.8% respectively in the dry season compared with 82%  and 84% respectively
            in the rainy season for infants to over 99% for adults [14]. However, it is worth
            noting that PPVs are functions of disease prevalence.
                Also,  the  level  of  anaemia  influenced  both  the  discriminatory  and  the
            predictive accuracies of the RDTs. The RDTs were totally sensitive and less than
            40% specific among children with severe anaemia. The higher the severity of
            anaemia in children, the higher the sensitivity and the lower the specificity. In
            a similar trend, PPV reduced with reducing anaemia severity while the NPV
            increased with a reduction in the level of severity of anaemia.
                Although, all the tests in the current study were carried out during the
            same  dry  season  which  eliminated  seasonal  variability.  It  cannot  be
            ascertained in the current study if the dry season influenced the accuracies of
            the  RDTs  in  a  study  conducted  in  Burkina  Faso.  Bisofi  et  al.  had  found  a
            significant effect of seasonality in the discriminatory accuracy of RDT. It was
            reported that while the sensitivity and specificity of the RDT were 86% and
            90% respectively in the dry season, the figures were 94% and 78% respectively
            in the rainy season [14].  The same study found seasonal variability in PPV and
            NPV of  RDT to be 9% and 99.8% respectively in the dry season compared with
            82%  and 84% respectively in the rainy season among infants [14].  In addition,

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