02631nas a2200277 4500000000100000008004100001260001200042100001800054700001500072700001600087700001400103700001100117700001500128700001300143700001500156700001400171700001200185700001200197700001400209245007800223856009900301300001300400490000700413520191900420022001402339 2021 d c08/20211 ade Oliveira G1 aOliveira J1 aPescarini J1 aAndrade R1 aNery J1 aIchihara M1 aSmeeth L1 aBrickley E1 aBarreto M1 aPenna G1 aPenna M1 aSanchez M00aEstimating underreporting of leprosy in Brazil using a Bayesian approach. uhttps://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0009700&type=printable ae00097000 v153 a
BACKGROUND: Leprosy remains concentrated among the poorest communities in low-and middle-income countries and it is one of the primary infectious causes of disability. Although there have been increasing advances in leprosy surveillance worldwide, leprosy underreporting is still common and can hinder decision-making regarding the distribution of financial and health resources and thereby limit the effectiveness of interventions. In this study, we estimated the proportion of unreported cases of leprosy in Brazilian microregions.
METHODOLOGY/PRINCIPAL FINDINGS: Using data collected between 2007 to 2015 from each of the 557 Brazilian microregions, we applied a Bayesian hierarchical model that used the presence of grade 2 leprosy-related physical disabilities as a direct indicator of delayed diagnosis and a proxy for the effectiveness of local leprosy surveillance program. We also analyzed some relevant factors that influence spatial variability in the observed mean incidence rate in the Brazilian microregions, highlighting the importance of socioeconomic factors and how they affect the levels of underreporting. We corrected leprosy incidence rates for each Brazilian microregion and estimated that, on average, 33,252 (9.6%) new leprosy cases went unreported in the country between 2007 to 2015, with this proportion varying from 8.4% to 14.1% across the Brazilian States.
CONCLUSIONS/SIGNIFICANCE: The magnitude and distribution of leprosy underreporting were adequately explained by a model using Grade 2 disability as a marker for the ability of the system to detect new missing cases. The percentage of missed cases was significant, and efforts are warranted to improve leprosy case detection. Our estimates in Brazilian microregions can be used to guide effective interventions, efficient resource allocation, and target actions to mitigate transmission.
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