Spatial distribution of leprosy in India : an ecological study

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Date
2018-03-27
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BioMed Central
Abstract
Background: As leprosy elimination becomes an increasingly realistic goal, it is essential to determine the factors that contribute to its persistence. We evaluate social and economic factors as predictors of leprosy annual new case detection rates within India, where the majority of leprosy cases occur. Methods: We used correlation and linear mixed effect regressions to assess whether poverty, illiteracy, nighttime satellite radiance (an index of development), and other covariates can explain district-wise annual new case detection rate and Grade 2 disability diagnoses. Results: We find only weak evidence of an association between poverty and annual new case detection rates at the district level, though illiteracy and satellite radiance are statistically significant predictors of leprosy at the district level. We find no evidence of rapid decline over the period 2008–2015 in either new case detection or new Grade 2 disability. Conclusions: Our findings suggest a somewhat higher rate of leprosy detection, on average, in poorer districts; the overall effect is weak. The divide between leprosy case detection and true incidence of clinical leprosy complicates these results, particularly given that the detection rate is likely disproportionately lower in impoverished settings. Additional information is needed to distinguish the determinants of leprosy case detection and transmission during the elimination epoch.
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CITATION: Grantz, Kyra H., et al. 2018. Spatial distribution of leprosy in India : an ecological study. Infectious Diseases of Poverty, 7:20, doi:10.1186/s40249-018-0402-y.
The original publication is available at https://idpjournal.biomedcentral.com
Keywords
Leprosy -- India, Hansen's disease, Poverty -- Health aspects
Citation
Grantz, Kyra H., et al. 2018. Spatial distribution of leprosy in India : an ecological study. Infectious Diseases of Poverty, 7:20, doi:10.1186/s40249-018-0402-y
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http://hdl.handle.net/10019.1/103249
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Research Articles ((SACEMA) South African Centre for Epidemiological Modelling and Analysis )