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Spatial distribution of leprosy in India: an ecological study

Overview of attention for article published in Infectious Diseases of Poverty, March 2018
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Title
Spatial distribution of leprosy in India: an ecological study
Published in
Infectious Diseases of Poverty, March 2018
DOI 10.1186/s40249-018-0402-y
Pubmed ID
Authors

Kyra H. Grantz, Winnie Chabaari, Ramolotja Kagiso Samuel, Buri Gershom, Laura Blum, Lee Worden, Sarah Ackley, Fengchen Liu, Thomas M. Lietman, Alison P. Galvani, Lalitha Prajna, Travis C. Porco

Abstract

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. 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. 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. 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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Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Student > Postgraduate 7 10%
Researcher 6 8%
Student > Bachelor 5 7%
Lecturer 5 7%
Other 11 15%
Unknown 24 34%
Readers by discipline Count As %
Medicine and Dentistry 19 27%
Nursing and Health Professions 10 14%
Agricultural and Biological Sciences 3 4%
Economics, Econometrics and Finance 3 4%
Environmental Science 2 3%
Other 8 11%
Unknown 26 37%