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Spatial distribution of leprosy in India: an ecological study
Kyra H Grantz1,2, Winnie Chabaari3,4, Ramolotja Kagiso Samuel3,4
1Department of Biology, University of Florida, Gainesville, FL, USA.
Infectious Diseases of Poverty
|March 28, 2018
Summary
Illiteracy and development, measured by satellite radiance, predict leprosy case detection in India. Poverty shows a weak association, and case detection has not rapidly declined, highlighting challenges in leprosy elimination.
Area of Science:
- Epidemiology
- Public Health
- Socioeconomic Determinants
Background:
- Leprosy elimination is a global health goal.
- Understanding factors influencing leprosy persistence is crucial.
- India accounts for the majority of global leprosy cases.
Purpose of the Study:
- To evaluate socioeconomic factors predicting leprosy new case detection rates in India.
- To analyze the association between poverty, illiteracy, and development with leprosy incidence.
Main Methods:
- Correlation and linear mixed-effect regressions were employed.
- District-wise data on new case detection and Grade 2 disability were analyzed.
- Poverty, illiteracy, and nighttime satellite radiance were key predictors assessed.
Main Results:
- Illiteracy and satellite radiance were significant predictors of leprosy at the district level.
- Poverty showed only a weak association with annual new case detection rates.
- No significant decline in new case detection or Grade 2 disability was observed between 2008-2015.
Conclusions:
- Leprosy detection rates are weakly associated with poverty.
- Higher detection rates may occur in poorer districts, but the effect is marginal.
- Distinguishing between leprosy case detection and true incidence is complex, especially in impoverished areas.
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