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Leprosy prevalence spatial distribution and trend in a health region in Northeast Brazil, 2008-2017: an ecological study

Distribución espacial y tendencia en la prevalencia de la lepra en una región sanitaria del Nordeste de Brasil, 2008-2017: un estudio ecológico

Study contributions

Main results

A total of 4,029 leprosy cases were notified. Mean prevalence varied between 2.0 and 11.5 cases/10,000 inhab. Spatial distribution of the cases was heterogeneous and there was a falling prevalence trend over the years studied.

Implications for services

These findings point to the need to strengthen active tracing strategies and expand health actions and services targeting leprosy, with the aim of increasing detection and early treatment of cases.

Perspectives

It is important to carry out epidemiological investigations on the spatial distribution and prevalence of leprosy in other health regions in the state, in order to identify other areas with greater vulnerability to leprosy.

Abstract

Objective:

to analyse the spatial distribution and trend of leprosy in municipalities of a health region in a Northeast Brazilian state.

Methods:

this was an ecological time-series study based on compulsory notification of leprosy cases by the municipalities covered by the Imperatriz-MA Regional Health Management Unit, between 2008 and 2017; prevalence and mean prevalence for the period were calculated; spatial analysis of the area was carried out and maps were generated using ArcGis 10.5. Prais-Winsten regression was used for trend analysis.

Result:

4,029 cases of the disease were identified, and average prevalence ranged from 2.0 to 11.5 cases/10,000 inhabitants-year. The overall trend was downward. Governador Edson Lobão had the highest prevalence, 11.5 cases/10,000 inhabitants, and Lajeado Novo had the lowest prevalence, 2.0 cases/10,000 inhabitants.

Conclusion:

spatial distribution of leprosy cases was heterogeneous in the municipalities studied and prevalence had a falling trend.

Keywords:
Leprosy; Prevalence; Spatial Analysis; Epidemiology; Ecological Studies

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