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Epidemiologia e Serviços de Saúde

versión impresa ISSN 1679-4974versión On-line ISSN 2337-9622

Epidemiol. Serv. Saúde vol.28 no.2 Brasília jun. 2019  Epub 27-Jun-2019

http://dx.doi.org/10.5123/s1679-49742019000200003 

Corrige el artículo: 10.5123/S1679-49742019000100015

ERRATA

Errata

No artigo “Transmissão da hanseníase na Bahia, 2001-2015: modelagem a partir de regressão por pontos de inflexão e estatística de varredura espacial”, com número de DOI: 10.5123/S1679-49742019000100015, publicado na revista Epidemiologia e Serviços de Saúde, 28(1):1-12:

Onde se lia:

Abstract

Objective: to describe the trend and the spatial distribution of leprosy in the state of Bahia, Brazil, 2001-2015.

Methods: this was a mixed ecological study of epidemiological indicators of leprosy; jointpoint regression was used for the temporal analysis, while spatial scan statistics were used to identify clusters of the disease; the trend was classified as stationary, increasing or decreasing; we calculated the annual percent change (APC) and average annual percent change (AAPC).

Results: there was a reduction in prevalence (AAPC = -5.6; p<0,001), treatment dropout (AAPC = -13.7; p<0.001), and females with leprosy (AAPC = -0.6; p<0.001); the new grade II case coefficient (AAPC = 2.7; p<0.001) and the proportion of multibacillary cases (AAPC = 2,2; p<0.001) showed a growing trend; spatial distribution was heterogeneous and concentrated in three regions in particular (north, west and south of the state), with variation between the indicators.

Conclusion: persisting leprosy transmission in the state, late diagnosis and high hidden prevalence is suggested.

Keywords: Leprosy; Spatial Analysis; Neglected Diseases; Time Series Studies; Ecological Studies.

Leia-se:

Objective: to describe the trend and the spatial distribution of leprosy in the state of Bahia, Brazil, 2001-2015.

Methods: this was a mixed ecological study of epidemiological indicators of leprosy; joinpoint regression was used for the temporal analysis, while spatial scan statistics were used to identify clusters of the disease; the trend was classified as stationary, increasing or decreasing; we calculated the annual percent change (APC) and average annual percent change (AAPC).

Results: there was a reduction in prevalence (AAPC = -5.6; p<0,001), treatment dropout (AAPC = -13.7; p<0.001), and females with leprosy (AAPC = -0.6; p<0.001); the new grade II case coefficient (AAPC = 2.7; p<0.001) and the proportion of multibacillary cases (AAPC = 2,2; p<0.001) showed a growing trend; spatial distribution was heterogeneous and concentrated in three regions in particular (north, west and south of the state), with variation between the indicators.

Conclusion: persisting leprosy transmission in the state, late diagnosis and high hidden prevalence is suggested.

Keywords: Leprosy; Spatial Analysis; Neglected Diseases; Time Series Studies; Ecological Studies.

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