Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()

This study analyzed the trend of leprosy indicators in Sergipe, between 2001 and 2015. It was a time series study that analyzed the trend for general detection coefficient, children under 15 years of age, and new cases with grade 2 disability. The joinpoint model was used. Two (2.6%) municipalities...

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Autores principales: Souza, Carlos Dornels Freire de, Leal, Thiago Cavalcanti, Paiva, João Paulo Silva de, Santos, Victor Santana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Dermatologia 2020
Materias:
Tropical/Infectoparasitary Dermatology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335874/
https://www.ncbi.nlm.nih.gov/pubmed/32522447
http://dx.doi.org/10.1016/j.abd.2019.07.015
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author Souza, Carlos Dornels Freire de
Leal, Thiago Cavalcanti
Paiva, João Paulo Silva de
Santos, Victor Santana
author_facet Souza, Carlos Dornels Freire de
Leal, Thiago Cavalcanti
Paiva, João Paulo Silva de
Santos, Victor Santana
author_sort Souza, Carlos Dornels Freire de
collection PubMed
description This study analyzed the trend of leprosy indicators in Sergipe, between 2001 and 2015. It was a time series study that analyzed the trend for general detection coefficient, children under 15 years of age, and new cases with grade 2 disability. The joinpoint model was used. Two (2.6%) municipalities had an increasing trend in general detection coefficient, five (6.6%) had an increasing trend in detection rate in children under 15, and 19 (25.3%) had an increasing trend in detection coefficient of new leprosy cases with grade 2 disability. The findings suggest maintenance of the chain of transmission.
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spelling pubmed-73358742020-07-07 Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()() Souza, Carlos Dornels Freire de Leal, Thiago Cavalcanti Paiva, João Paulo Silva de Santos, Victor Santana An Bras Dermatol Tropical/Infectoparasitary Dermatology This study analyzed the trend of leprosy indicators in Sergipe, between 2001 and 2015. It was a time series study that analyzed the trend for general detection coefficient, children under 15 years of age, and new cases with grade 2 disability. The joinpoint model was used. Two (2.6%) municipalities had an increasing trend in general detection coefficient, five (6.6%) had an increasing trend in detection rate in children under 15, and 19 (25.3%) had an increasing trend in detection coefficient of new leprosy cases with grade 2 disability. The findings suggest maintenance of the chain of transmission. Sociedade Brasileira de Dermatologia 2020 2020-05-19 /pmc/articles/PMC7335874/ /pubmed/32522447 http://dx.doi.org/10.1016/j.abd.2019.07.015 Text en © 2020 Sociedade Brasileira de Dermatologia. Published by Elsevier España, S.L.U. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Tropical/Infectoparasitary Dermatology
Souza, Carlos Dornels Freire de
Leal, Thiago Cavalcanti
Paiva, João Paulo Silva de
Santos, Victor Santana
Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title_full Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title_fullStr Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title_full_unstemmed Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title_short Epidemiological monitoring of leprosy indicators in Sergipe (2001–2015): segmented regression analysis()()
title_sort epidemiological monitoring of leprosy indicators in sergipe (2001–2015): segmented regression analysis()()
topic Tropical/Infectoparasitary Dermatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335874/
https://www.ncbi.nlm.nih.gov/pubmed/32522447
http://dx.doi.org/10.1016/j.abd.2019.07.015
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