Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil

Detalhes bibliográficos
Autor(a) principal: Ramos, Antônio Carlos Vieira
Data de Publicação: 2022
Outros Autores: Martoreli Júnior, José Francisco, Berra, Thaís Zamboni, Alves, Yan Mathias, Barbosa, Tatiana Pestana, Scholze, Alessandro Rolim, Assis, Ivaneliza Simionato de, Palha, Pedro Fredemir, Gomes, Dulce, Arcêncio, Ricardo Alexandre
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/3513
Resumo: Objective: To analyze the spatial and temporal distribution of leprosy in a scenario of low endemicity in the state of São Paulo, Brazil. Methods: Ecological study with leprosy casesin Ribeirão Preto, between 2006 to 2016. The temporal trend of leprosy detection was verified through the decomposition of time series and identified areas of high and low occurrence of the disease using the Getis-Ord Gi* technique. Results: There were 890 cases and the detection rate showed an increasing trend in the period from 2011 to 2015, with an average growth of 1% per month. Areas of high occurrence of the disease were identified in the northern region of the city (99% and 95% confidence). Conclusion: The temporal analysis showed that the rate of detection of leprosy showed an increasing trend, and the spatial analysis showed that the region of the municipality with the highest occurrence of the disease is characterized by presenting the greatest social inequalities.
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spelling Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, BrazilEvolución temporal y distribución espacial de la lepra en una ciudad de baja endemia de São Paulo, BrasilEvolução temporal e distribuição espacial da hanseníase em município de baixa endemicidade em São PauloHanseníaseEpidemiologiaAnálise EspacialEstudos de Séries TemporaisEstudos EcológicosLeprosyEpidemiologySpatial AnalysisTime Series StudiesEcological StudiesLepraEpidemiologíaAnálisis EspacialEstudios de Series TemporalesEstudios EcológicosObjective: To analyze the spatial and temporal distribution of leprosy in a scenario of low endemicity in the state of São Paulo, Brazil. Methods: Ecological study with leprosy casesin Ribeirão Preto, between 2006 to 2016. The temporal trend of leprosy detection was verified through the decomposition of time series and identified areas of high and low occurrence of the disease using the Getis-Ord Gi* technique. Results: There were 890 cases and the detection rate showed an increasing trend in the period from 2011 to 2015, with an average growth of 1% per month. Areas of high occurrence of the disease were identified in the northern region of the city (99% and 95% confidence). Conclusion: The temporal analysis showed that the rate of detection of leprosy showed an increasing trend, and the spatial analysis showed that the region of the municipality with the highest occurrence of the disease is characterized by presenting the greatest social inequalities.Objetivo: Analizar la distribución espacial y temporal de la lepra en un escenario de baja endemicidad en el estado de São Paulo, Brasil. Métodos: Estudio ecológico con casos de lepra de Ribeirão Preto, entre 2006 y 2016. La tendencia temporal de la detección de lepra se verificó a través de la descomposición de series de tiempo e identificaron áreas 5 de alta y baja ocurrencia utilizando la técnica Getis-Ord Gi*. Resultados: Fueran 890 casos y la tasa de detección mostró una tendencia creciente en el período de 2011 a 2015, con un crecimiento promedio de 1% mensual. Se identificaron áreas de alta ocurrencia de la enfermedad en la región norte de la ciudad (99% y 95% de confianza). Conclusión: El análisis temporal mostró que la tasa de detección de lepra mostró una tendencia creciente y análisis espacial mostró que la región del municipio con mayor ocurrencia de la enfermedad se caracteriza por presentar las mayores desigualdades sociale.Objetivo: Analisar a distribuição espacial e temporal da hanseníase em cenário de baixa endemicidade no estado de São Paulo, Brasil. Métodos: Estudo ecológico, sobre casos de hanseníase notificados em no município de Ribeirão Preto, entre 2006 e 2016. A tendência temporal da taxa de detecção de hanseníase foi verificada mediante decomposição de séries temporais, e identificadas as áreas de alta e de baixa ocorrência da doença utilizando-se a técnica Getis-Ord Gi*. Resultados: Foram 890 casos, e a taxa de detecção apresentou uma tendência crescente no período analisado, com crescimento médio de 1% ao mês. Identificou-se áreas de alta ocorrência da doença na região norte do município (99% e 95% de confiança). Conclusão: A taxa de detecção de hanseníase apresentou tendência temporal crescente, e a análise espacial permitiu visualizar que a 4 região do município com maior ocorrência da doença se caracteriza por apresentar as maiores desigualdades sociais.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-01-19info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/351310.1590/S1679-497420220001000018porhttps://preprints.scielo.org/index.php/scielo/article/view/3513/6434Copyright (c) 2022 Antônio Carlos Vieira Ramos, José Francisco Martoreli Júnior, Thaís Zamboni Berra, Yan Mathias Alves, Tatiana Pestana Barbosa, Alessandro Rolim Scholze, Ivaneliza Simionato de Assis, Pedro Fredemir Palha, Dulce Gomes, Ricardo Alexandre Arcênciohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRamos, Antônio Carlos VieiraMartoreli Júnior, José FranciscoBerra, Thaís ZamboniAlves, Yan MathiasBarbosa, Tatiana PestanaScholze, Alessandro RolimAssis, Ivaneliza Simionato dePalha, Pedro FredemirGomes, Dulce Arcêncio, Ricardo Alexandrereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-01-19T12:55:20Zoai:ops.preprints.scielo.org:preprint/3513Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-01-19T12:55:20SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
Evolución temporal y distribución espacial de la lepra en una ciudad de baja endemia de São Paulo, Brasil
Evolução temporal e distribuição espacial da hanseníase em município de baixa endemicidade em São Paulo
title Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
spellingShingle Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
Ramos, Antônio Carlos Vieira
Hanseníase
Epidemiologia
Análise Espacial
Estudos de Séries Temporais
Estudos Ecológicos
Leprosy
Epidemiology
Spatial Analysis
Time Series Studies
Ecological Studies
Lepra
Epidemiología
Análisis Espacial
Estudios de Series Temporales
Estudios Ecológicos
title_short Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
title_full Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
title_fullStr Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
title_full_unstemmed Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
title_sort Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
author Ramos, Antônio Carlos Vieira
author_facet Ramos, Antônio Carlos Vieira
Martoreli Júnior, José Francisco
Berra, Thaís Zamboni
Alves, Yan Mathias
Barbosa, Tatiana Pestana
Scholze, Alessandro Rolim
Assis, Ivaneliza Simionato de
Palha, Pedro Fredemir
Gomes, Dulce
Arcêncio, Ricardo Alexandre
author_role author
author2 Martoreli Júnior, José Francisco
Berra, Thaís Zamboni
Alves, Yan Mathias
Barbosa, Tatiana Pestana
Scholze, Alessandro Rolim
Assis, Ivaneliza Simionato de
Palha, Pedro Fredemir
Gomes, Dulce
Arcêncio, Ricardo Alexandre
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ramos, Antônio Carlos Vieira
Martoreli Júnior, José Francisco
Berra, Thaís Zamboni
Alves, Yan Mathias
Barbosa, Tatiana Pestana
Scholze, Alessandro Rolim
Assis, Ivaneliza Simionato de
Palha, Pedro Fredemir
Gomes, Dulce
Arcêncio, Ricardo Alexandre
dc.subject.por.fl_str_mv Hanseníase
Epidemiologia
Análise Espacial
Estudos de Séries Temporais
Estudos Ecológicos
Leprosy
Epidemiology
Spatial Analysis
Time Series Studies
Ecological Studies
Lepra
Epidemiología
Análisis Espacial
Estudios de Series Temporales
Estudios Ecológicos
topic Hanseníase
Epidemiologia
Análise Espacial
Estudos de Séries Temporais
Estudos Ecológicos
Leprosy
Epidemiology
Spatial Analysis
Time Series Studies
Ecological Studies
Lepra
Epidemiología
Análisis Espacial
Estudios de Series Temporales
Estudios Ecológicos
description Objective: To analyze the spatial and temporal distribution of leprosy in a scenario of low endemicity in the state of São Paulo, Brazil. Methods: Ecological study with leprosy casesin Ribeirão Preto, between 2006 to 2016. The temporal trend of leprosy detection was verified through the decomposition of time series and identified areas of high and low occurrence of the disease using the Getis-Ord Gi* technique. Results: There were 890 cases and the detection rate showed an increasing trend in the period from 2011 to 2015, with an average growth of 1% per month. Areas of high occurrence of the disease were identified in the northern region of the city (99% and 95% confidence). Conclusion: The temporal analysis showed that the rate of detection of leprosy showed an increasing trend, and the spatial analysis showed that the region of the municipality with the highest occurrence of the disease is characterized by presenting the greatest social inequalities.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/3513
10.1590/S1679-497420220001000018
url https://preprints.scielo.org/index.php/scielo/preprint/view/3513
identifier_str_mv 10.1590/S1679-497420220001000018
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/3513/6434
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info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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repository.mail.fl_str_mv scielo.submission@scielo.org
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