Temporal evolution and spatial distribution of leprosy in a low endemic city in São Paulo, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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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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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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints - SciELO |
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