Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Sales,Carolina Maia Martins
Data de Publicação: 2018
Outros Autores: Sanchez,Mauro Niskier, Ramalho,Walter, Bertolde,Adelmo Inácio, Maciel,Ethel Leonor Noia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Sociedade Brasileira de Medicina Tropical
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000500638
Resumo: Abstract INTRODUCTION: This study aimed to analyze social factors involved in the spatial distribution and under-reporting of tuberculosis (TB) in the city of Vitória, Espírito Santo State, Brazil. METHODS: This was an ecological study of the reported cases of TB between 2009 and 2011, according to census tracts. The outcome was TB incidence for the study period and the variables of exposure were proportions of literacy, inhabitants with an income of up to half the minimum monthly wage (MMW), and inhabitants associated with sewer mains or with access to safe drinking water. We used a zero-inflated process, zero-inflated negative binomial regression (ZINB), and selected an explanatory model based on the Akaike Information Criterion (AIC). RESULTS: A total of 588 cases of tuberculosis were reported in Vitória during the study period, distributed among 223 census tracts (38.6%), with 354 (61.4%) tracts presenting zero cases. In the ZINB model, the mean value of p i was 0.93, indicating that there is a 93% chance that an observed false zero could be due to sub-notification. CONCLUSIONS: It is important to prioritize areas exhibiting determinants that influence the occurrence of TB in the municipality of Vitória. The zero-inflated model can be useful to the public health sector since it identifies the percentage of false zeros, generating an estimate of the real epidemiological condition of TB in Vitória.
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spelling Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern BrazilTuberculosisEpidemiologySocial determinants of healthSpatial analysisStatistical modelNegative binomial distributionAbstract INTRODUCTION: This study aimed to analyze social factors involved in the spatial distribution and under-reporting of tuberculosis (TB) in the city of Vitória, Espírito Santo State, Brazil. METHODS: This was an ecological study of the reported cases of TB between 2009 and 2011, according to census tracts. The outcome was TB incidence for the study period and the variables of exposure were proportions of literacy, inhabitants with an income of up to half the minimum monthly wage (MMW), and inhabitants associated with sewer mains or with access to safe drinking water. We used a zero-inflated process, zero-inflated negative binomial regression (ZINB), and selected an explanatory model based on the Akaike Information Criterion (AIC). RESULTS: A total of 588 cases of tuberculosis were reported in Vitória during the study period, distributed among 223 census tracts (38.6%), with 354 (61.4%) tracts presenting zero cases. In the ZINB model, the mean value of p i was 0.93, indicating that there is a 93% chance that an observed false zero could be due to sub-notification. CONCLUSIONS: It is important to prioritize areas exhibiting determinants that influence the occurrence of TB in the municipality of Vitória. The zero-inflated model can be useful to the public health sector since it identifies the percentage of false zeros, generating an estimate of the real epidemiological condition of TB in Vitória.Sociedade Brasileira de Medicina Tropical - SBMT2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000500638Revista da Sociedade Brasileira de Medicina Tropical v.51 n.5 2018reponame:Revista da Sociedade Brasileira de Medicina Tropicalinstname:Sociedade Brasileira de Medicina Tropical (SBMT)instacron:SBMT10.1590/0037-8682-0015-2018info:eu-repo/semantics/openAccessSales,Carolina Maia MartinsSanchez,Mauro NiskierRamalho,WalterBertolde,Adelmo InácioMaciel,Ethel Leonor Noiaeng2019-07-29T00:00:00Zoai:scielo:S0037-86822018000500638Revistahttps://www.sbmt.org.br/portal/revista/ONGhttps://old.scielo.br/oai/scielo-oai.php||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br1678-98490037-8682opendoar:2019-07-29T00:00Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)false
dc.title.none.fl_str_mv Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
title Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
spellingShingle Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
Sales,Carolina Maia Martins
Tuberculosis
Epidemiology
Social determinants of health
Spatial analysis
Statistical model
Negative binomial distribution
title_short Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
title_full Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
title_fullStr Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
title_full_unstemmed Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
title_sort Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
author Sales,Carolina Maia Martins
author_facet Sales,Carolina Maia Martins
Sanchez,Mauro Niskier
Ramalho,Walter
Bertolde,Adelmo Inácio
Maciel,Ethel Leonor Noia
author_role author
author2 Sanchez,Mauro Niskier
Ramalho,Walter
Bertolde,Adelmo Inácio
Maciel,Ethel Leonor Noia
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Sales,Carolina Maia Martins
Sanchez,Mauro Niskier
Ramalho,Walter
Bertolde,Adelmo Inácio
Maciel,Ethel Leonor Noia
dc.subject.por.fl_str_mv Tuberculosis
Epidemiology
Social determinants of health
Spatial analysis
Statistical model
Negative binomial distribution
topic Tuberculosis
Epidemiology
Social determinants of health
Spatial analysis
Statistical model
Negative binomial distribution
description Abstract INTRODUCTION: This study aimed to analyze social factors involved in the spatial distribution and under-reporting of tuberculosis (TB) in the city of Vitória, Espírito Santo State, Brazil. METHODS: This was an ecological study of the reported cases of TB between 2009 and 2011, according to census tracts. The outcome was TB incidence for the study period and the variables of exposure were proportions of literacy, inhabitants with an income of up to half the minimum monthly wage (MMW), and inhabitants associated with sewer mains or with access to safe drinking water. We used a zero-inflated process, zero-inflated negative binomial regression (ZINB), and selected an explanatory model based on the Akaike Information Criterion (AIC). RESULTS: A total of 588 cases of tuberculosis were reported in Vitória during the study period, distributed among 223 census tracts (38.6%), with 354 (61.4%) tracts presenting zero cases. In the ZINB model, the mean value of p i was 0.93, indicating that there is a 93% chance that an observed false zero could be due to sub-notification. CONCLUSIONS: It is important to prioritize areas exhibiting determinants that influence the occurrence of TB in the municipality of Vitória. The zero-inflated model can be useful to the public health sector since it identifies the percentage of false zeros, generating an estimate of the real epidemiological condition of TB in Vitória.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0037-8682-0015-2018
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina Tropical - SBMT
publisher.none.fl_str_mv Sociedade Brasileira de Medicina Tropical - SBMT
dc.source.none.fl_str_mv Revista da Sociedade Brasileira de Medicina Tropical v.51 n.5 2018
reponame:Revista da Sociedade Brasileira de Medicina Tropical
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reponame_str Revista da Sociedade Brasileira de Medicina Tropical
collection Revista da Sociedade Brasileira de Medicina Tropical
repository.name.fl_str_mv Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)
repository.mail.fl_str_mv ||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br
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