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

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...

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Main Authors: Sales, Carolina Maia Martins, Sanchez, Mauro Niskier, Ramalho, Walter, Bertolde, Adelmo Inácio, Maciel, Ethel Leonor Noia
Format: Artigo
Language: English
Published: Sociedade Brasileira de Medicina Tropical - SBMT 2019
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Online Access: http://repositorio.unb.br/handle/10482/33320
http://dx.doi.org/10.1590/0037-8682-0015-2018
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spelling ir-10482-333202019-02-22T15:50:52Z Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil Sales, Carolina Maia Martins Sanchez, Mauro Niskier Ramalho, Walter Bertolde, Adelmo Inácio Maciel, Ethel Leonor Noia Tuberculose Epidemiologia Indicadores de saúde Análise espacial 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. 2019-01-02T13:50:26Z 2019-01-02T13:50:26Z 2018 Artigo SALES, Carolina Maia Martins et al . Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil. Revista da Sociedade Brasileira de Medicina Tropical, Uberaba, v. 51, n. 5, p. 638-643, set./out. 2018. DOI: http://dx.doi.org/10.1590/0037-8682-0015-2018. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000500638&lng=en&nrm=iso. Acesso em: 22 fev. 2019. http://repositorio.unb.br/handle/10482/33320 http://dx.doi.org/10.1590/0037-8682-0015-2018 en Acesso Aberto (CC BY) - This is an open-access article distributed under the terms of the Creative Commons Attribution License. Fonte: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822018000500638&lng=en&nrm=iso. Acesso em: 22 fev. 2019. application/pdf Sociedade Brasileira de Medicina Tropical - SBMT
institution REPOSITORIO UNB
collection REPOSITORIO UNB
language English
topic Tuberculose
Epidemiologia
Indicadores de saúde
Análise espacial
spellingShingle Tuberculose
Epidemiologia
Indicadores de saúde
Análise espacial
Sales, Carolina Maia Martins
Sanchez, Mauro Niskier
Ramalho, Walter
Bertolde, Adelmo Inácio
Maciel, Ethel Leonor Noia
Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
description 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.
format Artigo
author Sales, Carolina Maia Martins
Sanchez, Mauro Niskier
Ramalho, Walter
Bertolde, Adelmo Inácio
Maciel, Ethel Leonor Noia
author_sort Sales, Carolina Maia Martins
title Social determinants of tuberculosis via a zero-inflated model in small areas of a city in Southeastern Brazil
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
publisher Sociedade Brasileira de Medicina Tropical - SBMT
publishDate 2019
url http://repositorio.unb.br/handle/10482/33320
http://dx.doi.org/10.1590/0037-8682-0015-2018
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