Estimating under reporting of Leprosy in Brazil using a bayesian approach

Detalhes bibliográficos
Autor(a) principal: Oliveira, Guilherme Lopes de
Data de Publicação: 2020
Outros Autores: Oliveira, Juliane Fonseca de, Andrade, Roberto Fernandes Silva, Nery, Joilda Silva, Pescarini, Júlia Moreira, Ichihara, Maria Yury Travassos, Smeeth, Liam, Brickley, Elizabeth B., Barreto, Maurício Lima, Penna, Gerson Oliveira, Penna, Maria Lucia Fernandes, Sanchez, Mauro Niskier
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/43826
Resumo: The Medical Research Council (MR / N017250 / 1), CONFAP / ESRC / MRC / BBSRC / CNPq / FAPDF - Doencas Negligenciadas (FAP-DF - Número 193.000.008 / 2016). Wellcome Trust (202912 / B / 16 / Z) e (CIDACS)
id CRUZ_76063d159afd1e1c13416863cc4dbeca
oai_identifier_str oai:www.arca.fiocruz.br:icict/43826
network_acronym_str CRUZ
network_name_str Repositório Institucional da FIOCRUZ (ARCA)
repository_id_str 2135
spelling Oliveira, Guilherme Lopes deOliveira, Juliane Fonseca deAndrade, Roberto Fernandes SilvaNery, Joilda SilvaPescarini, Júlia MoreiraIchihara, Maria Yury TravassosSmeeth, LiamBrickley, Elizabeth B.Barreto, Maurício LimaPenna, Gerson OliveiraPenna, Maria Lucia FernandesSanchez, Mauro Niskier2020-10-06T14:10:22Z2020-10-06T14:10:22Z2020OLIVEIRA, Guilherme L. de et al. Estimating under reporting of Leprosy in Brazil using a bayesian approach. BMJ, [London], p. 1-14, May 2020.0959-8138https://www.arca.fiocruz.br/handle/icict/4382610.1101/2020.05.22.20109900The Medical Research Council (MR / N017250 / 1), CONFAP / ESRC / MRC / BBSRC / CNPq / FAPDF - Doencas Negligenciadas (FAP-DF - Número 193.000.008 / 2016). Wellcome Trust (202912 / B / 16 / Z) e (CIDACS)Centro Federal de Educação Tecnológica de Minas Gerais. Departamento de Computação. Belo Horizonte. MG, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.London School of Hygiene and Tropical Medicine. Department of Infectious Disease Epidemiology. London, United Kingdom.London School of Hygiene and Tropical Medicine. Department of Infectious Disease Epidemiology. London, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.Fundação Oswaldo Cruz. Escola Fiocruz de Governo. Brasília, DF, Brasil / Universidade de Brasília. Faculdade de Medicina. Núcleo de Medicina Tropical. Brasília, DF, Brasil.Federal University Fluminens. Epidemiology and Biostatistics Department. Niterói, RJ, Brazil.Fundação Oswaldo Cruz. Escola Fiocruz de Governo. Brasília, DF, Brasil / Universidade de Brasília. Faculdade de Medicina. Núcleo de Medicina Tropical. Brasília, DF, Brasil.Leprosy remains an important health problem in Brazil - the country register the second largest number of new leprosy cases each year, accounting for 14% of the world's new cases in 2019. Although there was increasing advances in leprosy surveillance worldwide, the true number of leprosy cases is expected to be much larger than the reported. Leprosy underreporting impair planning effective interventions and thoughful decisions about the distribution of financial and health resources. In this study, we estimated leprosy underreporting for each Brazilian microregion in order to guide effective interventions and resouce allocation to improve leprosy detection in the country. We extracted the number of new cases of leprosy from 2007 to 2015 and population and socioeconomic information from the 2010 Census for each Brazilian municipality and grouped data in microregions. We applied a Bayesian hierarchical model to obtain the best explicative model for leprosy underreporing using Grade 2 of leprosy-related disabilities as a proxy to explain the incidence rates. Then, we estimated the number of missing leprosy cases (underreported cases) and the corrected leprosy incidence rates for each Brazilian microrregion.engBritish Medical AssociationHanseníaseDoenças negligenciadasNotificação de doençasLeprosy incidence rateUnderreportingBayesian hierarchical modelingEstimating under reporting of Leprosy in Brazil using a bayesian approachinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83074https://www.arca.fiocruz.br/bitstream/icict/43826/1/license.txtd3e717dbb24bfc607ede047f44d29a0eMD51ORIGINALGuilherme_Oliveira_etal_preprint_2020.pdfGuilherme_Oliveira_etal_preprint_2020.pdfapplication/pdf19291697https://www.arca.fiocruz.br/bitstream/icict/43826/2/Guilherme_Oliveira_etal_preprint_2020.pdf1a1fb37c5d46ce7654ce09a5827a6aceMD52TEXTGuilherme_Oliveira_etal_preprint_2020.pdf.txtGuilherme_Oliveira_etal_preprint_2020.pdf.txtExtracted texttext/plain49375https://www.arca.fiocruz.br/bitstream/icict/43826/3/Guilherme_Oliveira_etal_preprint_2020.pdf.txt07a6df7bf32714f26a844b09adf8c220MD53icict/438262020-10-07 02:10:35.966oai:www.arca.fiocruz.br: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Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352020-10-07T05:10:35Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.pt_BR.fl_str_mv Estimating under reporting of Leprosy in Brazil using a bayesian approach
title Estimating under reporting of Leprosy in Brazil using a bayesian approach
spellingShingle Estimating under reporting of Leprosy in Brazil using a bayesian approach
Oliveira, Guilherme Lopes de
Hanseníase
Doenças negligenciadas
Notificação de doenças
Leprosy incidence rate
Underreporting
Bayesian hierarchical modeling
title_short Estimating under reporting of Leprosy in Brazil using a bayesian approach
title_full Estimating under reporting of Leprosy in Brazil using a bayesian approach
title_fullStr Estimating under reporting of Leprosy in Brazil using a bayesian approach
title_full_unstemmed Estimating under reporting of Leprosy in Brazil using a bayesian approach
title_sort Estimating under reporting of Leprosy in Brazil using a bayesian approach
author Oliveira, Guilherme Lopes de
author_facet Oliveira, Guilherme Lopes de
Oliveira, Juliane Fonseca de
Andrade, Roberto Fernandes Silva
Nery, Joilda Silva
Pescarini, Júlia Moreira
Ichihara, Maria Yury Travassos
Smeeth, Liam
Brickley, Elizabeth B.
Barreto, Maurício Lima
Penna, Gerson Oliveira
Penna, Maria Lucia Fernandes
Sanchez, Mauro Niskier
author_role author
author2 Oliveira, Juliane Fonseca de
Andrade, Roberto Fernandes Silva
Nery, Joilda Silva
Pescarini, Júlia Moreira
Ichihara, Maria Yury Travassos
Smeeth, Liam
Brickley, Elizabeth B.
Barreto, Maurício Lima
Penna, Gerson Oliveira
Penna, Maria Lucia Fernandes
Sanchez, Mauro Niskier
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Guilherme Lopes de
Oliveira, Juliane Fonseca de
Andrade, Roberto Fernandes Silva
Nery, Joilda Silva
Pescarini, Júlia Moreira
Ichihara, Maria Yury Travassos
Smeeth, Liam
Brickley, Elizabeth B.
Barreto, Maurício Lima
Penna, Gerson Oliveira
Penna, Maria Lucia Fernandes
Sanchez, Mauro Niskier
dc.subject.other.pt_BR.fl_str_mv Hanseníase
Doenças negligenciadas
Notificação de doenças
topic Hanseníase
Doenças negligenciadas
Notificação de doenças
Leprosy incidence rate
Underreporting
Bayesian hierarchical modeling
dc.subject.en.pt_BR.fl_str_mv Leprosy incidence rate
Underreporting
Bayesian hierarchical modeling
description The Medical Research Council (MR / N017250 / 1), CONFAP / ESRC / MRC / BBSRC / CNPq / FAPDF - Doencas Negligenciadas (FAP-DF - Número 193.000.008 / 2016). Wellcome Trust (202912 / B / 16 / Z) e (CIDACS)
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-10-06T14:10:22Z
dc.date.available.fl_str_mv 2020-10-06T14:10:22Z
dc.date.issued.fl_str_mv 2020
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv OLIVEIRA, Guilherme L. de et al. Estimating under reporting of Leprosy in Brazil using a bayesian approach. BMJ, [London], p. 1-14, May 2020.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/43826
dc.identifier.issn.none.fl_str_mv 0959-8138
dc.identifier.doi.none.fl_str_mv 10.1101/2020.05.22.20109900
identifier_str_mv OLIVEIRA, Guilherme L. de et al. Estimating under reporting of Leprosy in Brazil using a bayesian approach. BMJ, [London], p. 1-14, May 2020.
0959-8138
10.1101/2020.05.22.20109900
url https://www.arca.fiocruz.br/handle/icict/43826
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Medical Association
publisher.none.fl_str_mv British Medical Association
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/43826/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/43826/2/Guilherme_Oliveira_etal_preprint_2020.pdf
https://www.arca.fiocruz.br/bitstream/icict/43826/3/Guilherme_Oliveira_etal_preprint_2020.pdf.txt
bitstream.checksum.fl_str_mv d3e717dbb24bfc607ede047f44d29a0e
1a1fb37c5d46ce7654ce09a5827a6ace
07a6df7bf32714f26a844b09adf8c220
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv repositorio.arca@fiocruz.br
_version_ 1813009107471302656

Registros relacionados