- •This study provides a complete picture of how fast active tuberculosis emerge in prison population.
- •The speed of becoming ill from tuberculosis increases when inmates are exposed to higher overcrowded settings.
- •Higher physical space per person in the cell increases the tuberculosis-free survival time.
- •This study supports the need for a drastic reduction in overcrowding and an increase in physical space to control tuberculosis in prison population.
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- Tuberculosis incidence in prisons: a systematic review.PLoS Med. 2010; 7e1000381
Ministério da Saúde (BR), Departamento de Informática do SUS. Informações de saúde (TABNET): tuberculose. 2019. Accessed May 5, 2021. http://www2.datasus.gov.br/DATASUS/index.php?area=02
- Impact of incarceration on tuberculosis incidence and its interaction with income distribution inequality in Brazil.Trans R Soc Trop Med Hyg. 2020; 114: 23-30
- Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: an observational and modeling study from Brazil.PLoS Med. 2019; 16e1002737
- Prisons as reservoir for community transmission of tuberculosis, Brazil.Emerg Infect Dis. 2015; 21
- Smear positive pulmonary tuberculosis and HIV co-infection in prison settings of North Gondar Zone, Northwest Ethiopia.BMC Public Health. 2016; 16: 1091
- Risk factors for developing tuberculosis in remand prisons in St. Petersburg, Russia - a case-control study.Eur J Epidemiol. 2007; 22: 121-127
- Controlling tuberculosis in prisons against confinement conditions: a lost case? Experience from Cameroon.Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2011; 15 (i): 223-227
- Prevalence of tuberculosis and associated risk factors in the Central Prison of Mbuji-Mayi, Democratic Republic of Congo.Trop Med Health. 2016; 44: 30
- Tuberculosis in a South African prison - a transmission modelling analysis.South Afr Med J Suid-Afr Tydskr Vir Geneeskd. 2011; 101: 809-813
- The impact of ventilation and early diagnosis on tuberculosis transmission in Brazilian prisons.Am J Trop Med Hyg. 2015; 93: 739-746
- Modelling the impact of different tuberculosis control interventions on the prevalence of tuberculosis in an overcrowded prison.Asia Pac J Public Health. 2018; 30: 235-243
Ministério da Justiça (BR). Levantamento Nacional de Informações Penitenciárias — Infopen. 2017. Accessed May 5, 2021. http://dados.mj.gov.br/dataset/infopen-levantamento-nacional-de-informacoes-penitenciarias.
- Methodological issues in quantifying the magnitude of the tuberculosis problem in a prison population.Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2011; 15: 662-667
- Manual de Utilização do TBWEB- V 1.6.Secretaria de Saúde do Estado de São Paulo, São Paulo2008 (Accessed May 5, 2021.)
- Manual de intervenções ambientais para o controle da tuberculose em prisões.1st ed. Departamento Penitenciário Nacional, Brazil Rio de Janeiro2012 (Accessed May 15, 2021)http://bvsms.saude.gov.br/bvs/publicacoes/manual_intervencoes_ambientais_controle_tuberculose_prisoes.pdf
- Survival Analysis Reference Manual.Stata Press, Texas2021
Colosimo EA, Giolo SR. Análise de sobrevivência aplicada. 1st ed. Brazil [São Paulo]: Edgar Blücher, 2006. Portuguese.
- Survival Analysis.3rd ed. Springer, New York2012
- Causal diagrams for epidemiologic research.Epidemiol Camb Mass. 1999; 10: 37-48
- Are directed acyclic graphs (dags) an important tool to perform observational studies? reflections from a case in burned patients.Ann Burns Fire Disasters. 2018; 31: 73-74
- Robust causal inference using directed acyclic graphs: the R package ‘dagitty’.Int J Epidemiol. 2016; 45: 1887-1894
Textor J. Drawing and Analyzing Causal DAGs with DAGitty. 2015. Accessed September 26, 2021. http://www.dagitty.net/manual-2.x.pdf
- Modern Epidemiology.3rd ed. Brown and Company, Boston [MA]2008
- Household crowding as a potential mediator of socioeconomic determinants of tuberculosis incidence in Brazil.Plos One. 2017; 12e017611
Funding: F.A.D-Q. Beneficiary of a fellowship for research productivity from the National Council for Scientific and Technological Development - CNPq, process/contract identification: 312656/2019-0.
Conflicts of interest: None to report.