ArticleBMJ open2018
Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- Space-time clustering and temporal trend analysis of pulmonary tuberculosis in Brazil, 2010-2023.PloS one · 2026Article
- Projecting tuberculosis control progress in metropolitan and non-metropolitan areas of Brazil, 2001-2035: a Bayesian age-period-cohort analysis.Infectious diseases of poverty · 2025Article
- Epidemiological, Socioeconomic, and Health Service Factors Associated with Tuberculosis Treatment Interruption in Brazil.Epidemiologia (Basel, Switzerland) · 2025Article
- Associations of municipality-level income and racial segregation with individual-level tuberculosis treatment outcomes in Brazil: a nationwide cohort study (2010-2019).Journal of epidemiology and community health · 2025Article
- Temporal trends and regional clusters of tuberculosis-HIV coinfection outcomes in Brazil.Revista de saude publica · 2025Article
- Geoprogrammatic disparities in the performance of tuberculosis indicators in the homeless population in Brazil: an ecological approach.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023Article
- Factors associated with post-mortem notification of tuberculosis cases in Brazil, 2014.Cadernos de saude publica · 2023Article
- Excess tuberculosis cases and deaths following an economic recession in Brazil: an analysis of nationally representative disease registry data.The Lancet. Global health · 2022Article
- Surveillance Quality Indicators Highlight the Need for Improving Tuberculosis Diagnostics and Monitoring in a Hyperendemic Area of the Brazilian Amazon Region.Tropical medicine and infectious disease · 2022Article
- Mortality and survival of tuberculosis coinfected patients living with AIDS in São Paulo, Brazil: a 12-year cohort study.BMC infectious diseases · 2022Article
- Performance evaluation of tuberculosis control in Brazilian municipalities.Revista de saude publica · 2022Article
- [Tuberculosis and diabetes comorbidity in Brazil, 2012-2018: exploratory spatial data analysis and statistical modelingLa comorbilidad tuberculosis-diabetes en Brasil, 2012-2018: análisis exploratorio de la distribución espacial y modelización estadística].Revista panamericana de salud publica = Pan American journal of public health · 2022Article
- An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018.Frontiers in public health · 2021Article
- Association between economic development level and tuberculosis registered incidence in Shandong, China.BMC public health · 2020Article
- The burden of tuberculosis and attributable risk factors in Brazil, 1990-2017: results from the Global Burden of Disease Study 2017.Population health metrics · 2020Article
- Dichotomy in Fatal Outcomes in a Large Cohort of People Living with HTLV-1 in São Paulo, Brazil.Pathogens (Basel, Switzerland) · 2019Article
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Authors and funding
15 authors.
Funding
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Abstract
objectivesTo identify scenarios based on socioeconomic, epidemiological and operational healthcare factors associated with tuberculosis incidence in Brazil.
designEcological study. SETTINGS: The study was based on new patients with tuberculosis and epidemiological/operational variables of the disease from the Brazilian National Information System for Notifiable Diseases and the Mortality Information System. We also analysed socioeconomic and demographic variables.
participantsThe units of analysis were the Brazilian municipalities, which in 2015 numbered 5570 but 5 were excluded due to the absence of socioeconomic information. PRIMARY OUTCOME: Tuberculosis incidence rate in 2015. DATA ANALYSIS: We evaluated as independent variables the socioeconomic (2010), epidemiological and operational healthcare indicators of tuberculosis (2014 or 2015) using negative binomial regression. Municipalities were clustered by the k-means method considering the variables identified in multiple regression models.
resultsWe identified two clusters according to socioeconomic variables associated with the tuberculosis incidence rate (unemployment rate and household crowding): a higher socioeconomic scenario (n=3482 municipalities) with a mean tuberculosis incidence rate of 16.3/100 000 population and a lower socioeconomic scenario (2083 municipalities) with a mean tuberculosis incidence rate of 22.1/100 000 population. In a second stage of clusterisation, we defined four subgroups in each of the socioeconomic scenarios using epidemiological and operational variables such as tuberculosis mortality rate, AIDS case detection rate and proportion of vulnerable population among patients with tuberculosis. Some of the subscenarios identified were characterised by fragility in their information systems, while others were characterised by the concentration of tuberculosis cases in key populations.
conclusionClustering municipalities in scenarios allowed us to classify them according to the socioeconomic, epidemiological and operational variables associated with tuberculosis risk. This classification can support targeted evidence-based decisions such as monitoring data quality for improving the information system or establishing integrative social protective policies for key populations.
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