ArticlePLoS neglected tropical diseases2018
Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades.
Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- SBC Guideline on the Diagnosis and Treatment of Patients with Cardiomyopathy of Chagas Disease - 2023.Arquivos brasileiros de cardiologia · 2023Guideline
- Global, regional, and national burdens of pancreatitis in adults aged ≥65 years from 1992 to 2021: A trends analysis using data from the 2021 Global Burden of Disease Study.Journal of intensive medicine · 2026Article
- Trend dynamics of mumps prevalence among children aged 1-9 years in Changzhou, 2005-2023: a joinpoint regression and age-period-cohort analysis.BMC public health · 2025Article
- The burden of neurological diseases in G7 countries from 1990 to 2021 and projections for the next 30 years: a Global Burden of Disease study.Frontiers in public health · 2025Article
- Age, period, and cohort effects of Clonorchis sinensis infection prevalence in the Republic of Korea: Insights and projections.PLoS neglected tropical diseases · 2024Article
- Age-period-cohort analysis of epidemiological trends in pelvic fracture in China from 1992 to 2021 and forecasts for 2046.Frontiers in public health · 2024Article
- Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China.Epidemiology and health · 2024Article
- Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.Frontiers in public health · 2024Article
- Global, Regional, and National Prevalence of Gout From 1990 to 2019: Age-Period-Cohort Analysis With Future Burden Prediction.JMIR public health and surveillance · 2023Article
- Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022Article
- Mapping the morbidity and mortality of Chagas disease in an endemic area in Brazil.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022Article
- Chagas Disease-Related Mortality in Spain, 1997 to 2018.Microorganisms · 2021Article
- Chagas disease-related mortality in Colombia from 1979 to 2018: temporal and spatial trends.Revista da Sociedade Brasileira de Medicina Tropical · 2021Article
- Spatiotemporal trends of Chagas disease-related mortality in the Northeast of Brazil, 2007-2017.Parasitology · 2020Article
- Cardiovascular Statistics - Brazil 2020.Arquivos brasileiros de cardiologia · 2020Article
- Safety and immunogenicity of a recombinant vaccine against Trypanosoma cruzi in Rhesus macaques.Vaccine · 2020Article
- Age, Period and Cohort Analysis of Rates of Emergency Department Visits Due to Pneumonia in Taiwan, 1998-2012.Risk management and healthcare policy · 2020Article
- Cardiac Chagas Disease: MMPs, TIMPs, Galectins, and TGF-Disease markers · 2019Review
- Global, Regional, and National Burden of Atherosclerotic Cardiovascular Disease in Pre- and Post-Menopausal Women: 1990-2021 Trends and 2041 Projections from the Global Burden of Disease Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Abstract
backgroundChagas disease (CD) is a neglected chronic parasitic infection and a public health problem that is preventable, and has serious complications. In this study, the effects of age, period and birth cohort (APC Effects) on the evolution of the mortality of that disease in Brazil, from 1980-2014, according to sex and geographic region of the country, were analyzed. Mortality forecasts from the years 2015 to 2034 were estimated.
methodsThis is an ecological cross-sectional study in which death records and population data were extracted from the DATASUS (Department of Information Technology of the National Health System) website, in age groups from 20-24 years of age to 80 years and over, from 1980 to 2014. The rates were standardized according to age and sex distributions using the direct method. The APC models were estimated using the Bayesian approach, and the INLA (Integrated Nested Laplace Approximations) method was used for parameter inference. Super dispersion of the data was considered, and we included unstructured random terms in the models.
resultsDuring the analyzed period, there were 178,823 deaths in Brazil (3.85 annual deaths per 100,000 inhabitants). It was found that temporal effects on CD mortality varied by sex and region. In general, there was an increase in mortality rates up to 30 years of age, and the mortality rates were higher between 50 and 64 years of age. On average, men died five years younger than women. Mortality rates were highest in the Central West and Southeast regions. The Central West, Southeast and Southern regions had a reduction over time in the rate of CD deaths between 2000 and 2014. The mortality rate in the Northeast was not statistically different in any period analyzed, while the North had tendency to increase; however, a significant risk increase was only observed between 1995 and 1999. The rate of mortality was high in older birth cohorts. The overall prediction for the next two decades showed a progressive decline in CD mortality, which will be highest among the young. The expected average reduction was 76.1% compared to the last observed period (2010-2014) and the last predicted (2030-2034) period. The average reduction ranged from 86% in the 20-24 age group to 50% in the 80 and over age group.
conclusionsIn the present study, a higher death rate was observed for ages above 30 years, especially 50 to 64 years, and in the older birth cohorts. We believe these results can be related to period effects of vector control actions and preventive and care measures by the health system of Brazil, in addition to demographic changes in the period. The differences among the regions reflect socioeconomic inequities and access to the healthcare systems in the Brazilian population.
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