38 datasets found
  1. Deaths due to dengue in Brazil 2017-2025

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Deaths due to dengue in Brazil 2017-2025 [Dataset]. https://www.statista.com/statistics/797680/number-deaths-dengue-fever-brazil/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    From January to July 2025, the number of confirmed deaths due to dengue fever in Brazil amounted to ***** cases, the highest value reported during the analyzed period. This represents a marked increase in comparison to the previous year. In contrast, the lowest number of deaths due to the disease reached around *** cases in 2017. Brazil saw a substantial increase in dengue cases in 2023 and 2024, with an incidence rate surpassing the ***** cases per 100,000 people in 2024.

  2. Data from: Estimated mortality rate and leading causes of death among...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    jpeg
    Updated Jun 3, 2023
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    Livia Carla Vinhal Frutuoso; André Ricardo Ribas Freitas; Luciano Pamplona de Góes Cavalcanti; Elisabeth Carmen Duarte (2023). Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.12127230.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Livia Carla Vinhal Frutuoso; André Ricardo Ribas Freitas; Luciano Pamplona de Góes Cavalcanti; Elisabeth Carmen Duarte
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Abstract INTRODUCTION: In 2014, the first cases of autochthonous chikungunya (CHIK) were recorded in Brazil. Lethality associated with this disease is underestimated. Thus, this study aimed to analyze the causes of death among individuals with CHIK in Brazil. METHODS: A descriptive observational study was conducted on individuals with CHIK who died within 6 months from symptom onset. Data pairing between the Information System for Notifiable Diseases and the Mortality Information System was performed. Deaths were classified according to case confirmation criterion, mention of CHIK in the death certificates (DCs), and disease phase. The lethality rate per 1,000 cases was corrected for underreporting and was estimated according to region, sex, age, years of education, race/color, and cause groups. RESULTS: We identified 3,135 deaths (mention of CHIK in the DCs, 764 [24.4%]). In 17.6% of these cases, CHIK was the underlying cause. Most deaths occurred in the acute (38.1%) and post-acute (29.6%) phases. The corrected LR (5.7; x1,000) was 6.8 times higher than that obtained from the Information System for Notifiable Diseases (0.8). The highest corrected LRs were estimated for among individuals living in the Northeast region (6.2), men (7.4), those with low years of education and those aged

  3. f

    Data from: Mortality and causes of deaths in prisons in Rio de Janeiro,...

    • datasetcatalog.nlm.nih.gov
    Updated May 30, 2022
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    Camacho, Luiz Antônio Bastos; Larouze, Bernard; de Toledo, Celina Roma Sánchez; Sánchez, Alexandra (2022). Mortality and causes of deaths in prisons in Rio de Janeiro, Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000410239
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    Dataset updated
    May 30, 2022
    Authors
    Camacho, Luiz Antônio Bastos; Larouze, Bernard; de Toledo, Celina Roma Sánchez; Sánchez, Alexandra
    Area covered
    Brazil, Rio de Janeiro
    Description

    Abstract: Mortality in prisons, a basic indicator of the right to health for incarcerated persons, has never been studied extensively in Brazil. An assessment of all-cause and cause-specific mortality in prison inmates was conducted in 2016-2017 in the state of Rio de Janeiro, based on data from the Mortality Information System and Prison Administration. Mortality rates were compared between prison population and general population after standardization. The leading causes of death in inmates were infectious diseases (30%), cardiovascular diseases (22%), and external causes (12%). Infectious causes featured HIV/AIDS (43%) and TB (52%, considering all deaths with mention of TB). Only 0.7% of inmates who died had access to extramural health services. All-cause mortality rate was higher among prison inmates than in the state’s general population. Among inmates, mortality from infectious diseases was 5 times higher, from TB 15 times higher, and from endocrine diseases (especially diabetes) and cardiovascular diseases 1.5 and 1.3 times higher, respectively, while deaths from external causes were less frequent in prison inmates. The study revealed important potentially avoidable excess deaths in prisons, reflecting lack of care and exclusion of this population from the Brazilian Unified National Health System. This further highlights the need for a precise and sustainable real-time monitoring system for deaths, in addition to restructuring of the prison staff through implementation of the Brazilian National Policy for Comprehensive Healthcare for Persons Deprived of Freedom in the Prison System in order for inmates to fully access their constitutional right to health with the same quality and timeliness as the general population.

  4. Malaria deaths in Brazil 2010-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Malaria deaths in Brazil 2010-2023 [Dataset]. https://www.statista.com/statistics/998644/number-deaths-malaria-brazil/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, a total of ** deaths due to malaria were reported in Brazil, up from ** deaths registered a year earlier. The number of deaths caused by malaria decreased in the South American country between 2010 and 2017. However, the most recent numbers showed an increase in the number of deceases. During the last year analyzed, malaria cases in Brazil surpassed ******* infections.

  5. Additional file 1 of Trends in prevalence and mortality burden attributable...

    • springernature.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Deborah Carvalho Malta; Luisa Sorio Flor; Ísis Eloah Machado; Mariana Santos Felisbino-Mendes; Luisa Campos Caldeira Brant; Antonio Luiz Pinho Ribeiro; Renato Azeredo Teixeira; Eduardo Marques Macário; Marissa B. Reitsma; Scott Glenn; Mohsen Naghavi; Emmanuela Gakidou (2023). Additional file 1 of Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 [Dataset]. http://doi.org/10.6084/m9.figshare.13023885.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Deborah Carvalho Malta; Luisa Sorio Flor; Ísis Eloah Machado; Mariana Santos Felisbino-Mendes; Luisa Campos Caldeira Brant; Antonio Luiz Pinho Ribeiro; Renato Azeredo Teixeira; Eduardo Marques Macário; Marissa B. Reitsma; Scott Glenn; Mohsen Naghavi; Emmanuela Gakidou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Additional file 1: Supplementary Table 1. Number of deaths and age-standardized mortality rate by causes of death attributable to smoking for 1990 and 2017, and percent change of the mortality rate of the mortality rates in the period between 1990 and 2017 for Brazil. Supplementary Table 2. Values of the decomposition analysis of the change in the number of deaths attributable to smoking from 1990 to 2017, presented in Fig. 7a, as being due to risk exposure, total population growth, and population aging, for both sexes.

  6. B

    Brazil BR: Maternal Mortality Ratio: National Estimate: per 100,000 Live...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil BR: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births [Dataset]. https://www.ceicdata.com/en/brazil/social-health-statistics/br-maternal-mortality-ratio-national-estimate-per-100000-live-births
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Brazil
    Description

    Brazil BR: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 59.000 Ratio in 2018. This records a decrease from the previous number of 62.000 Ratio for 2017. Brazil BR: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 63.500 Ratio from Dec 1985 (Median) to 2018, with 34 observations. The data reached an all-time high of 193.000 Ratio in 1996 and a record low of 41.000 Ratio in 1992. Brazil BR: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.;The country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;

  7. f

    Additional file 2 of Trends in prevalence, mortality, and morbidity...

    • datasetcatalog.nlm.nih.gov
    • springernature.figshare.com
    Updated Sep 30, 2020
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    Nascimento, Bruno Ramos; Naghavi, Mohsen; Yadgir, Simon; Mooney, Meghan; Malta, Deborah Carvalho; Glenn, Scott Devon; Oliveira, Gláucia Maria Moraes; Ribeiro, Antonio Luiz Pinho; Passos, Valéria Maria Azeredo; Silva, Diego Augusto Santos; Brant, Luísa Campos Caldeira; Roth, Gregory; Duncan, Bruce Bartholow (2020). Additional file 2 of Trends in prevalence, mortality, and morbidity associated with high systolic blood pressure in Brazil from 1990 to 2017: estimates from the “Global Burden of Disease 2017” (GBD 2017) study [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000564464
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    Dataset updated
    Sep 30, 2020
    Authors
    Nascimento, Bruno Ramos; Naghavi, Mohsen; Yadgir, Simon; Mooney, Meghan; Malta, Deborah Carvalho; Glenn, Scott Devon; Oliveira, Gláucia Maria Moraes; Ribeiro, Antonio Luiz Pinho; Passos, Valéria Maria Azeredo; Silva, Diego Augusto Santos; Brant, Luísa Campos Caldeira; Roth, Gregory; Duncan, Bruce Bartholow
    Description

    Additional file 2: Table S3. All age deaths and DALYs in 1990 and 2017 and percent change of deaths and age-standardized death rates, DALYs, and age-standardized DALY attributable to high blood pressure, for cardiovascular diseases (total) and for each level 2 cardiovascular disease for both sexes (A), men (B), and women (C), in Brazil.

  8. f

    Predicted completeness and Queiroz et al (2017) estimates of completeness by...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 30, 2018
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    Tim Adair; Alan D. Lopez (2018). Predicted completeness and Queiroz et al (2017) estimates of completeness by state of residence (%), Brazil, 2000–2010, both sexes, ages 5+. [Dataset]. http://doi.org/10.1371/journal.pone.0197047.t007
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    xlsAvailable download formats
    Dataset updated
    May 30, 2018
    Dataset provided by
    PLOS ONE
    Authors
    Tim Adair; Alan D. Lopez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Predicted completeness and Queiroz et al (2017) estimates of completeness by state of residence (%), Brazil, 2000–2010, both sexes, ages 5+.

  9. f

    Data from: Epidemiology and burden of chronic respiratory diseases in Brazil...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 23, 2021
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    Ikuta, Kevin; Borges, Rogério Boff; Sganzerla, Daniel; Leal, Lisiane Freitas; Dal Pizzol, Tatiane da Silva; Bidinotto, Augusto Bacelo; Malta, Deborah Carvalho; Cousin, Ewerton (2021). Epidemiology and burden of chronic respiratory diseases in Brazil from 1990 to 2017: analysis for the Global Burden of Disease 2017 Study [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000816605
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    Dataset updated
    Mar 23, 2021
    Authors
    Ikuta, Kevin; Borges, Rogério Boff; Sganzerla, Daniel; Leal, Lisiane Freitas; Dal Pizzol, Tatiane da Silva; Bidinotto, Augusto Bacelo; Malta, Deborah Carvalho; Cousin, Ewerton
    Area covered
    Brazil
    Description

    ABSTRACT: Introduction: In Brazil, little is known about the trends of chronic respiratory diseases, which was estimated as the third leading cause of deaths in 2017 worldwide. Methods: We analyzed Global Burden of Disease (GBD) 2017 estimates for prevalence, incidence, mortality, disability-adjusted life years (DALY), a summary measure of years of life lost (YLLs) and years lived with disability (YLDs), and risk factors attributable to chronic respiratory diseases in Brazil from 1990 to 2017. Results: The overall estimates have decreased for all ages and both sexes, and for age-standardized rates. For age-adjusted prevalence, there was a 21% reduction, and nearly 16% reduction for incidence. There was a 42% reduction in mortality for both sexes, though the rate of deaths for men was 30% greater than the rate in women. The increase in the number of DALY was essentially due to the population growth and population ageing. We observed a 34% increase in the absolute number of DALY in Brazil over the study period. The majority of the DALY rates were due to Chronic Obstructive Pulmonary Disease (COPD). For all ages and both sexes, smoking was the main attributable risk factor. Conclusion: In Brazil, although mortality, prevalence and incidence for chronic respiratory diseases have decreased over the years, attention should be taken to the DALYs increase. Smoking remained as the main risk factor, despite the significant decrease of tobacco use, reinforcing the need for maintenance of policies and programs directed at its cessation.

  10. f

    Macro-regions of Brazil.

    • figshare.com
    xls
    Updated Jan 24, 2024
    + more versions
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    Arnauld Kaufman; André L. Barreira; Marcelo G. P. Land (2024). Macro-regions of Brazil. [Dataset]. http://doi.org/10.1371/journal.pgph.0002304.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Arnauld Kaufman; André L. Barreira; Marcelo G. P. Land
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Chronic kidney disease (CKD) is defined based on structural or functional abnormalities of the kidneys, or a glomerular filtration rate (GFR) below the threshold of 60 ml/min per 1.73 m2 for more than 3 months. It is an important noncommunicable disease with a rising worldwide, becoming a global public health problem. There are few studies about this problem, especially in low- and middle-income countries (LMIC), including Brazil, an upper-middle-income country. The objective of the study was to determine the cause-specific mortality rates for pediatric CKD patients (CKDMR) from 0 to 19 years old, based on the 10th revision of the International Classification of Diseases (ICD-10) and the Global Burden of Diseases Injuries and Risk Factors Study’s (GBD) list. We calculated the impact of the annual human development indexes (HDI) in CKDMR in Brazil and its regions at two different times and compared it with the literature results. We obtained data from the Department of Informatics of the Brazilian Unified Health System (DATASUS) from 1996 to 2017. The Joinpoint regression analyses estimated the average annual percentage changes (AAPCs). The correlation between the HDI values and the number of deaths from each age group in Brazil and its different regions were assessed using the time series autoregressive integrated moving average (ARIMA) models. There were 8838 deaths in a pediatric and adolescent population of about 1.485 x 109 person-years observed in Brazil from 1996 to 2017. Our results demonstrated a significant increase in the AAPC in Brazil’s less than 1-year-old age group and a decrease in children from 5 to 19 years old. We observed a positive correlation between CKDMR and HDI among children under 1 year of age. Conversely, there is a negative association in the age groups ranging from 5 to 19 years, indicating an inverse relationship between CKDMR and HDI.

  11. B

    Brazil Highways Statistics: Traffic Accidents: Accidents With Deaths

    • ceicdata.com
    Updated May 3, 2021
    + more versions
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    CEICdata.com (2021). Brazil Highways Statistics: Traffic Accidents: Accidents With Deaths [Dataset]. https://www.ceicdata.com/en/brazil/highways-statistics-traffic-accidents/highways-statistics-traffic-accidents-accidents-with-deaths
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    Dataset updated
    May 3, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Vehicle Traffic
    Description

    Brazil Highways Statistics: Traffic Accidents: Accidents With Deaths data was reported at 2,530.000 Unit in 2017. This records a decrease from the previous number of 2,593.000 Unit for 2016. Brazil Highways Statistics: Traffic Accidents: Accidents With Deaths data is updated yearly, averaging 2,615.500 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 2,892.000 Unit in 2011 and a record low of 1,713.000 Unit in 2008. Brazil Highways Statistics: Traffic Accidents: Accidents With Deaths data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

  12. Brazil: number of police officers killed 2017-2024

    • statista.com
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    Statista, Brazil: number of police officers killed 2017-2024 [Dataset]. https://www.statista.com/statistics/1181794/number-deaths-police-officers-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2020, Brazil recorded over *** deaths of police officers. The following year the number fell to a total of ***. In 2024, the number increased to *** deaths. Moreover, during 2023, the number of people killed by police officers in Brazil registered a year-on-year decrease of nearly one percent points.

  13. B

    Brazil Highways Statistics: Traffic Accidents: Accidents Index: Mortality...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Highways Statistics: Traffic Accidents: Accidents Index: Mortality Index (IM) [Dataset]. https://www.ceicdata.com/en/brazil/highways-statistics-traffic-accidents/highways-statistics-traffic-accidents-accidents-index-mortality-index-im
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Vehicle Traffic
    Description

    Brazil Highways Statistics: Traffic Accidents: Accidents Index: Mortality Index (IM) data was reported at 0.014 % in 2017. This stayed constant from the previous number of 0.014 % for 2016. Brazil Highways Statistics: Traffic Accidents: Accidents Index: Mortality Index (IM) data is updated yearly, averaging 0.015 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 0.023 % in 2009 and a record low of 0.009 % in 2014. Brazil Highways Statistics: Traffic Accidents: Accidents Index: Mortality Index (IM) data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

  14. Data from: Bladder cancer trends and mortality in the brazilian public...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Frederico Timoteo; Fernando Korkes; Willy Baccaglini; Sidney Glina (2023). Bladder cancer trends and mortality in the brazilian public health system [Dataset]. http://doi.org/10.6084/m9.figshare.11900601.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Frederico Timoteo; Fernando Korkes; Willy Baccaglini; Sidney Glina
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Introduction Considering the lack of data on BC trends in Brazilian population, mainly as a result of the difficulty on gathering data, the present manuscript provides an overview of bladder cancer incidence, hospitalization, mortality patterns and trends using the Brazilian Data Center for The Public Health System (DATASUS). Materials and Methods All hospital admissions associated with BC diagnosis (ICD-10 C67) between 2008 and 2017 were analyzed. Distributions according to year, gender, age group, ethnicity, death, length of hospital stay, and costs were evaluated. Demographic data was obtained from the last Brazilian national census. Results From 2008 to 2017 there were 119,058 public hospital admissions related to BC. Patients were mostly white males aged 60 to 79 years-old. Mortality rates for patients who have undergone surgery was 6.75% on average, being 7.38% for women and 6.49% for men. Mortality rates were higher when open surgeries were performed compared to endoscopic procedures (4.98% vs 1.18%). Considering only endoscopic procedures, mortality rates were three times higher after urgent surgeries compared to elective ones (2.6% vs 0.6%). Over the years the cystectomy/transurethral bladder resection (C/T) ratio significantly decreased in all Brazilian Regions. In 2008, the C/T ratio was 0.19, while in 2017 it reduced to 0.08. Conclusions Despite BC relatively low incidence, it still represents a significant social economic burden in Brazil, as it presents with recurrent episodes that might require multiple hospitalizations and surgical treatment. The set of data collected might suggest that population access to health care has improved between 2008-2017.

  15. f

    Data from: Social iniquity and breast cancer in women: mortality analysis

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    da Consolação Magalhães, Maria; Bustamante-Teixeira, Maria Teresa; de Almeida Pereira Duarte, Daniela; Nogueira, Mário Círio (2021). Social iniquity and breast cancer in women: mortality analysis [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000887596
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    Dataset updated
    Mar 24, 2021
    Authors
    da Consolação Magalhães, Maria; Bustamante-Teixeira, Maria Teresa; de Almeida Pereira Duarte, Daniela; Nogueira, Mário Círio
    Description

    Abstract Introduction Despite the preventive actions, breast cancer (BC) in Brazil has a high mortality, probably due to the identification of the tumor in advanced stages. Objective To analyze mortality from BC in the health micro-regions of Minas Gerais (MG), 2013-2017, and its possible association with social inequality. Method Ecological study, whose unit of analysis was the health micro-regions of MG. Mortality, sociodemographic and health data were extracted from SIM, IBGE, PROADESS, and DATASUS. Specific and age-standardized mortality rates were calculated, thematic maps were constructed, and statistical analyzes were performed using the Moran Index and multiple simple regression. Results From 2013-2017 there were 7,571 deaths from BC in MG. The deadliest microregions are in the Center and East; the smallest in the North and Northeast. Most variables had a high coefficient of variation and were significant in the simple linear regression model. In the multiple distal and proximal models, only the degree of urbanization was significant. All variables showed significant spatial autocorrelation and spatial dependence. Conclusion High mortality rates in the most urbanized micro-regions can be explained by reproductive, behavioral factors and the distribution of health resources, present in large urban centers.

  16. B

    Brazil Highways Statistics: Traffic Accidents: Killed in Motorcycle Accident...

    • ceicdata.com
    Updated Aug 15, 2019
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    CEICdata.com (2019). Brazil Highways Statistics: Traffic Accidents: Killed in Motorcycle Accident [Dataset]. https://www.ceicdata.com/en/brazil/highways-statistics-traffic-accidents/highways-statistics-traffic-accidents-killed-in-motorcycle-accident
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    Dataset updated
    Aug 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Vehicle Traffic
    Description

    Brazil Highways Statistics: Traffic Accidents: Killed in Motorcycle Accident data was reported at 604.000 Unit in 2017. This records a decrease from the previous number of 663.000 Unit for 2016. Brazil Highways Statistics: Traffic Accidents: Killed in Motorcycle Accident data is updated yearly, averaging 548.500 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 663.000 Unit in 2016 and a record low of 341.000 Unit in 2008. Brazil Highways Statistics: Traffic Accidents: Killed in Motorcycle Accident data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

  17. Data from: The relationship between the assessment of performance of primary...

    • scielo.figshare.com
    tiff
    Updated May 30, 2023
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    Marla Fabiula de Barros Hatisuka; Ricardo Castanho Moreira; Marcos Aparecido Sarria Cabrera (2023). The relationship between the assessment of performance of primary health care and infant mortality in Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.19922279.v1
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Marla Fabiula de Barros Hatisuka; Ricardo Castanho Moreira; Marcos Aparecido Sarria Cabrera
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Abstract The article assesses the relationship between the Infant Mortality Rate (IMR) and the percentage of health units that obtained good performance ratings in the appraisal by the National Program to Improve Access and Quality (PMAQ) of Primary Care in Brazilian states and the relation to the variables involved. Using a descriptive study, the results of the performance assessment of the participating units of the third cycle of PMAQ (2015-2017) and the relationship with the IMR (2015-2017) were analyzed. Descriptive, Pearson correlation, and cluster analysis were performed. The results revealed that there is a negative and moderate correlation (-0.534) between the IMR and the units with a good and statistically significant (p=0.005) performance rating. With cluster analysis, it was possible to confirm that Brazilian states from different regions reveal similarities in the variables of the study. Thus, there is a relationship between IMR and units with a good performance rating. The results also showed that the similarities between the states are not restricted to the region in which they are located. Therefore, the importance of investing in primary care training is paramount in terms of an effective impact on the health of the population.

  18. Death toll of shootings in Rio de Janeiro 2017-2024

    • statista.com
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    Statista, Death toll of shootings in Rio de Janeiro 2017-2024 [Dataset]. https://www.statista.com/statistics/1284345/shootings-fatalities-rio-de-janeiro/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil, Rio de Janeiro
    Description

    There were 758 fatalities due to shootings recorded in 2024 in the state of Rio de Janeiro, Brazil. This represents a decrease of 21 percent in comparison to the deaths caused by firearms in the previous year. An overall 2.532, shootings were registered in the region that year.

  19. Brazil: number of homicides 2007-2024

    • statista.com
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    Statista, Brazil: number of homicides 2007-2024 [Dataset]. https://www.statista.com/statistics/312455/number-homicides-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2024, the number of homicides in Brazil reached its lowest level of the entire period under review, with approximately 39,000 occurrences. By comparison, there were more than 60,000 homicides in the country in 2017.

  20. Mortality risk by age group and maternal treatment status among singleton...

    • plos.figshare.com
    bin
    Updated Jun 21, 2023
    + more versions
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    Enny S. Paixao; Andrêa JF Ferreira; Idália Oliveira dos Santos; Laura C. Rodrigues; Rosemeire Fiaccone; Leonardo Salvi; Guilherme Lopes de Oliveira; José Guilherme Santana; Andrey Moreira Cardoso; Carlos Antônio de S. S. Teles; Maria Auxiliadora Soares; Eliana Amaral; Liam Smeeth; Mauricio L. Barreto; Maria Yury Ichihara (2023). Mortality risk by age group and maternal treatment status among singleton live births in the cohort-linked data, Brazil, 2011–2017. [Dataset]. http://doi.org/10.1371/journal.pmed.1004209.t003
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    binAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Enny S. Paixao; Andrêa JF Ferreira; Idália Oliveira dos Santos; Laura C. Rodrigues; Rosemeire Fiaccone; Leonardo Salvi; Guilherme Lopes de Oliveira; José Guilherme Santana; Andrey Moreira Cardoso; Carlos Antônio de S. S. Teles; Maria Auxiliadora Soares; Eliana Amaral; Liam Smeeth; Mauricio L. Barreto; Maria Yury Ichihara
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Mortality risk by age group and maternal treatment status among singleton live births in the cohort-linked data, Brazil, 2011–2017.

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Statista (2025). Deaths due to dengue in Brazil 2017-2025 [Dataset]. https://www.statista.com/statistics/797680/number-deaths-dengue-fever-brazil/
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Deaths due to dengue in Brazil 2017-2025

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Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

From January to July 2025, the number of confirmed deaths due to dengue fever in Brazil amounted to ***** cases, the highest value reported during the analyzed period. This represents a marked increase in comparison to the previous year. In contrast, the lowest number of deaths due to the disease reached around *** cases in 2017. Brazil saw a substantial increase in dengue cases in 2023 and 2024, with an incidence rate surpassing the ***** cases per 100,000 people in 2024.

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