100+ datasets found
  1. COVID-19 cases and deaths in Brazil 2020-2025

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). COVID-19 cases and deaths in Brazil 2020-2025 [Dataset]. https://www.statista.com/statistics/1107028/brazil-covid-19-cases-deaths/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Brazil
    Description

    COVID-19 was first detected in Brazil on March 1, 2020, making it the first Latin American country to report a case of the novel coronavirus. Since then, the number of infections has risen drastically, reaching approximately 38 million cases by May 11, 2025. Meanwhile, the first local death due to the disease was reported in March 19, 2020. Four years later, the number of fatal cases had surpassed 700,000. The highest COVID-19 death toll in Latin America With a population of more than 211 million inhabitants as of 2023, Brazil is the most populated country in Latin America. This nation is also among the most affected by COVID-19 in number of deaths, not only within the Latin American region, but also worldwide, just behind the United States. These figures have raised a debate on how the Brazilian government has dealt with the pandemic. In fact, according to a study carried out in May 2021, more than half of Brazilians surveyed disapproved of the way in which former president Jair Bolsonaro had been dealing with the health crisis. In comparison, a third of respondents had a similar opinion about the Ministry of Health. Brazil’s COVID-19 vaccination campaign rollout Brazil’s vaccination campaign started at the beginning of 2021, when a nurse from São Paulo became the first person in the country to get vaccinated against the disease. A few years later, roughly 88 percent of the Brazilian population had received at least one vaccine dose, while around 81 percent had already completed the basic immunization scheme. With more than 485.2 million vaccines administered as of March 2023, Brazil was the fourth country with the most administered doses of the COVID-19 vaccine globally, after China, India, and the United States.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  2. COVID-19 deaths in Brazil 2023, by state

    • statista.com
    Updated Jul 10, 2025
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    Statista (2023). COVID-19 deaths in Brazil 2023, by state [Dataset]. https://www.statista.com/statistics/1107109/brazil-coronavirus-deaths-state/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    As of September 21, 2023, São Paulo was the Brazilian state where the majority of fatal COVID-19 cases occurred, with approximately 180,887 deaths recorded as of that day. Rio de Janeiro trailed in second, registering around 77,344 fatal cases due to the disease. As of August 2, 2023, the number of deaths from COVID-19 in Brazil reached around 704,659 people. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. T

    Brazil Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
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    TRADING ECONOMICS (2020). Brazil Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/brazil/coronavirus-deaths
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 2020 - May 17, 2023
    Area covered
    Brazil
    Description

    Brazil recorded 702116 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Brazil reported 37511921 Coronavirus Cases. This dataset includes a chart with historical data for Brazil Coronavirus Deaths.

  4. h

    COVID-19 ESUS Confirmed cases and death episodes, Brazil

    • healthdatagateway.org
    unknown
    Updated Jan 1, 2023
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    (2023). COVID-19 ESUS Confirmed cases and death episodes, Brazil [Dataset]. https://healthdatagateway.org/en/dataset/779
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    unknownAvailable download formats
    Dataset updated
    Jan 1, 2023
    License

    https://cidacs.bahia.fiocruz.br/idscovid19/ids-covid-19/;,;https://www.gov.br/saude/enhttps://cidacs.bahia.fiocruz.br/idscovid19/ids-covid-19/;,;https://www.gov.br/saude/en

    Area covered
    Brazil
    Description

    This dataset comprises data on new and accumulated confirmed cases and death episodes for each Brazilian municipality, by epidemiological week.

    Criteria used for confirmed cases (mild and moderate cases): * Laboratory * Clinical epidemiological * Clinical criterion * Clinical image Death episodes refer to COVID-19 confirmed cases that progressed to death. Reference date for cases: * symptom onset date (preferably) * notification or testing date (for missing data) Reference date for deaths: * death or case closing date * notification or testing date (for missing data) Age groups follow a five-year window. Phase and peak variables according to the epidemiological week in which the cases and deaths occurred.

    This dataset was used as part project - Evaluating Effects of Social Inequalities on the COVID-19 Pandemic in Brazil. Maria Yury Ichihara and colleagues at the Centre for Data and Knowledge Integration for Health (Cidacs) at Fiocruz in Brazil created a social disparities index to measure inequalities relevant to the COVID-19 pandemic, such as unequal access to healthcare, to identify regions that are more vulnerable to infection and to better focus prevention efforts.

    In Brazil, markers of inequality are associated with COVID-19 morbidity and mortality. They developed the index with available COVID-19 surveillance data, hosted on the Cidacs platform, and built a public data visualisation dashboard to share the index and patterns of COVID-19 incidence and mortality with the broader community. This enabled health managers and policymakers to monitor the pandemic situation in the most vulnerable populations and target social and health interventions.

    Permissions to use this dataset must be obtained from the Ministry of Health Brazil.

  5. y

    Brazil Coronavirus Full Vaccination Rate

    • ycharts.com
    html
    Updated Mar 23, 2023
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    Our World in Data (2023). Brazil Coronavirus Full Vaccination Rate [Dataset]. https://ycharts.com/indicators/brazil_coronavirus_full_vaccination_rate
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    htmlAvailable download formats
    Dataset updated
    Mar 23, 2023
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Feb 6, 2021 - Mar 22, 2023
    Area covered
    Brazil
    Variables measured
    Brazil Coronavirus Full Vaccination Rate
    Description

    View daily updates and historical trends for Brazil Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts analyti…

  6. Latest Coronavirus COVID-19 figures for Brazil

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Brazil [Dataset]. https://covid19-today.pages.dev/countries/brazil/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Brazil
    Description

    In past 24 hours, Brazil, South America had N/A new cases, N/A deaths and N/A recoveries.

  7. f

    Data from: Brazil: the emerging epicenter of COVID-19 pandemic

    • figshare.com
    jpeg
    Updated May 30, 2023
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    Mariane Barros Neiva; Isabelle Carvalho; Etevaldo dos Santos Costa Filho; Francisco Barbosa-Junior; Filipe Andrade Bernardi; Tiago Lara Michelin Sanches; Lariza Laura de Oliveira; Vinicius Costa Lima; Newton Shydeo Brandão Miyoshi; Domingos Alves (2023). Brazil: the emerging epicenter of COVID-19 pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.14277183.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Mariane Barros Neiva; Isabelle Carvalho; Etevaldo dos Santos Costa Filho; Francisco Barbosa-Junior; Filipe Andrade Bernardi; Tiago Lara Michelin Sanches; Lariza Laura de Oliveira; Vinicius Costa Lima; Newton Shydeo Brandão Miyoshi; Domingos Alves
    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 Five months after the first confirmed case of COVID-19 in Brazil, the country has the second highest number of cases in the world. Without any scientifically proven drug or vaccine available combined with COVID-19’s high transmissivity, slowing down the spread of the infection is a challenge. In an attempt to save the economy, the Brazilian government is slowly beginning to allow non-essential services to reopen for in-person customers. METHODS: In this study, we analyze, based on data analysis and statistics, how other countries evolve and under which conditions they decided to resume normal activity. In addition, due to the heterogeneity of Brazil, we explore Brazilian data of COVID-19 from the State Health Secretaries to evaluate the situation of the pandemic within the states. RESULTS: Results show that while other countries have flattened their curves and present low numbers of active cases, Brazil continues to see an increase in COVID-19 patients. Furthermore, a number of important states are easing restrictions despite a high percentage of confirmed cases. CONCLUSIONS: All analyses show that Brazil is not ready for reopening, and the premature easing of restrictions may increase the number of COVID-19-related deaths and cause the collapse of the public health system.

  8. T

    Brazil Coronavirus COVID-19 Vaccination Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 20, 2021
    + more versions
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    TRADING ECONOMICS (2021). Brazil Coronavirus COVID-19 Vaccination Rate [Dataset]. https://tradingeconomics.com/brazil/coronavirus-vaccination-rate
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Apr 20, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 18, 2021 - Mar 22, 2023
    Area covered
    Brazil
    Description

    The number of COVID-19 vaccination doses administered per 100 people in Brazil rose to 226 as of Oct 27 2023. This dataset includes a chart with historical data for Brazil Coronavirus Vaccination Rate.

  9. COVID-19 vaccine immunization development in Brazil 2021-2023

    • statista.com
    Updated Jun 28, 2024
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    Statista (2024). COVID-19 vaccine immunization development in Brazil 2021-2023 [Dataset]. https://www.statista.com/statistics/1288019/population-vaccinated-against-covid-brazil/
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    Dataset updated
    Jun 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 19, 2021 - Mar 22, 2023
    Area covered
    Brazil
    Description

    The vaccination campaign against COVID-19 in Brazil started on January 2021. Over two years later, around 88 percent of the country's population had received at least one dose of a vaccine against the disease. As of that date, approximately 81.8 percent of Brazilians were fully vaccinated with the recommended amount of doses for immunization. Brazil ranked fifth among Latin American countries with the largest number of COVID-19 vaccination doses per 100 population.

    Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  10. Brazil: Covid-19 data, variants and vaccination

    • figshare.com
    xlsx
    Updated Feb 27, 2025
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    Adriana Galdino Batista Pereira (2025). Brazil: Covid-19 data, variants and vaccination [Dataset]. http://doi.org/10.6084/m9.figshare.28505393.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Adriana Galdino Batista Pereira
    License

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

    Area covered
    Brazil
    Description

    Databases of Brazil referring to cases of severe acute respiratory syndrome by Covid-19 per epidemiological week, variants of SARS-Cov 2 care and beginning of vaccination in the federated units of the country

  11. COVID speed reach and spread dataset (.csv file)

    • figshare.com
    xlsx
    Updated Jan 15, 2024
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    Alexandre Augusto de Paula da Silva; Rodrigo Reis; Franciele Iachecen; Fabio Duarte; Cristina Pellegrino Baena; Adriano Akira Hino (2024). COVID speed reach and spread dataset (.csv file) [Dataset]. http://doi.org/10.6084/m9.figshare.24999911.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 15, 2024
    Dataset provided by
    figshare
    Authors
    Alexandre Augusto de Paula da Silva; Rodrigo Reis; Franciele Iachecen; Fabio Duarte; Cristina Pellegrino Baena; Adriano Akira Hino
    License

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

    Description

    City level open access data from 26 States and the Federal District and from the Brazilian Institute of Geography and Statistics (IBGE) [20], the Department of Informatics of Brazilian Public Health System – DATASUS, Ministry of Health, the Brazilian Agricultural Research Corporation (Embrapa) and from Brazil.io. Data from all 5,570 cities in Brazil were included in the analysis. COVID-19 data included cases and deaths reported between February 26th, 2020 and February 4th, 2021. The following outcomes were computed: a) days between the first case in Brazil until the first case in the city; b) days between the first case in the city until the day when 1,000 cases were reported; and c) days between the first death in city until the day when 50 deaths inhabitants were reported. Descriptive analyses were performed on the following: proportion of cities reaching 1,000 cases; number of cases at three, six, nine and 12 months after first case; cities reporting at least one COVID-19 related death; number of COVID-19 related deaths at three, six, nine and 12 months after first death in the country. All incidence data is adjusted for 100,000 inhabitants.The following covariates were included: a) geographic region where the city is located (Midwest, North, Northeast, Southeast and South), metropolitan city (no/yes) and urban or rural; b) social and environmental city characteristics [total area (Km2), urban area (Km2), population size (inhabitants), population living within urban area (inhabitants), population older than 60 years (%), indigenous population (%), black population (%), illiterate older than 25 years (%) and city in extreme poverty (no/yes)]; c) housing conditions [household with density >2 per dormitory (%), household with garbage collection (%), household connected to the water supply system (%) and household connected to the sewer system (%)]; d) job characteristics [commerce (%) and informal workers (%)]; e) socioeconomic and inequalities characteristics [GINI index; income per capita; poor or extremely poor (%) and households in informal urban settlements (%)]; f) health services access and coverage [number of National Public Health System (SUS) physicians per inhabitants (100,000 inhabitants), number of SUS nurses per inhabitants (100,000 inhabitants), number of intensive care units or ICU per inhabitants (100,000 inhabitants). All health services access and coverage variables were standardized using z-scores, combined into one single variable categorized into tertiles.

  12. B

    Brazil COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: by State:...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: by State: Southeast: São Paulo: Ignored [Dataset]. https://www.ceicdata.com/en/brazil/disease-outbreaks-covid19-number-of-tests-serious-cases/covid19-no-of-tests-serious-cases-new-rtpcr-tests-by-state-southeast-so-paulo-ignored
    Explore at:
    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
    Jan 20, 2025 - Jan 31, 2025
    Area covered
    Brazil
    Description

    COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: by State: Southeast: São Paulo: Ignored data was reported at 0.000 Unit in 28 Mar 2025. This stayed constant from the previous number of 0.000 Unit for 27 Mar 2025. COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: by State: Southeast: São Paulo: Ignored data is updated daily, averaging 0.000 Unit from Aug 2002 (Median) to 28 Mar 2025, with 8247 observations. The data reached an all-time high of 0.000 Unit in 28 Mar 2025 and a record low of 0.000 Unit in 28 Mar 2025. COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: by State: Southeast: São Paulo: Ignored data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Health Sector – Table BR.HLA003: Disease Outbreaks: COVID-19: Number of Tests: Serious Cases.

  13. f

    Data from: COVID-19 pandemic outbreak: the Brazilian reality from the first...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    CRISTIANE M.L. DE MELO; GUILHERME A.S. SILVA; ALANNE R.S. MELO; ANTÔNIO C. DE FREITAS (2023). COVID-19 pandemic outbreak: the Brazilian reality from the first case to the collapse of health services [Dataset]. http://doi.org/10.6084/m9.figshare.14275425.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    CRISTIANE M.L. DE MELO; GUILHERME A.S. SILVA; ALANNE R.S. MELO; ANTÔNIO C. DE FREITAS
    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 Coronavirus is associated with several infectious diseases that cause outbreaks in humans, such as SARS in 2002-2003 and MERS in 2012. In December 2019, COVID-19, promoted by the SARS-CoV-2 virus, was first reported in Wuhan (China) as a new coronavirus disease. This outbreak quickly reached a pandemic status, affecting at least 185 countries and territories to date on all continents. The first case of COVID-19 reported in São Paulo city (Brazil) occurred in February 26th. Days later, 182 suspected cases in 16 states were being monitored. In May 30th, 514,849 cases and 29,314 deaths were confirmed in Brazil comprising all 26 states and Federal District. The primary measure in order to contain the spread of SARS-CoV-2 involved social isolation. At that time there were not enough diagnostic tests to identify infected individuals and data were strongly associated with sub notifications. Nevertheless, the effectiveness of this measure largely depends on the individual’s social responsibility. This measure has a severe economic and social impact, as in other countries. In this review, we present an overview and scientific perspectives of the evolution of COVID-19 from Brazilian databases in which climate and economic situations differ from China, European countries, and the USA.

  14. B

    Brazil Person w/ COVID-19 Symptom: Sore Throat: North

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Person w/ COVID-19 Symptom: Sore Throat: North [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-pnad-covid19/person-w-covid19-symptom-sore-throat-north
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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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Person w/ COVID-19 Symptom: Sore Throat: North data was reported at 428,827.739 Person in 22 Aug 2020. This records an increase from the previous number of 384,010.312 Person for 15 Aug 2020. Brazil Person w/ COVID-19 Symptom: Sore Throat: North data is updated daily, averaging 472,337.316 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 1,313,514.945 Person in 23 May 2020 and a record low of 326,910.954 Person in 18 Jul 2020. Brazil Person w/ COVID-19 Symptom: Sore Throat: North data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAG004: Continuous National Household Sample Survey: PNAD COVID-19.

  15. H

    COVID-19 Community Mobility Reports, Brazil

    • find.data.gov.scot
    Updated Jun 17, 2023
    + more versions
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    INTERNATIONAL COVID-19 DATA ALLIANCE (ICODA) (2023). COVID-19 Community Mobility Reports, Brazil [Dataset]. https://find.data.gov.scot/datasets/25822
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    Dataset updated
    Jun 17, 2023
    Dataset provided by
    INTERNATIONAL COVID-19 DATA ALLIANCE (ICODA)
    Area covered
    Brazil
    Description

    This dataset measures the mobility trend in different dimensions (location categories) for Brazil, Federation Units and Municipalities.

  16. f

    Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study...

    • scielo.figshare.com
    png
    Updated Jun 11, 2023
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    Géssyca Cavalcante de Melo; Irena Penha Duprat; Karina Conceição Gomes Machado de Araújo; Frida Marina Fischer; Renato Américo de Araújo Neto (2023). Prediction of cumulative rate of COVID-19 deaths in Brazil: a modeling study [Dataset]. http://doi.org/10.6084/m9.figshare.14321399.v1
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    pngAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    SciELO journals
    Authors
    Géssyca Cavalcante de Melo; Irena Penha Duprat; Karina Conceição Gomes Machado de Araújo; Frida Marina Fischer; Renato Américo de Araújo Neto
    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: Objective: Estimating the potential number of COVID-19 deaths in Brazil for the coming months. Methods: The study included all confirmed cases of COVID-19 deaths, from the first confirmed death on March 17th to May 15th, 2020. These data were collected from an official Brazilian website of the Ministry of Health. The Boltzmann function was applied to a data simulation for each set of data regarding all states of the country. Results: The model data were well-fitted, with R2 values close to 0.999. Up to May 15th, 14,817 COVID-19 deaths have been confirmed in the country. Amazonas has the highest rate of accumulated cases per 1,000,000 inhabitants (321.14), followed by Ceará (161.63). Rio de Janeiro, Roraima, Amazonas, Pará, and Pernambuco are estimated to experience a substantial increase in the rate of cumulative cases until July 15th. Mato Grosso do Sul, Paraná, Minas Gerais, Rio Grande do Sul, and Santa Catarina will show lower rates per 1,000,000 inhabitants. Conclusion: We estimate a substantial increase in the rate of cumulative cases in Brazil over the next months. The Boltzmann function proved to be a simple tool for epidemiological forecasting that can assist in the planning of measures to contain COVID-19.

  17. f

    Data from: The first hundred days of COVID-19 in Pernambuco State, Brazil:...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Wayner Vieira de Souza; Celina Maria Turchi Martelli; Amanda Priscila de Santana Cabral Silva; Lívia Teixeira de Souza Maia; Maria Cynthia Braga; Luciana Caroline Albuquerque Bezerra; George Santiago Dimech; Ulisses Ramos Montarroyos; Thalia Velho Barreto de Araújo; Demócrito de Barros Miranda-Filho; Ricardo Arraes de Alencar Ximenes; Maria de Fátima Pessoa Militão de Albuquerque (2023). The first hundred days of COVID-19 in Pernambuco State, Brazil: epidemiology in historical context [Dataset]. http://doi.org/10.6084/m9.figshare.14280878.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Wayner Vieira de Souza; Celina Maria Turchi Martelli; Amanda Priscila de Santana Cabral Silva; Lívia Teixeira de Souza Maia; Maria Cynthia Braga; Luciana Caroline Albuquerque Bezerra; George Santiago Dimech; Ulisses Ramos Montarroyos; Thalia Velho Barreto de Araújo; Demócrito de Barros Miranda-Filho; Ricardo Arraes de Alencar Ximenes; Maria de Fátima Pessoa Militão de Albuquerque
    License

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

    Area covered
    State of Pernambuco, Brazil
    Description

    Abstract: The timeline of the COVID-19 pandemic began on December 31, 2019, in China, with SARS-CoV-2 identified as the etiological agent. This article aims to describe the COVID-19 epidemic’s spatial and temporal dynamics in the first hundred days in the State of Pernambuco, Brazil. We present the evolution in cases and deaths according to epidemiological weeks. We analyzed the series of accumulated daily confirmed COVID-19 cases, with projections for the subsequent 15 days, using the JoinPoint app. This software allows identifying turning points, testing their statistical significance. We also analyze the trend in the spread of COVID-19 to the interior of the state, considering the percent distribution of cases in the state capital, Recife, municipalities in Greater Metropolitan Recife, and the state’s interior, by sets of three weeks, constructing thematic maps. The first hundred days of the COVID-19 epidemic resulted in 52,213 cases and 4,235 deaths from March 12, or epidemiological week 11, until June 20, 2020 (epidemiological week 25). The peak in the epidemic curve occurred in epidemiological week 21 (May 23), followed by deceleration in the number of cases. We initially detected the spread of cases from the city center to the periphery of the state capital and Metropolitan Area, followed by rapid spread to the state’s interior. There was a decrease in the mean daily growth starting in April, but with an average threshold of more than 6,000 weekly cases of COVID-19. At the end of the period, the state’s case series indicates the persistence of SARS-CoV-2 circulation and community transmission. Finally, paraphrasing Gabriel Garcia Marques in One Hundred Years of Solitude, we ask whether we are facing “a pause in the storm or a sign of redoubled rain”.

  18. z

    Data from: Effectiveness of COVID-19 vaccination on reduction of...

    • zenodo.org
    csv, pdf
    Updated Jul 15, 2024
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    Ana Isabela L. Sales-Moioli; Ana Isabela L. Sales-Moioli; Leonardo J. Galvão-Lima; Leonardo J. Galvão-Lima; Talita K. B. Pinto; Talita K. B. Pinto; Pablo H. Cardoso; Pablo H. Cardoso; Rodrigo D. Silva; Rodrigo D. Silva; Felipe Fernandes; Felipe Fernandes; Ingridy M. P. Barbalho; Ingridy M. P. Barbalho; Fernando L. O. Farias; Fernando L. O. Farias; Nicolas V. R. Veras; Nicolas V. R. Veras; Gustavo F. Souza; Gustavo F. Souza; Agnaldo S. Cruz; Agnaldo S. Cruz; Ion G. M. Andrade; Ion G. M. Andrade; Lúcio Gama; Lúcio Gama; Ricardo A. M. Valentim; Ricardo A. M. Valentim (2024). Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil [Dataset]. http://doi.org/10.5281/zenodo.7249604
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jul 15, 2024
    Dataset provided by
    Zenodo
    Authors
    Ana Isabela L. Sales-Moioli; Ana Isabela L. Sales-Moioli; Leonardo J. Galvão-Lima; Leonardo J. Galvão-Lima; Talita K. B. Pinto; Talita K. B. Pinto; Pablo H. Cardoso; Pablo H. Cardoso; Rodrigo D. Silva; Rodrigo D. Silva; Felipe Fernandes; Felipe Fernandes; Ingridy M. P. Barbalho; Ingridy M. P. Barbalho; Fernando L. O. Farias; Fernando L. O. Farias; Nicolas V. R. Veras; Nicolas V. R. Veras; Gustavo F. Souza; Gustavo F. Souza; Agnaldo S. Cruz; Agnaldo S. Cruz; Ion G. M. Andrade; Ion G. M. Andrade; Lúcio Gama; Lúcio Gama; Ricardo A. M. Valentim; Ricardo A. M. Valentim
    License

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

    Area covered
    State of Rio Grande do Norte, Brazil
    Description

    Data Repository

    Dataset name: covid19_rn-br.csv

    Version: 1.0

    Data collection period: 04/2020 - 08/2021

    Dataset Characteristics: Multivalued

    Number of Instances: 12,635

    Number of Attributes: 16

    Missing Values: Yes

    Area(s): Health

    Sources:

    - Primary:

    - Secondary:

    Description: The covid19_rn-br.csv dataset is composed of data from individuals who were hospitalized due to the Sars-CoV-2 virus. The data comes from the ecosystem of services that includes the regulatory system for clinical and critical beds related to Covid-19 (RegulaRN) and the vaccination system against Covid-19 that records the data of the general population (RN Mais Vacina) from Rio Grande do Norte state, Brazil. This dataset provides elementary data to analyze the impact of vaccination on patients hospitalized in the state. Table 1 presents the dictionary used during the data analysis.

    Table 1: Description of Dataset Features.

    Attributes

    Description

    datatype

    Value

    usp

    Unified Score for Prioritization scale, which combines the parameters described in the quick Sequential Organ Failure Assessment (qSOFA), the Charlson Comorbidity Index (CCI), the Clinical Frailty Scale (CFS) and The Karnofsky Performance Status scores

    Numerical

    2.0. 3.0, 4.0, 5.0, 6.0+

    age

    Informs the patient's age

    Numerical.

    integer value for age

    outcome

    Informs the outcome of the hospitalized patient after leaving the hospital

    Categorical

    “Discharge” or “Death"

    comorbidities

    Informs if the patient has comorbidities

    Categorical.

    “Yes” or “No”

    vaccine

    Informs which type of vaccine was applied to the patient

    Categorical

    “Vaccine #1”, “Vaccine #2” or NaN

    bed_date_admission

    Informs the date the patient was hospitalized

    Date

    Date

    bed_date_outcome

    Informs the date that the patient left the hospital bed

    Date

    Date

    length_hospitalization

    Informs the number of days that the patient was hospitalized

    Numerical

    An integer value for days

    interval_d1_hospitalization

    Informs the interval (in days) that the patient had between the first dose and admission

    Numerical

    An integer value for days or NaN

    interval_d2_hospitalization

    Informs the interval (in days) that the patient had between the second dose and admission

    Numerical

    An integer value for days or NaN

    dt_d1

    Informs the date of application of the patient's first dose

    Date

    Date or NaN

    dt_d2

    Informs the patient's second dose application date

    Date

    Date or NaN

    comorbidities_txt

    Informs patients' comorbidities

    Categorical

    Free text or NaN

    immunization

    It informs the patient's immunization level according to the number of doses received and the interval (in days) of application of these doses

    Categorical

    “Partially”, “Fully” or “Not vaccinated”

    health_professionals

    Informs if the patient is a health professional

    Boolean

    0 or 1

    age_group

    Informs the age group of the hospitalized patient according to their age

    Categorical

    0-19, 20-49, 50-59, 60-69, 70-79, 80-89, 90+

    Article: Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil


    Authors: Ana Isabela L. Sales-Moioli, Leonardo J. Galvão-Lima, Talita K. B. Pinto, Pablo H. Cardoso, Rodrigo D. Silva, Felipe Fernandes, Ingridy M. P. Barbalho, Fernando L. O. Farias, Nicolas V. R. Veras, Gustavo F. Souza, Agnaldo S. Cruz, Ion G. M. Andrade, Lúcio Gama, Ricardo A. M. Valentim

  19. COVID-19 variants in Brazil 2020-2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). COVID-19 variants in Brazil 2020-2022 [Dataset]. https://www.statista.com/statistics/1285473/covid-19-variants-brazil-share/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2020 - Jul 2022
    Area covered
    Brazil
    Description

    As of July 18, 2022, Omicron was the most prevalent variant of COVID-19 sequenced in Brazil. By that time, the share of COVID-19 cases corresponding to the Omicron BA.5 variant amounted to around 73.74 percent of the country's analyzed sequences of the SARS-CoV-2 virus. A month earlier this figure was equal to about 33 percent of the cases studied in Brazil. The Omicron variant of SARS-CoV-2 - the virus causing COVID-19 - was designated as a variant of concern by the World Health Organization in November 2021. Since then, it has been rapidly spreading, causing an unprecedented increase in the amount of cases reported worldwide. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  20. f

    Data from: COVID-19 in Northeast Brazil: achievements and limitations in the...

    • datasetcatalog.nlm.nih.gov
    Updated Mar 24, 2021
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    Gabrielli, Ligia; Santos, Carlos Teles; de Araújo, Thália Velho Barreto; de Alencar Ximenes, Ricardo Arraes; Ichihara, Maria Yury; Kerr, Ligia; Souza, Rafael; de Albuquerque, Maria de Fatima Pessoa Militão; Pescarini, Julia M; de Almeida, Rosa Lívia Freitas; Martelli, Celina Maria Turchi; Santana, Guilherme; Oliveira, Juliane F; Kendall, Carl; de Jesus Silva, Natanael; Barreto, Maurício Lima; Aquino, Estela Maria L; de Barros Miranda Filho, Demócrito; de Souza, Wayner Vieira; da Silva, Antônio Augusto Moura; Jorge, Daniel Cardoso Pereira; Filho, Sinval Pinto Brandão; Almeida-Filho, Naomar (2021). COVID-19 in Northeast Brazil: achievements and limitations in the responses of the state governments [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000886207
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    Dataset updated
    Mar 24, 2021
    Authors
    Gabrielli, Ligia; Santos, Carlos Teles; de Araújo, Thália Velho Barreto; de Alencar Ximenes, Ricardo Arraes; Ichihara, Maria Yury; Kerr, Ligia; Souza, Rafael; de Albuquerque, Maria de Fatima Pessoa Militão; Pescarini, Julia M; de Almeida, Rosa Lívia Freitas; Martelli, Celina Maria Turchi; Santana, Guilherme; Oliveira, Juliane F; Kendall, Carl; de Jesus Silva, Natanael; Barreto, Maurício Lima; Aquino, Estela Maria L; de Barros Miranda Filho, Demócrito; de Souza, Wayner Vieira; da Silva, Antônio Augusto Moura; Jorge, Daniel Cardoso Pereira; Filho, Sinval Pinto Brandão; Almeida-Filho, Naomar
    Area covered
    Northeast Region, Brazil
    Description

    Abstract The COVID-19 pandemic has been most severe in the poorest regions of Brazil, such as the states of the Northeast Region. The lack of national policies for pandemic control forced state and municipal authorities to implement public health measures. The aim of this study is to show the effect of these measures on the epidemic. The highest incidence of COVID-19 among the nine states in the Northeast was recorded in Sergipe, Paraíba and Ceará. Piauí, Paraíba and Ceará were the states that most tested. Factors associated with transmission included the high proportion of people in informal work. States with international airports played an important role in the entry of the virus and the initial spread, especially Ceará. All states applied social distancing measures, banned public events and closed schools. The response was a significant increase in social distancing, especially in Ceará and Pernambuco, a decline in the reproduction rate (Rt), and a separation of the curve of observed cases versus expected cases if the non-pharmacological interventions had not been implemented in all states. Poverty, inequality, and the high rates of informal work provide clues to the intensity of COVID-19 in the region. On the other hand, the measures taken early by the governments mitigated the effects of the pandemic.

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Statista (2025). COVID-19 cases and deaths in Brazil 2020-2025 [Dataset]. https://www.statista.com/statistics/1107028/brazil-covid-19-cases-deaths/
Organization logo

COVID-19 cases and deaths in Brazil 2020-2025

Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 5, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 1, 2020 - May 11, 2025
Area covered
Brazil
Description

COVID-19 was first detected in Brazil on March 1, 2020, making it the first Latin American country to report a case of the novel coronavirus. Since then, the number of infections has risen drastically, reaching approximately 38 million cases by May 11, 2025. Meanwhile, the first local death due to the disease was reported in March 19, 2020. Four years later, the number of fatal cases had surpassed 700,000. The highest COVID-19 death toll in Latin America With a population of more than 211 million inhabitants as of 2023, Brazil is the most populated country in Latin America. This nation is also among the most affected by COVID-19 in number of deaths, not only within the Latin American region, but also worldwide, just behind the United States. These figures have raised a debate on how the Brazilian government has dealt with the pandemic. In fact, according to a study carried out in May 2021, more than half of Brazilians surveyed disapproved of the way in which former president Jair Bolsonaro had been dealing with the health crisis. In comparison, a third of respondents had a similar opinion about the Ministry of Health. Brazil’s COVID-19 vaccination campaign rollout Brazil’s vaccination campaign started at the beginning of 2021, when a nurse from São Paulo became the first person in the country to get vaccinated against the disease. A few years later, roughly 88 percent of the Brazilian population had received at least one vaccine dose, while around 81 percent had already completed the basic immunization scheme. With more than 485.2 million vaccines administered as of March 2023, Brazil was the fourth country with the most administered doses of the COVID-19 vaccine globally, after China, India, and the United States.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

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