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.

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

As of May 2, 2023, Brazil was the country with the highest number of confirmed cases of COVID-19 in Latin America and the fifth highest in the world, reaching over 37 million patients. By state, São Paulo ranked first, with more than 6.6 million confirmed cases of the disease as of September 21, 2023. Minas Gerais followed, with over 4.2 million confirmed cases of coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Brazil is the Latin American country affected the most by the COVID-19 pandemic. As of May 2025, the country had reported around 38 million cases. It was followed by Argentina, with approximately ten million confirmed cases of COVID-19. In total, the region had registered more than 83 million diagnosed patients, as well as a growing number of fatal COVID-19 cases. The research marathon Normally, the development of vaccines takes years of research and testing until options are available to the general public. However, with an alarming and threatening situation as that of the COVID-19 pandemic, scientists quickly got on board in a vaccine marathon to develop a safe and effective way to prevent and control the spread of the virus in record time. Over two years after the first cases were reported, the world had around 1,521 drugs and vaccines targeting the COVID-19 disease. As of June 2022, a total of 39 candidates were already launched and countries all over the world had started negotiations and acquisition of the vaccine, along with immunization campaigns. COVID vaccination rates in Latin America As immunization against the spread of the disease continues to progress, regional disparities in vaccination coverage persist. While Brazil, Argentina, and Mexico were among the Latin American nations with the most COVID-19 cases, those that administered the highest number of COVID-19 doses per 100 population are Cuba, Chile, and Peru. Leading the vaccination coverage in the region is the Caribbean nation, with more than 406 COVID-19 vaccines administered per every 100 inhabitants as of January 5, 2024.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Total Covid cases per million people in Brazil, March, 2023 The most recent value is 173044 cases per million as of March 2023, an increase compared to the previous value of 171956 cases per million. Historically, the average for Brazil from February 2020 to March 2023 is 90410 cases per million. The minimum of 0 cases per million was recorded in February 2020, while the maximum of 173044 cases per million was reached in March 2023. | TheGlobalEconomy.com

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.

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.

New Covid cases per month in Brazil, March, 2023 The most recent value is 234246 new Covid cases as of March 2023, an increase compared to the previous value of 230156 new Covid cases. Historically, the average for Brazil from February 2020 to March 2023 is 981087 new Covid cases. The minimum of 1 new Covid cases was recorded in February 2020, while the maximum of 3529428 new Covid cases was reached in February 2022. | TheGlobalEconomy.com

COVID-19: No. of Tests: Mild to Moderate Cases: New: by State: North: Rondônia: Undefined data was reported at 0.000 Unit in 29 May 2024. This stayed constant from the previous number of 0.000 Unit for 28 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: by State: North: Rondônia: Undefined data is updated daily, averaging 0.000 Unit from Jan 2020 (Median) to 29 May 2024, with 1609 observations. The data reached an all-time high of 11.000 Unit in 29 Jul 2020 and a record low of 0.000 Unit in 29 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: by State: North: Rondônia: Undefined 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.HLA002: Disease Outbreaks: COVID-19: Number of Tests: Mild to Moderate Cases.

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.

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

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

Criteria for confirmed cases: * Final classification (variable CLASSI_FIN) = 5 * Antigenic test result (variable AN_SARS2) = 1 * RT-PCR test result (variable AN_SARS2) = 1 For death episodes: * confirmed cases that progressed to death (variable EVOLUCAO = 2) * death from other causes (variable EVOLUCAO = 3) Reference date for cases: * symptom onset date (variable DT_SIN_PRI) Reference date for death episodes: * case evolution date (variable DT_EVOLUCA) * for missing dates, the closest date was used: case closing date, ICU discharge date, ICU entry date, testing date, notification date Age groups follow a five-years interval Phase and peak variables were created based on epidemiological weeks.

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.

Citation

Full description of the data at https://doi.org/10.1590/SciELOPreprints.362

Full dataset daily updated

The most updated dataset is available at https://github.com/wcota/covid19br and https://covid19br.wcota.me/

Description

Confirmed cases and deaths by day, using official information given by Ministério da Saúde, data at the municipal level by Brasil.IO and the most recent reported cases by @CoronavirusBra1.

The data contains the IBGE identifier, GPS coordinates of the cities and temporal evolution of the number of cases and deaths.

Please, If you enjoyed this dataset, don't forget to upvote it.

Content

From Novel Corona Virus 2019 Dataset:

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has information on the number of cases in Brazil. Please note that this is a time series data and so the number of cases on any given day is a cumulative number.

The data is available from Jan/30/2020, when the first suspect case appeared in Brazil.

Acknowledgements

1. Avisos/Advertising - Please, before start working with this data, take a break to read this discussion.
2. Plataforma COVID Brazil - Public platform to share informations about the COVID-19 cases in Brazil.

Country level datasets

If you are interested in know about another country, please follow these Kaggle datasets:

• Novel Corona Virus 2019 Dataset - https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
• India - https://www.kaggle.com/sudalairajkumar/covid19-in-india
• South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset
• Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy
• USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa
• Switzerland - https://www.kaggle.com/daenuprobst/covid19-cases-switzerland
• Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases
• Turkey - https://www.kaggle.com/gkhan496/covid19-in-turkey
• France - https://www.kaggle.com/lperez/coronavirus-france-dataset
• Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia
• Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan

Inspiration

1. Changes in number of cases over time
2. Change in cases over time at state level

This dataset contains three brazilian open COVID-19 datasets from June 1st, 2020. The Flu-Like Syndrome dataset contains several information about flu-like syndrome (Síndrome Gripal) patients. It contains mostly mild Flu-Like Syndrome cases, including COVID-19 confirmed cases. There is not an official codebook for this dataset, but portuguese speakers can easily infer the meaning of the columns.

The SARS dataset (Severe Acute Respiratory Syndrome, or Síndrome Respiratória Aguda Grave - SRAG - in portuguese) contains mostly cases where hospitalization is needed (even though some of the cases from this dataset didn't need hospitalization. These cases can be filtered using the column "HOSPITA"). Part of the patients from this dataset are confirmed COVID-19 cases (the column "CLASSI_FIN" is 5 for confirmed cases). There is an official codebook for this dataset (SARS_Codebook.pdf), but unfortunately it is written in portuguese.

The Officially Reported Cases dataset contains only confirmed COVID-19 cases that were officially reported by the government. It contains the number of cases and deaths reported until each day for each Brazilian city.

When analyzing the data, beware of notification lag: These datasets contains the cases reported until June 1st, but notified cases usually take some days to be reported. This explains the small number of cases for dates close to June 1st in the Flu-Like Syndrome and SARS datasets.

All datasets shared here are open datasets that were shared by the Brazilian Ministry of Health. The Flu-Like Syndrome and SARS datasets were downloaded from https://opendatasus.saude.gov.br, and the dataset for officially reported cases was downloaded from https://covid.saude.gov.br/. However, the Flu-Like Syndrome and the officially reported cases datasets were removed from these websites on June 7, 2020, and June 6, 2020, respectively.

COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: Central West: Distrito Federal: Undefined data was reported at 0.000 Unit in 30 May 2024. This stayed constant from the previous number of 0.000 Unit for 29 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: Central West: Distrito Federal: Undefined data is updated daily, averaging 0.000 Unit from Jan 2020 (Median) to 30 May 2024, with 1611 observations. The data reached an all-time high of 1.000 Unit in 03 Sep 2021 and a record low of 0.000 Unit in 30 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: Central West: Distrito Federal: Undefined 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.HLA002: Disease Outbreaks: COVID-19: Number of Tests: Mild to Moderate Cases.

Abstract Objective: to analyze confirmed cases and deaths by COVID-19 among nursing professionals in Brazil. Methods: epidemiological study using geoprocessing techniques. Data from March 20 until May 28 2020 were collected from the Conselho Federal de Enfermagem [Brazilian Federal Nursing Council]. We used Chi-squared, Mantel-Haenszel, and G test for analysing the association between deaths and age group, sex, geographical region of work. Results: 17,414 suspicious cases, 5,732 confirmed cases and 134 deaths occurred in the period. The Southeast region showed the highest number of cases (46.35%) and deaths (44.78%). The most affected age group regarding cases was 31-40 years (n = 2,515), and regarding deaths, 41-50 (n = 38). The death rate was higher in men. The variables “age group”, “sex” and “geographical region of work” were significantly correlated to deaths by COVID-19 (p < 0.05). The states Amapá, Roraima and Bahia presented the highest rate of cases per 1,000 officially acknowledged nursing professionals (6.28, 6.10 and 5.99, respectively). Conclusion: the data indicate the need for a critical perspective on the nursing field in order to combat COVID-19.

Dataset

This dataset was created by Luiz Fernando

Released under CC0: Public Domain

Contents

COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: North: Amapá: Undefined data was reported at 0.000 Unit in 31 May 2024. This stayed constant from the previous number of 0.000 Unit for 30 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: North: Amapá: Undefined data is updated daily, averaging 0.000 Unit from Jan 2020 (Median) to 31 May 2024, with 1613 observations. The data reached an all-time high of 1.000 Unit in 29 Jul 2020 and a record low of 0.000 Unit in 31 May 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: Rapid Tests: Antigen: by State: North: Amapá: Undefined 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.HLA002: Disease Outbreaks: COVID-19: Number of Tests: Mild to Moderate Cases.

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.