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.

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.

Data of COVID-19 in Brazil

Souce: https://covid.saude.gov.br/ Updated in 16 November 2020

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.

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.

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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

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.

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.

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

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 COVID-19 Vaccination: Dose data was reported at 548.000 Dose in 07 Dec 2024. This records a decrease from the previous number of 2,972.000 Dose for 06 Dec 2024. Brazil COVID-19 Vaccination: Dose data is updated daily, averaging 29.000 Dose from Mar 2020 (Median) to 07 Dec 2024, with 1721 observations. The data reached an all-time high of 607,642.000 Dose in 07 Jul 2021 and a record low of 0.000 Dose in 14 Apr 2024. Brazil COVID-19 Vaccination: Dose 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.HLA006: Disease Outbreaks: COVID-19: Vaccination.

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.

Brazilian COVID-19 Parliamentary Commission of Inquiry (PCI), 2021

Installed in April 2021, the COVID-19 Parliamentary Commission of Inquiry (PCI) aimed to investigate omissions and irregularities committed by the federal government during the COVID pandemic in Brazil, which resulted in the death of more than 660,000 Brazilians and placed it among the countries with the most deaths caused by COVID-19.

This dataset has 3,397,933 tweets, splitted in days and weeks, extracted over a period of 26 weeks. It contains textual data from tweets, data about users (@ and description), and data about interactions between users. It can be used to improve textual cleaning techniques, toxic speech detection, clustering, and even Social Network Analysis and social graph studies. Data format is parquet.

This dataset is part of a paper[1], published by its author, which aimed to do a social network analysis related to the CPI topic, to investigate evidence of political polarization. The source codes and jupyter notebooks are available on GitHub.

[1] Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil. WebMedia 2022. Lucas Raniére J. Santos, Leandro B. Marinho, Caludio E. C. Campelo.

In April 2021, Brazil reached a new record of deaths due to COVID-19 in a day, with more than 4,200 thousand fatalities reported within 24 hours. That same month, the country's gross domestic product (GDP) was expected to increase by 3.17 percent during the year, down from a growth of nearly 3.5 percent forecast two months earlier. Since then, expectations have improved, with a forecast growth of 5.27 percent as of the third week of July.By December 2020, Brazil's GDP was forecast to decrease by 4.4 percent during 2020, an improvement in comparison to the 6.5 percent decrease forecast by the beginning of July. This figure, which had remained stable at a 2.3 percent forecast growth during the first months of the year, decreased for five consecutive months amidst the outbreak of COVID-19 in Brazil. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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.

Abstract Refugees are forcibly displaced people who fled their home countries due to persecutions because of their religion, nationality, political opinion, race, or being part of a particular social group. Brazilian Law 9474/1997 recognizes people who are fleeing a situation of severe and generalized violation of human rights as refugees. According to Brazilian law and Constitution, refugees have the same rights as Brazilians. However, my research with 29 refugees living in the states of São Paulo and Rio de Janeiro shows that refugees are disproportionately affected by the Brazilian responses to the COVID-19 pandemic. This article discusses how refugees in Brazil are affected by federal responses to the pandemic. I conducted 29 semi-structured phenomenological interviews with refugees between March 27, 2020, and April 06, 2020. These interviews were analyzed considering responses adopted by the Brazilian government (at the federal level) to respond to COVID-19. I conclude that refugees are affected by the closure of the borders and their rights to documentation, healthcare, and social assistance (the emergency benefit) are violated.

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.

How did Brazil become a global epicenter of the outbreak? After seeming to ease, is the virus making a comeback?

A world leader in infections and deaths.

Latin America became an epicenter of the coronavirus pandemic in May, driven by Brazil’s ballooning caseload. Ten months after its first known case, Brazil has had more than 7.9 million cases and over 200,000 deaths.

In early June, Brazil began averaging about 1,000 deaths per day from Covid-19, joining the United States — and later India — as the countries with the world’s largest death tolls.

This dataset contains information about COVID-19 in Brazil extracted on the date 16/06/2021. It is the most updated dataset available about Covid in Brazil

Features:

🔍 date: date that the data was collected. format YYYY-MM-DD.
🔍 state: Abbreviation for States. Example: SP
🔍 city: Name of the city (if the value is NaN, they are referring to the State, not the city)
🔍 place_type: Can be City or State
🔍 order_for_place: Number that identifies the registering order for this location. The line that refers to the first log is going to be shown as 1, and the following information will start the count as an index.
🔍 is_last: Show if the line was the last update from that place, can be True or False
🔍 city_ibge_code: IBGE Code from the location
🔍confirmed: Number of confirmed cases.
🔍deaths: Number of deaths.
🔍estimated_population: Estimated population for this city/state in 2020. Data from IBGE
🔍estimated_population_2019: Estimated population for this city/state in 2019. Data from IBGE.
🔍confirmed_per_100k_inhabitants: Number of confirmed cases per 100.000 habitants (based on estimated_population).
🔍death_rate: Death rate (deaths / confirmed cases).

Acknowledgements

This dataset was downloaded from the URL bello. Thanks, Brasil.IO! Their main goal is to make all Brazilian data available to the public DATASET URL: https://brasil.io/dataset/covid19/files/ Cities map file https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2020/Brasil/BR/

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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.

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.