A survey conducted in 2021 found that highly educated people were the social and demographic group that most commonly reported affections on their mental health during the COVID-19 pandemic in Brazil, with approximately ** percent of respondents stating they considered their mental health had been impacted by the sanitary crisis. Young people aged 16 to 24, and women, followed, as reported by ** percent and ** percent of those interviewed, respectively. As of 2022, Brazil had an overall mental health infrastructure index score of ***** points out of 100.

ObjectiveThis study aimed to analyze the chain of events and contributing causes associated with COVID-19 adult mortality (30–69 years old), based on qualified data on CoD from three Brazilian capitals cities, Belo Horizonte, Salvador, and Natal, in 2020.MethodsData of all deaths among residents in the three capitals in 2020 were provided by these municipalities' routine Mortality Information System (SIM). Mentions B34.2 with the markers U07.1 and U07.2 in the death certificate identified COVID-19 deaths. We used a multiple-cause-of-death approach better to understand the complexity of the morbid process of COVID-19. Conditions that appeared more frequently in the same line or above the COVID-19 mentions in the death certificate were considered a chain-of-event. Conditions that occurred more often after the codes for COVID-19 were considered as contributing.ResultsIn 2020, 7,029 records from COVID-19 as the underlying cause of death were registered in SIM in the three capitals. Among these, 2,921 (41.6%) were deceased between 30 and 69 years old, representing 17.0% of deaths in this age group. As chain-of-events, the most frequent conditions mentioned were sepsis (33.4%), SARS (32.0%), acute respiratory failure (31.9%), unspecified lower respiratory infections (unspecified pneumonia) (20.1%), and other specified respiratory disorders (14.1%). Hypertension (33.3%), diabetes unspecified type (21.7%), renal failure (12.7%), obesity (9.8%), other chronic kidney diseases (4.9%), and diabetes mellitus type 2 (4.7%) were the most frequent contributing conditions. On average, 3.04 conditions were mentioned in the death certificate besides COVID-19. This average varied according to age, place of death, and capital.ConclusionThe multiple-cause analysis is a powerful tool to better understand the morbid process due to COVID-19 and highlight the importance of chronic non-communicable diseases as contributing conditions.

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 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.

Acknowledgements

reference: https://www.seade.gov.br/coronavirus/

Inspiration

Understand the progression of the virus in the state of Sao Paulo - Brazil

Context

Covid cases in Porto Alegre, Rio Grande do Sul, Brazil, extracted from the government exported data (avaliable on https://ti.saude.rs.gov.br/covid19/)

Content

This dataset is a filtered cleaned data from the raw csv file. It was downloaded and edited in Python.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Context

COVID-19 is the disease caused by the recent discovered Sars-CoV-2 virus in 2020. The virus was first detected in Wuhan, China and spread around the globe, causing a pandemic. This dataset contains data of the COVID-19 pandemic in the city of Limeira, SP, Brazil.

The city of Limeira is located at Sao Paulo State, in Brazil, and has almost 300k habitants. For deal with de pandemic, the city built the URC (Coronavirus Reference Unit), an area at one of the city hospitals for treatment to COVID cases only.

Content

The data was acquired by scrapping the daily public bouletin from the official website of the city hall of Limeira.

Inspiration

This dataset was built along the year, to make data visualizations and some estimations, for better understanding the pandemic evolution in this city.

Furthermore, there is an expectation to build or apply machine learning models to predict confirmed cases and deaths.

ABSTRACT: Objective: To describe changes in socioeconomic and health conditions of Brazilians during the COVID-19 pandemic. Methodology: Cross-sectional study with data from a web-based behavioral survey carried out from April 24 to May 24, 2020, with 45,161 participants recruited by the chain sampling method. A descriptive analysis of the survey topics was performed: adherence to social restriction measures, diagnosis of the new coronavirus, work situation and income, difficulties in routine activities, presence of comorbidities, psychological issues, and access to health services. Prevalence and respective 95% confidence intervals were estimated. Results: Approximately 74% of Brazilians adhered to social restrictions. As for flu symptoms, 28.1% reported having at least one flu symptom, but only 5.9% underwent testing for COVID-19. Regarding the socioeconomic impact, 55.1% reported a decrease in family income, and 7.0% were left without any income; 25.8% of the people lost their jobs, with the group of informal workers being the most affected (50.6%). As for health conditions, 29.4% reported worsening of health status; 45%, having sleep problems; 40% frequently presented feelings of sadness, and 52.5%, of anxiety; 21.7% sought health care, and, among them, 13.9% did not get care. Conclusion: The findings show the importance of controlling the COVID-19 pandemic in Brazil, to mitigate the adverse effects on the socioeconomic and health conditions related to social restriction measures.

Crude analysis for the association between contextual factors and the occurrence of COVID-19 cases in the largest medium-sized cities in the interior of Northeast Brazil outside the metropolitan regions.

In April 2020, amidst the COVID-19 pandemic, the majority (57.7 percent) of mobile app deliverers surveyed in Brazil said the mobile apps they worked with did not offer them any protection measures against the disease. Furthermore, nearly 62 percent of mobile app deliverers stated that they worked at least nine hours per day during the outbreak of the disease.

The COVID-19 situation in Brazil is complex due to large differences in the shape and size of regional epidemics. Here we tested monthly blood donation samples for IgG antibodies from March 2020 to March 2021 in eight of Brazil’s most populous cities. The inferred attack rate of SARS-CoV-2 adjusted for seroreversion in December 2020, before the Gamma VOC was dominant, ranged from 19.3% (95% CrI 17.5% - 21.2%) in Curitiba to 75.0% (95% CrI 70.8% - 80.3%) in Manaus. Seroprevalence was consistently smaller in women and donors older than 55 years. The age-specific infection fatality rate (IFR) differed between cities and consistently increased with age. The infection hospitalisation rate (IHR) increased significantly during the Gamma-dominated second wave in Manaus, suggesting increased morbidity of the Gamma VOC compared to previous variants circulating in Manaus. The higher disease penetrance associated with the health system’s collapse increased the overall IFR by a minimum factor of 2.91 (95% CrI 2.43 – 3.53). These results highlight the utility of blood donor serosurveillance to track epidemic maturity and demonstrate demographic and spatial heterogeneity in SARS-CoV-2 spread. Methods We tested 97,950 blood donation samples for anti-SARS-CoV-2 IgG antibodies using the anti-N Abbott chemiluminescent microparticle immunoassay (CIMA). Tests were performed from March 2020 to March 2021 in eight Brazilian capitals: São Paulo, Manaus, Belo Horizonte, Curitiba, Fortaleza, Recife, Rio de Janeiro.We also tested blood samples from convalescent plasma donors to estimate the sensitivity of the assay. To estimate test specificity, we tested blood donation samples from São Paulo collected in February 2020, before the beginning of the SARS-CoV-2 epidemic in Brazil. In order to estimate the time-to-seroreversion distribution (used to correct for antibody waning), we also tested samples from repeat blood donors.Please see "Methods" section in the manuscript for more detailed information on this dataset.

Abstract Objectives: to analyze the working conditions of health professionals facing the COVID-19 pandemic in Brazil based on online media reports published in prominent news portals. Methods: qualitative analysis of 22 news stories selected from two of the main Brazilian news portals, published between April 20 and 30, 2020. Based on thematic content analysis, we defined five categories: Personal Protective Equipment (PPE) and COVID-19; health workers with comorbidities working on the front line; illness and death due to work; access to treatment and work leave due to COVID-19; resigning from work and professional updating. Results: the news stories reported inadequate working conditions due to lack of and/or inadequate PPE; health care workers with comorbidities remaining at work; sickness and death from COVID-19; strain and fear of being infected, and having to deal with co-workers’ sickness and death; difficulties in getting tested for COVID-19 and obtaining sick leave for treatment; resigning from health care work; need for fast professional updating for COVID-19 health care. Conclusion: the pandemic clearly evidences the need for public investment in health care for workers in charge of caring for the population.

According to a survey conducted in Brazil in 2022, the regions with the highest share of people experiencing increased anxiety and anguish feelings during the COVID-19 pandemic were the North and the Northeast regions, with approximately ** percent of respondents stating having experienced these type of feelings. The Southeast region followed, with around ** percent of respondents reporting higher anxiety levels and emotional distress amid the COVID-19 pandemic. As of 2019, anxiety disorders and depressive disorders had the highest disability-adjusted life years per 100,000 population due to mental health conditions in Brazil.

Sensitivity analysis using actual age distribution for Brazil. (XLSX)

Abstract The article aims to discuss the consequences of social distancing measures on the availability of blood and organization of blood therapy services at the beginning of the Covid-19 pandemic in Brazil. News published in April 2020 on the websites of the country’s state Blood Service Networks were consulted and organized in an Excel spreadsheet, presented in summary charts, and descriptions of results were prepared. A critical situation of blood supply, especially of some blood types, has been observed in many states. This situation is influenced by the circulation of the new coronavirus. The adoption of social distancing measures associated with unchanged transfusion demands for outpatient, urgency and emergency care required the implementation of strategies and actions for the reorganization of the services. Protection measures were incorporated, flows were changed and new routines were established. This study shows the extent to which the epidemiological situation of Covid-19 and the necessary measures for its control influenced the stocks and availability of blood. Changes in the organization of blood therapy services were fundamental in order to ensure protection, mitigate the risks of spreading the virus, and ensure the blood supply to meet the needs of the health system.

The COVID-19 outbreak quickly became a pandemic. In Brazil, more than seven million cases were recorded in 2020. Most patients affected by the disease were admitted to intensive care units (ICU), requiring qualitative polypharmacy, increasing the risk of serious adverse drug reactions (ADE), especially cardiovascular. The COVID-19 medical emergency has highlighted the need for rapid action in the medication management of ICU patients. Thus, the use of technologies to assist the work of healthcare professionals can be decisive in patient survival, especially in ICU overcrowding scenarios. This study aimed to identify cardiovascular ADE in the ICU of a reference hospital for the treatment of COVID-19 in Brasília, Brazil.

Context

It seeks to identify the influence of the human development index and the fatality rate of COVID-19.

Content

This dataframe contains the countries, number of cases and deaths until April 14, 2020. And the HDI - 2014 of the countries.

tx is rate of fatality (death/cases)

Acknowledgements

https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200413-sitrep-84-covid-19.pdf?sfvrsn=44f511ab_2 https://www.br.undp.org/content/brazil/pt/home/idh0/rankings/idh-global.html

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

On May 10, 2021, Brazil ranked second in the world in COVID-19 deaths. Understanding risk factors, or social and ethnic inequality in health care according to a given city population and political or economic weakness is of paramount importance. Brazil had a seriousness COVID-19 outbreak in light of social and economic factors and its complex racial demographics. The objective of this study was to verify the odds of mortality of hospitalized patients during COVID-19 infection based on their economic, social, and epidemiological characteristics. We found that odds of death are greater among patients with comorbidities, neurological (1.99) and renal diseases (1.97), and immunodeficiency disorders (1.69). While the relative income (2.45) indicates that social factors have greater influence on mortality than the comorbidities studied. Patients living in the Northern macro-region of Brazil face greater chance of mortality compared to those in Central-South Brazil. We conclude that, during the studied period, the chances of mortality for COVID-19 in Brazil were more strongly influenced by socioeconomic poverty conditions than by natural comorbidities (neurological, renal, and immunodeficiency disorders), which were also very relevant. Regional factors are relevant in mortality rates given more individuals being vulnerable to poverty conditions.

Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over half a million deaths worldwide. Brazil has been particularly impacted, registering more than 1.3 million infections and 57,000 deaths by late June 2020. Aggregate numbers of cases are essential in modeling the epidemic and planning responses; however, more detailed analysis of risk factors associated with SARS-CoV-2 infection are needed. Our study provides an initial examination of characteristics associated with receiving a doctor’s diagnosis of COVID-19 among a nationally representative sample of Brazilians aged 50 and over. Data are derived from the second wave of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) and a telephone follow-up survey to ELSI-Brazil participants, known as the ELSI-COVID-19 initiative. The telephone survey was conducted between 26 May and 8 June 2020. Results show that about 2.4% (n = 70) of the sample reported being told by a doctor they had COVID-19, however, only about half of these individuals (n = 37) reported receiving a diagnostic confirmation from viral testing (RT-PCR). Demographic factors (aged 50-60 years), socioeconomic factors (lower household income), health-related factors (obesity, three or more chronic conditions), and geography (living in the Northern region of the country) were positively associated with reporting a COVID-19 diagnosis. Despite the descriptive and preliminary nature of these findings, results reported here suggest the need for more targeted approaches to enhance personal protection and provide greater viral testing options, especially for older, sicker and more vulnerable adults in Brazil.