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Context - World Health Organization (WHO)

• Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus (2019-nCoV).
• At this time, there are no specific vaccines or treatments for COVID-19. However, there are many ongoing clinical trials evaluating potential treatments.
• The best way to prevent and slow down transmission is to be well informed about the COVID-19 virus, the disease it causes, and how it spreads.
• As of 28 April 2020, 71.886 cases have been confirmed in Brazil.

Content

1. This dataset has information on the number of confirmed cases, deaths, and recoveries (by neighborhood) in the city of Rio de Janeiro, Brazil.
2. Please note that this is a time-series data and so the number of cases on any given day is a cumulative number.
3. The number of new cases can be obtained by the difference between current and previous days.
4. The data is available from 21 April 2020 and the dataset is updated on a daily basis.

Acknowledgements

• Rio de Janeiro City Hall, Municipal Health Secretariat & Others - Painel COVID-19 Rio
• Raphael Fontes @unanimad - Dataset Inspiration

Inspiration

• Changes in the number of confirmed cases, deaths, and recoveries by neighborhood over time.
• Changes in the number of confirmed cases, deaths, and recoveries at the city level.
• Spread of the disease in the city.

COVID-19: No. of Tests: Mild to Moderate Cases: New: RT-PCR Tests: by State: Southeast: Rio de Janeiro: Undefined data was reported at 0.000 Unit in 04 Jun 2024. This stayed constant from the previous number of 0.000 Unit for 03 Jun 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: RT-PCR Tests: by State: Southeast: Rio de Janeiro: Undefined data is updated daily, averaging 0.000 Unit from Jan 2020 (Median) to 04 Jun 2024, with 1617 observations. The data reached an all-time high of 4.000 Unit in 29 Jul 2021 and a record low of 0.000 Unit in 04 Jun 2024. COVID-19: No. of Tests: Mild to Moderate Cases: New: RT-PCR Tests: by State: Southeast: Rio de Janeiro: 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.

Given the characteristics of the COVID-19 pandemic and the limited tools for orienting interventions in surveillance, control, and clinical care, the current article aims to identify areas with greater vulnerability to severe cases of the disease in Rio de Janeiro, Brazil, a city characterized by huge social and spatial heterogeneity. In order to identify these areas, the authors prepared an index of vulnerability to severe cases of COVID-19 based on the construction, weighting, and integration of three levels of information: mean number of residents per household and density of persons 60 years or older (both per census tract) and neighborhood tuberculosis incidence rate in the year 2018. The data on residents per household and density of persons 60 years or older were obtained from the 2010 Population Census, and data on tuberculosis incidence were taken from the Brazilian Information System for Notificable Diseases (SINAN). Weighting of the indicators comprising the index used analytic hierarchy process (AHP), and the levels of information were integrated via weighted linear combination with map algebra. Spatialization of the index of vulnerability to severe COVID-19 in the city of Rio de Janeiro reveals the existence of more vulnerable areas in different parts of the city’s territory, reflecting its urban complexity. The areas with greatest vulnerability are located in the North and West Zones of the city and in poor neighborhoods nested within upper-income parts of the South and West Zones. Understanding these conditions of vulnerability can facilitate the development of strategies to monitor the evolution of COVID-19 and orient measures for prevention and health promotion.

ABSTRACT Objective: To estimate the reporting rates of coronavirus disease 2019 (COVID-19) cases for Brazil as a whole and states. Methods: We estimated the actual number of COVID-19 cases using the reported number of deaths in Brazil and each state, and the expected case-fatality ratio from the World Health Organization. Brazil’s expected case-fatality ratio was also adjusted by the population’s age pyramid. Therefore, the notification rate can be defined as the number of confirmed cases (notified by the Ministry of Health) divided by the number of expected cases (estimated from the number of deaths). Results: The reporting rate for COVID-19 in Brazil was estimated at 9.2% (95%CI 8.8% - 9.5%), with all the states presenting rates below 30%. São Paulo and Rio de Janeiro, the most populated states in Brazil, showed small reporting rates (8.9% and 7.2%, respectively). The highest reporting rate occurred in Roraima (31.7%) and the lowest in Paraiba (3.4%). Conclusion: The results indicated that the reporting of confirmed cases in Brazil is much lower as compared to other countries we analyzed. Therefore, decision-makers, including the government, fail to know the actual dimension of the pandemic, which may interfere with the determination of control measures.

Coronavirus - Rio de Janeiro

Coronavirus cases for Rio de Janeiro - confirmed cases, deaths and case metadata (sex, age group, neighborhood). Also avaiable as an R package: https://github.com/mralbu/coronavirusbrazil

Data Sources

• Rio de Janeiro: Secretaria de Saúde - RJ

Profile of SARS due to COVID-19 cases, State of Rio de Janeiro, March–December 2020.

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.

COVID-19: No. of Tests: Serious Cases: New: by State: Southeast: Rio de Janeiro: Ignored data was reported at 0.000 Unit in 31 Jan 2025. This stayed constant from the previous number of 0.000 Unit for 30 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: Southeast: Rio de Janeiro: Ignored data is updated daily, averaging 0.000 Unit from Aug 2002 (Median) to 31 Jan 2025, with 8191 observations. The data reached an all-time high of 1.000 Unit in 08 Dec 2020 and a record low of 0.000 Unit in 31 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: Southeast: Rio de Janeiro: 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.

Please see Materials and Methods section in Supplementary Materials.

COVID-19: No. of Tests: Serious Cases: New: Rapid Test: Antigen: by State: Southeast: Rio de Janeiro 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: Rapid Test: Antigen: by State: Southeast: Rio de Janeiro 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 51.000 Unit in 30 Nov 2020 and a record low of 0.000 Unit in 28 Mar 2025. COVID-19: No. of Tests: Serious Cases: New: Rapid Test: Antigen: by State: Southeast: Rio de Janeiro 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.

This data set composes the input to forecast the number of cases and the information to apply stochastic optimization model to locate field hospitals.

Unadjusted and adjusted odds ratios for factors associated with animal SARS-CoV-2 infection, between May 2nd, 2020 and October 7th, 2020 (metropolitan region of the state of Rio de Janeiro, Brazil), (n = 39).

BackgroundThe COVID-19 pandemic has significantly impacted global health, with diverse factors influencing the risk of death among reported cases. This study mainly analyzes the main characteristics that have contributed to the increase or decrease in the risk of death among Severe Acute Respiratory Syndrome (SARS) cases classified as COVID-19 reported in southeast Brazil from 2020 to 2023.MethodsThis cohort study utilized COVID-19 notification data from the Sistema de Vigilância Epidemiológica (SIVEP) information system in the southeast region of Brazil from 2020 to 2023. Data included demographics, comorbidities, vaccination status, residence area, and survival outcomes. Classical Cox, Cox mixed effects, Prentice, Williams & Peterson (PWP), and PWP fragility models were used to assess the risk of dying over time.ResultsAcross 987,534 cases, 956,961 hospitalizations, and 330,343 deaths were recorded over the period. Mortality peaked in 2021. The elderly, males, black individuals, lower-educated, and urban residents faced elevated risks. Vaccination reduced death risk by around 20% and 13% in 2021 and 2022, respectively. Hospitalized individuals had lower death risks, while comorbidities increased risks by 20–26%.ConclusionThe study identified demographic and comorbidity factors influencing COVID-19 mortality. Rio de Janeiro exhibited the highest risk, while São Paulo had the lowest. Vaccination significantly reduces death risk. Findings contribute to understanding regional mortality variations and guide public health policies, emphasizing the importance of targeted interventions for vulnerable groups.

ABSTRACT Objective: To analyse the measures adopted by countries that have shown control over the transmission of coronavirus disease 2019 (COVID-19) and how each curve of accumulated cases behaved after the implementation of those measures. Methods: The methodology adopted for this study comprises three phases: systemizing control measures adopted by different countries, identifying structural breaks in the growth of the number of cases for those countries, and analyzing Brazilian data in particular. Results: We noted that China (excluding Hubei Province), Hubei Province, and South Korea have been effective in their deceleration of the growth rates of COVID-19 cases. The effectiveness of the measures taken by these countries could be seen after 1 to 2 weeks of their application. In Italy and Spain, control measures at the national level were taken at a late stage of the epidemic, which could have contributed to the high propagation of COVID-19. In Brazil, Rio de Janeiro and São Paulo adopted measures that could be effective in slowing the propagation of the virus. However, we only expect to see their effects on the growth of the curve in the coming days. Conclusion: Our results may help decisionmakers in countries in relatively early stages of the epidemic, especially Brazil, understand the importance of control measures in decelerating the growth curve of confirmed cases.

Abstract: INTRODUCTION: We evaluated the performance of the Holt’s model to forecast the daily COVID-19 reported cases in Brazil and three Brazilian states. METHODS: We chose the date of the first COVID-19 case to April 25, 2020, as the training period, and April 26 to May 3, 2020, as the test period. RESULTS: The Holt’s model performed well in forecasting the cases in Brazil and in São Paulo and Minas Gerais states, but the forecasts were underestimated in Rio de Janeiro state. Conclusions: The Holt’s model can be an adequate short-term forecasting method if their assumptions are adequately verified and validated by experts.

Painel de dados sobre as ocorrência da COVID-19 na Cidade do Rio de Janeiro criado pela Secretaria Municipal de Saúde através da plataforma online do Sistema Municipal de Informações Urbanas - SIURB. Contém informações atualizadas diariamente sobre os casos confirmados e suspeitos no município através de mapas, gráficos e outras formas de visualização da informação.Este painel foi criado com apoio técnico do Instituto Pereira Passos e suporte gratuito da empresa Imagem Geossistemas.

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The acrylonitrile market is expected to grow at a CAGR of 4% during the forecast period. Rising demand from the automotive industry, drivers.2, and drivers.3 are some of the significant factors fueling acrylonitrile market growth.

Rising demand from the automotive industry

In South America, Argentina, Brazil, and Colombia, and the Caribbean offer growth opportunities to acrylonitrile vendors. Acrylonitrile manufacturers in the region are focusing on various factors, such as cost-effective labor, low transportation costs, and lenient government regulations, to establish their manufacturing units. The extensive use of acrylonitrile to manufacture ABS and SAN, acrylic fibers, PAM, and NBR will have a considerable influence on the regional acrylonitrile market during the forecast period. Brazil has the presence of a large number of synthetic fiber manufacturers that contribute significantly to the country’s textile market. Brazil is the leading textile exporter in South America. Despite low per capita income and medical expenditure, the country has the largest economy and one of the fastest-growing textile markets in the region. The textile market in Brazil is expected to grow at a CAGR approximately 5.5% during the forecast period. Large Brazilian cities such as Sao Paulo and Rio de Janeiro account for the highest expenditure on textiles. The increasing consumption of textiles in Brazil is expected to boost the demand for acrylic fibers and acrylonitrile during the forecast period. In Argentina, the rise in automotive production will drive the consumption of acrylonitrile during the forecast period. The total automotive production in the country was valued at 466,649 units in 2018. Major acrylonitrile products such as ABS and SAN, NBR, and carbon fibers are characterized by lightweight, high impact and strength resistance, and excellent insulating properties. Brazil, Ecuador, Chile, Peru, Argentina, and Colombia have been severely affected by the COVID-19 pandemic in the region. The number of coronavirus cases in Brazil crossed 189,000 on May 13, 2020, with approximately more than 13,000 deaths. The number of people affected by COVID-19 is increasing exponentially, which has influenced manufacturers of end-products to close their manufacturing units across the region. This will hinder the growth of the acrylonitrile market in the region during the forecast period.

COVID-19 health states, attributable disability weights and data sources.

Corona virus disease (COVID-19) presents a serious threat to global health. A historical timeline of early molecular diagnostics from government alert (January 22) (D) was presented. After in silico analysis, Brazilian Army Institute of Biology (IBEx-RJ) tested samples in house using real-time reverse transcriptase polymerase chain reaction (RT-PCR) (fast mode) based on Centers for Disease Control and Prevention (CDC) recommendations. First cases from Brazil, Rio de Janeiro, IBEx, and diagnosis team were reported in D36, D44, D66, and D74 respectively. Therefore, after 1300 tests, we recommend N1/N2 primer sets (CDC) for preliminary and Charité protocol confirmation in case of positive results. Moreover, every professional should be tested before starting work, in addition to weekly tests for everyone involved.