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Time-Series Coronavirus Spread Data for Rio City
Patient Health Records & Digital Health
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About
Information detailing the spread of Coronavirus disease (COVID-19) within the city of Rio de Janeiro, Brazil. This infectious disease is caused by a newly discovered coronavirus (2019-nCoV). The data is important for being well informed about the virus and how it spreads, which is the best way to aid prevention and slow down transmission. The content provides metrics on confirmed cases, deaths, and recoveries, broken down by specific neighbourhood, allowing for fine-grained analysis of the epidemic's impact on the urban environment. This is time-series data where the numbers reported are cumulative. The count of new cases, deaths, or recoveries for any given day must be calculated by finding the difference between the current day’s figure and the previous day’s figure.
Columns
The dataset contains six fields, with approximately 37.3k valid records:
- Date: Report Date, covering the daily progression of the metrics. Dates range from 21 April 2020 up to 7 December 2020.
- Hour: Report Hour, recorded as a DateTime Count, which appears highly consistent across most records.
- Neighborhood: Identifies the specific neighbourhood within Rio. There are 164 unique values recorded, with ACARI being the most frequently appearing neighbourhood.
- Cases: The cumulative Number of Confirmed Cases. Values range from 0 up to 9,502.
- Deaths: The cumulative Number of Deaths attributed to COVID-19. Values range from -1 up to 784.
- Recovered: The cumulative Number of Recoveries. Values range from 0 up to 6,478.
Distribution
The data file is named
rio_covid19_kaggle.csv and has a size of 1.55 MB. It is structured as time-series data suitable for sequential analysis. The expected update frequency for this information is daily.Usage
This data product is suited for applications requiring localised temporal tracking of the disease outbreak. Ideal use cases include:
- Analysing changes in the number of confirmed cases, deaths, and recoveries across different neighbourhoods over time.
- Tracking the overall spread and intensity of the disease throughout the city.
- Studying changes in key metrics at the city level.
Coverage
The geographic scope focuses exclusively on the city of Rio de Janeiro, Brazil, providing detail down to the neighbourhood level. The time range covered starts on 21 April 2020 and runs until 7 December 2020.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists, epidemiologists, public health officials, and academic researchers. It is particularly valuable for those developing models for disease control, informing local government policy, and conducting historical analysis of urban public health crises.
Dataset Name Suggestions
- Rio de Janeiro Neighbourhood COVID-19 Metrics (2020)
- Time-Series Coronavirus Spread Data for Rio City
- COVID-19 Cases, Deaths, and Recoveries in Rio de Janeiro
Attributes
Original Data Source: Time-Series Coronavirus Spread Data for Rio City
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