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COVID-19 Timeseries and Geospatial Tracker
Patient Health Records & Digital Health
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About
Provides detailed minute-level timeseries data focusing on the 2019 Novel Coronavirus (2019-nCoV) outbreak. The original virus was first identified in Wuhan, China, causing a respiratory illness. The dataset incorporates precise geo-coordinates (latitude and longitude) for reporting locations globally, enabling analysts to track the outbreak trend more granularly and accurately than is possible with typical daily reports. Key metrics tracked include confirmed cases, fatalities, and recovered patients.
Columns
- province: A string indicating the reported provinces or areas. This field is only populated if cases have been reported in that location.
- country: The common name of the country associated with the report.
- latitude: The geographical latitude data for the reporting country.
- longitude: The geographical longitude data for the reporting country.
- confirmed_cases: An integer representing the total count of confirmed cases at the specified reporting time.
- deaths: An integer representing the number of deaths recorded at the specified reporting time.
- recovered: An integer representing the number of recovered patients at the specified reporting time.
- update_time: The exact reporting timestamp, provided in CST timezone.
- data_source: A string detailing the original raw data sources, which include DXY and bno.
- country_code: A standardized string for the country code.
- region: A string specifying the country's geographic region (e.g., Asia, Europe).
- country_flag: A string containing the URL for the corresponding country flag image.
Distribution
The data is available in CSV file format. It consists of minute-level timeseries reporting. The time window for data collection is approximately 0.5 hours, though there may be some gaps in reporting during early morning hours. Most core metrics maintain roughly 24.8 thousand valid records. The dataset is labelled as version 0.0.12, having been updated on 13 March 2020. The expected update frequency is daily.
Usage
This product is ideal for capturing detailed outbreak trends and performing acute trend analysis. It is suitable for geospatial analysis, allowing users to map the spread of the virus across global locations. It can also be leveraged to compare the progression of the 2019-nCoV outbreak against previous historical coronavirus events, such as SARS and MERS.
Coverage
The data covers a date range beginning on 22 January 2020 and running through 11 March 2020, and was actively being updated at the time of the source creation. Geographically, it covers worldwide impacted areas, with specific attention paid to The Greater China Area (including Mainland China, Hong Kong, Macau, and Taiwan). Reporting locations span multiple geographic regions globally.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To model and understand minute-level transmission rates and geographical spread.
- Data Scientists/Analysts: For time series forecasting and advanced geospatial visualisations of the pandemic.
- Epidemiologists: To derive key insights regarding case fatality rates and recovery patterns in different regions.
Dataset Name Suggestions
- COVID-19 Timeseries and Geospatial Tracker
- Minute-Level 2019 Novel Coronavirus Outbreak Data
- Global Geospatial Timeseries Health Data
Attributes
Original Data Source: COVID-19 Timeseries and Geospatial Tracker
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