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2019 Novel Coronavirus Time Series Data
Patient Health Records & Digital Health
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About
This product focuses on the initial outbreak data for the novel coronavirus (2019-nCoV), charting the time series of confirmed cases, recovered individuals, and deaths during the critical months of January and February 2020. The outbreak was first reported in Wuhan City, Hubei Province, China, in December 2019, detected initially as "pneumonia of unknown cause." The virus was quickly classified as a novel coronavirus, a betacoronavirus related to SARS and MERS. This dataset allows users to examine the rapid early spread of the virus globally.
Columns
The data file contains 41 columns. Key fields include:
- Row number: Index marker for individual records.
- Province/State: Indicates the specific sub-national region affected (51 unique valid entries).
- Country/Region: Lists the nations and territories where cases were confirmed (29 unique entries), with Mainland China being the most frequent entry.
- First confirmed date in country: The initial confirmation date for a specific region, ranging from early January 2020.
- Lat/Long: Geographical coordinates used to pinpoint locations.
- Date Columns (e.g., 1/21/2020 10:00 PM, 2/7/2020 8:13 PM, etc.): Forty-one columns tracking the cumulative number of confirmed cases reported hourly or daily across the initial period, concluding around early February 2020.
Distribution
The data is provided in CSV format (
coronavirus_conf.csv) and is approximately 10.08 kB in size. It contains 73 records. The time series data was derived from the John Hopkins University Google Sheet tracking confirmed case numbers. Updates for this data source were expected weekly during the period of collection.Usage
This data is suitable for time series analysis and modelling the initial transmission dynamics of the 2019-nCoV virus. It is an excellent resource for Exploratory Data Analysis (EDA), particularly for visualising geographical spread and calculating early growth rates of the epidemic. It can also be used for historical research concerning global health crisis management.
Coverage
The dataset primarily covers the time frame of January and February 2020, documenting the early international spread of the virus. Geographically, it covers 29 countries/regions globally, with specific granularity down to 51 provinces or states. The geographic focus is weighted heavily towards Mainland China.
License
CC0: Public Domain
Who Can Use It
Intended users include:
- Public Health Researchers: For epidemiological studies of initial viral transmission.
- Academic Institutions/Universities: For teaching, modelling, and academic research on disease outbreaks.
- Data Analysts: For creating visualisations and performing exploratory analysis on time-stamped geographical data.
- Governmental Organisations: For historical comparison of disease tracking strategies.
Dataset Name Suggestions
- COVID-19 Initial Global Confirmed Cases (Jan-Feb 2020)
- 2019 Novel Coronavirus Time Series Data
- JHU CCSE Early Coronavirus Tracking
Attributes
Original Data Source: 2019 Novel Coronavirus Time Series Data
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