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Early COVID-19 Data Credibility and Reporting Index
Patient Health Records & Digital Health
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About
Tracking the credibility of early COVID-19 statistics is essential for understanding how reporting standards influenced global perceptions of the pandemic. This collection highlights discrepancies in confirmed patient figures, specifically flagging instances where nations altered their data reporting criteria, denoted by specific markers within the records. By identifying where confirmed case data might be unreliable or subject to revision, the resource provides a critical foundation for assessing the true nature of the nCoV outbreak during its initial international spread.
Columns
- no: A numeric identifier for each specific record in the registry.
- date: The calendar date of the report, capturing daily entries from late February to mid-March 2020.
- contury: The name of the country providing the infection statistics, including specific focus on regions like Japan and Korea.
- confirm: The total count of confirmed patients; certain entries are marked to indicate that the underlying data standard has been damaged or changed.
- changed: A field indicating whether the national standard for defining a "confirmed" patient was modified at the time of the report.
Distribution
The information is delivered in a CSV file titled
covid_tracking_table.csv with a compact file size of 16.36 kB. It consists of 603 valid records structured across five columns. The dataset maintains a perfect usability score of 10.00, with 100% validity across most core fields and zero mismatched entries. This is a static archive, and no further updates are expected.Usage
This resource is ideal for retrospective analysis of pandemic reporting integrity and advanced data cleaning projects. It can be used to study the volatility of global health statistics or to build models that account for reporting biases in early infection data. Analysts can also utilise the records to cross-reference with other COVID-19 databases to determine the impact of changing governmental data standards on perceived infection curves.
Coverage
The geographic scope includes major nations and various other territories, with specific highlights for Japan and Korea. Temporally, the records focus on the critical early window of the global crisis, spanning from 23 February 2020 to 17 March 2020. The scope is primarily focused on the "confirmed" status of patients as reported by national health authorities during this specific three-week period.
License
CC0: Public Domain
Who Can Use It
Public health researchers can leverage these figures to evaluate the reliability of early outbreak statistics and the effect of shifting case definitions. Data scientists can use the "tricky" nature of these records to practice sophisticated data cleaning and integrity verification techniques. Additionally, academic historians may find the markers of changed data standards useful for contextualising the early political and medical responses to the coronavirus.
Dataset Name Suggestions
- Early COVID-19 Data Credibility and Reporting Index
- nCoV Confirmed Patient Integrity Tracker: Feb-Mar 2020
- Global COVID-19 Reporting Standards and Discrepancy Log
- Historical nCoV Data Accuracy Registry
- Early Pandemic Case Count Credibility Archive
Attributes
Original Data Source: Early COVID-19 Data Credibility and Reporting Index
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