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Turkey COVID-19 Timeseries: Social Media Extraction Data
Patient Health Records & Digital Health
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About
Turkey’s official pandemic response is tracked through daily figures published by the Republic of Turkey Ministry of Health on social media. Unlike standard datasets that might include derived columns or inconsistent structures, these records are directly extracted from official Instagram posts using sophisticated image recognition and clustering techniques, such as VGG16 and Self Organising Maps. This approach ensures the information reflects the raw figures provided to the public during the most critical phases of 2020, capturing daily shifts in testing, cases, and recoveries within the unique turquoise-themed visual format used for official announcements.
Columns
- date: The calendar date on which the specific statistics were published, covering the period from the initial outbreak in March through to late November 2020.
- daily_test: The volume of diagnostic tests performed within a single twenty-four-hour period.
- daily_case: The number of individuals who returned a positive test result on that specific day.
- daily_death: The recorded number of fatalities attributed to the virus within the daily window.
- daily_recover: The count of patients who were declared recovered on that date.
- total_test: The cumulative number of diagnostic tests conducted from the start of the outbreak.
- total_case: The aggregate number of positive cases identified since the beginning of the pandemic.
- total_death: The total number of fatalities recorded up to the given date.
- total_recover: The cumulative number of patients who have successfully recovered.
- total_intensive_care: The number of patients requiring intensive medical supervision, a field that later evolved to include metrics such as Pneumonia Ratio and Seriously Ill status.
Distribution
The data is delivered in a CSV format titled
covid19-turkey-data.csv, with a total file size of 24.51 kB. It contains approximately 258 valid records for the date field, demonstrating high integrity with 100% validity for key metrics like total cases. The structure includes up to 19 columns, and while the current file captures a specific 2020 window, the resource is designed for daily updates to reflect ongoing health trends.Usage
These metrics are well-suited for time-series analysis to visualise the various waves of the pandemic in Turkey. Researchers can utilise the raw figures to study the correlation between testing volume and case detection or to model mortality rates over time. It also serves as a practical example for those interested in data extraction from unstructured social media images using neural networks and unsupervised learning.
Coverage
The geographic scope is limited to Turkey, providing national-level statistics. The temporal range specifically covers the period from 11 March 2020 to 23 November 2020. The demographic focus encompasses the entire population as reported by the official government channels, though certain hospitalisation metrics were modified in definition during the reporting period.
License
CC0: Public Domain
Who Can Use It
Epidemiologists can apply these figures to track infection velocity and assess healthcare pressure during the first year of the pandemic. Data scientists may find the extraction methodology useful for developing computer vision models to scrape information from similar government announcements. Additionally, journalists and historians can use these records to provide an evidence-based narrative of Turkey's public health communication strategy.
Dataset Name Suggestions
- Turkey COVID-19 Official Instagram Statistical Registry
- Ministry of Health Turkey: Pandemic Daily Records 2020
- Turkey COVID-19 Timeseries: Social Media Extraction Data
- Official Turkish Pandemic Metrics and Testing Statistics
Attributes
Original Data Source: Turkey COVID-19 Timeseries: Social Media Extraction Data
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