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COVID-19 in Italy

Coronavirus Disease 2019 cases in Italy (sudalairajkumar/covid19-in-italy)   []

Context

Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19 - WHO

People can catch COVID-19 from others who have the virus. This has been spreading rapidly around the world and Italy is one of the most affected country.

On March 8, 2020 - Italy’s prime minister announced a sweeping coronavirus quarantine early Sunday, restricting the movements of about a quarter of the country’s population in a bid to limit contagions at the epicenter of Europe’s outbreak. - TIME

Content

This dataset is from https://github.com/pcm-dpc/COVID-19 collected by Sito del Dipartimento della Protezione Civile - Emergenza Coronavirus: la risposta nazionale

This dataset has two files

  • covid19_italy_province.csv - Province level data of COVID-19 cases
  • covid_italy_region.csv - Region level data of COVID-19 cases

Acknowledgements

Data is collected by Sito del Dipartimento della Protezione Civile - Emergenza Coronavirus: la risposta nazionale and is uploaded into this github repo.

Dashboard on the data can be seen here. Picture courtesy is from the dashboard.

Inspiration

Insights on * Spread to various regions over time * Try to predict the spread of COVID-19 ahead of time to take preventive measures

Data summary

  • File 'covid19_italy_province.csv'

    • Table ‘covid19 italy province’ consists of 40,201 data rows along 11 dimensions: ‘SNo’, ‘Date’, ‘Country’, ‘RegionCode’, ‘RegionName’, ‘ProvinceCode’, ‘ProvinceName’, ‘ProvinceAbbreviation’, ‘Latitude’, ‘Longitude’ and ‘TotalPositiveCases’

  • File 'covid19_italy_region.csv'

    • Table ‘covid19 italy region’ consists of 6027 data rows along 17 dimensions: ‘SNo’, ‘Date’, ‘Country’, ‘RegionCode’, ‘RegionName’, ‘Latitude’, ‘Longitude’, ‘HospitalizedPatients’, ‘IntensiveCarePatients’, ‘TotalHospitalizedPatients’ and seven other dimensions

Size: 441.3 KB  Source: Kaggle  Last updated: 2022-01-28 14:54

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Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.