Coronavirus (COVID-19) In-depth Dataset

Context

Covid-19 Data collected from various sources on the internet. This dataset has daily level information on the number of affected cases, deaths, and recovery from the 2019 novel coronavirus. Please note that this is time-series data and so the number of cases on any given day is the cumulative number.

Content

The dataset includes 28 files scrapped from various data sources mainly the John Hopkins GitHub repository, the ministry of health affairs India, worldometer, and Our World in Data website. The details of the files are as follows

• countries-aggregated.csv
  A simple and cleaned data with 5 columns with self-explanatory names.
  -covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million.csv
  A time-series data of daily test conducted v/s daily new confirmed case per million. Entity column represents Country name while code represents ISO code of the country.
  -covid-contact-tracing.csv
  Data depicting government policies adopted in case of contact tracing. 0 -> No tracing, 1-> limited tracing, 2-> Comprehensive tracing.
  -covid-stringency-index.csv
  The nine metrics used to calculate the Stringency Index are school closures; workplace closures; cancellation of public events; restrictions on public gatherings; closures of public transport; stay-at-home requirements; public information campaigns; restrictions on internal movements; and international travel controls. The index on any given day is calculated as the mean score of the nine metrics, each taking a value between 0 and 100. A higher score indicates a stricter response (i.e. 100 = strictest response).
  -covid-vaccination-doses-per-capita.csv
  A total number of vaccination doses administered per 100 people in the total population. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses).
  -covid-vaccine-willingness-and-people-vaccinated-by-country.csv
  Survey who have not received a COVID vaccine and who are willing vs. unwilling vs. uncertain if they would get a vaccine this week if it was available to them.
  -covid_india.csv
  India specific data containing the total number of active cases, recovered and deaths statewide.
  -cumulative-deaths-and-cases-covid-19.csv
  A cumulative data containing death and daily confirmed cases in the world.
  -current-covid-patients-hospital.csv
  Time series data containing a count of covid patients hospitalized in a country
  -daily-tests-per-thousand-people-smoothed-7-day.csv
  Daily test conducted per 1000 people in a running week average.
  -face-covering-policies-covid.csv
  Countries are grouped into five categories:
  1->No policy
  2->Recommended
  3->Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible
  4->Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible
  5->Required outside the home at all times regardless of location or presence of other people
  -full-list-cumulative-total-tests-per-thousand-map.csv
  Full list of total tests conducted per 1000 people.
  -income-support-covid.csv
  Income support captures if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. 0->No income support, 1->covers less than 50% of lost salary, 2-> covers more than 50% of the lost salary.
  -internal-movement-covid.csv
  Showing government policies in restricting internal movements. Ranges from 0 to 2 where 2 represents the strictest.
  -international-travel-covid.csv
  Showing government policies in restricting international movements. Ranges from 0 to 2 where 2 represents the strictest.
  -people-fully-vaccinated-covid.csv
  Contains the count of fully vaccinated people in different countries.
  -people-vaccinated-covid.csv
  Contains the total count of vaccinated people in different countries.
  -positive-rate-daily-smoothed.csv
  Contains the positivity rate of various countries in a week running average.
  -public-gathering-rules-covid.csv
  Restrictions are given based on the size of public gatherings as follows:
  0->No restrictions
  1 ->Restrictions on very large gatherings (the limit is above 1000 people)
  2 -> gatherings between 100-1000 people
  3 -> gatherings between 10-100 people
  4 -> gatherings of less than 10 people
  -school-closures-covid.csv
  School closure during Covid.
  -share-people-fully-vaccinated-covid.csv
  Share of people that are fully vaccinated.
  -stay-at-home-covid.csv
  Countries are grouped into four categories:
  0->No measures
  1->Recommended not to leave the house
  2->Required to not leave the house with exceptions for daily exercise, grocery shopping, and ‘essential’ trips
  3->Required to not leave the house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)
  -workplace-closures-covid.csv
  Workplace closure during covid. Ranges from 0->3 where 3 represents required for all.

Acknowledgements

-Thomas Hale , Noam Angrist , Rafael Goldszmidt , Beatriz Kira , Anna Petherick , Toby Phillips, Samuel Webster, Emily Cameron-Blake , Laura Hallas, Saptarshi Majumdar, and Helen Tatlow. (2021). “A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker).” Nature Human Behaviour. https://doi.org/10.1038/s41562-021-01079-8
-Johns Hopkins University for making the data available for educational and academic research purposes
-World Health Organization (WHO): https://www.who.int/
-Ministry of Health and Family welfare: https://www.mohfw.gov.in/

Inspiration

The trend of daily new cases.
Geospatial analysis of country-specific hotspots.
Comparison of top countries in vaccination race.
Share of people fully vaccinated.
Government policies during Covid.
Any many more..