Covid-19 : the menace to the global community in an era when homosapiense is boasting its technological superiority. I also joined the league of those researchers who are on a mission to find some insight that might help the global community to face the menace the better way scientifically.
Live and historical data available in public domain on Covid-19 of the United Kingdom and Egypt are explored.
Dataset is collected from Joachim Gassen’s Github-repository
The data is updated on a daily basis.
To know about covid-19 click here
| var_name | var_def |
|---|---|
| iso3c | ISO3c country code as defined by ISO 3166-1 alpha-3 |
| country | Country name |
| date | Calendar date |
| confirmed | Confirmed Covid-19 cases as reported by JHU CSSE (accumulated) |
| deaths | Covid-19-related deaths as reported by JHU CSSE (accumulated) |
| recovered | Covid-19 recoveries as reported by JHU CSSE (accumulated) |
| ecdc_cases | Covid-19 cases as reported by ECDC (accumulated, weekly post 2020-12-14) |
| ecdc_deaths | Covid-19-related deaths as reported by ECDC (accumulated, weekly post 2020-12-14) |
| total_tests | Accumulated test counts as reported by Our World in Data |
| tests_units | Definition of what constitutes a ‘test’ |
| positive_rate | The share of COVID-19 tests that are positive, given as a rolling 7-day average |
| hosp_patients | Number of COVID-19 patients in hospital on a given day |
| icu_patients | Number of COVID-19 patients in intensive care units (ICUs) on a given day |
| total_vaccinations | Total number of COVID-19 vaccination doses administered |
| soc_dist | Number of social distancing measures reported up to date by ACAPS, net of lifted restrictions |
| mov_rest | Number of movement restrictions reported up to date by ACAPS, net of lifted restrictions |
| pub_health | Number of public health measures reported up to date by ACAPS, net of lifted restrictions |
| gov_soc_econ | Number of social and economic measures reported up to date by ACAPS, net of lifted restrictions |
| lockdown | Number of lockdown measures reported up to date by ACAPS, net of lifted restrictions |
| apple_mtr_driving | Apple Maps usage for driving directions, as percentage*100 relative to the baseline of Jan 13, 2020 |
| apple_mtr_walking | Apple Maps usage for walking directions, as percentage*100 relative to the baseline of Jan 13, 2020 |
| apple_mtr_transit | Apple Maps usage for public transit directions, as percentage*100 relative to the baseline of Jan 13, 2020 |
| gcmr_retail_recreation | Google Community Mobility Reports data for the frequency that people visit retail and recreation places expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gcmr_grocery_pharmacy | Google Community Mobility Reports data for the frequency that people visit grocery stores and pharmacies expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gcmr_parks | Google Community Mobility Reports data for the frequency that people visit parks expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gcmr_transit_stations | Google Community Mobility Reports data for the frequency that people visit transit stations expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gcmr_workplaces | Google Community Mobility Reports data for the frequency that people visit workplaces expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gcmr_residential | Google Community Mobility Reports data for the frequency that people visit residential places expressed as a percentage*100 change relative to the baseline period Jan 3 - Feb 6, 2020 |
| gtrends_score | Google search volume for the term ‘coronavirus’, relative across time with the country maximum scaled to 100 |
| gtrends_country_score | Country-level Google search volume for the term ‘coronavirus’ over a period starting Jan 1, 2020, relative across countries with the country having the highest search volume scaled to 100 (time-stable) |
| region | Country region as classified by the World Bank (time-stable) |
| income | Country income group as classified by the World Bank (time-stable) |
| population | Country population as reported by the World Bank (original identifier ‘SP.POP.TOTL’, time-stable) |
| land_area_skm | Country land mass in square kilometers as reported by the World Bank (original identifier ‘AG.LND.TOTL.K2’, time-stable) |
| pop_density | Country population density as reported by the World Bank (original identifier ‘EN.POP.DNST’, time-stable) |
| pop_largest_city | Population in the largest metropolian area of the country as reported by the World Bank (original identifier ‘EN.URB.LCTY’, time-stable) |
| life_expectancy | Average life expectancy at birth of country citizens in years as reported by the World Bank (original identifier ‘SP.DYN.LE00.IN’, time-stable) |
| gdp_capita | Country gross domestic product per capita, measured in 2010 US-$ as reported by the World Bank (original identifier ‘NY.GDP.PCAP.KD’, time-stable) |
| timestamp | Date and time where data has been collected from authoritative sources |