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Data
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  • Web scraping
  • Social Media
Cleaning
All data is cleaned, adjusted for nomenclature and combined into one set
Enrichement
ML models used of extrapolation on missing values
Output
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COVID-19 Country Factors

Analyzing how different factors could influence the country's impact of Covid-19 in the world

Population Age

Covid-19 presents a higher Case Fatality for older people, this is how it correlates at a country level

Urban Concentration

Covid-19 presents a higher chance of spreading in highly densified areas, hence the urban concentration could play a role

Urban x Age

By combining population age and urban concentration, we see the following correlation with Covid-19 deaths per capita

Country data

Country Deaths per 1m Median Age Urban Population (%)
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