/covid19_challenge

Part of a report submitted to COVID-19 challenge held on March 2020 by Saudi Data Community

Primary LanguageJupyter Notebook

COVID19 Challenge

A data challenge held by the @DataCommunitySA on March 15th, 2020 to submit a report that utilizes open sourced data of COVID19 and shows valuable extracted information regarding the virus

Among 150+ participants, I was palced the 3rd in a pool of 4 selected winners >> Congratulation tweet in Arabic

Main Report Content -- How Does It Fly?

Time Cycle of the Virus

Contagiuosness Degree

  • The minimum number of people infected by an COVID patient = 1
  • The maximum number of people infected by an COVID patient = 44
  • The average number = 2.27 and that almost similar to the reproductive number of the COVID19

Spread Factors

  • It was assumed that some country-level factors e.g. life expectancy score, epidemics history (ebola, sars, mers-cov), etc. can show a correlation with the current COVID19 number of confirmed cases
  • There was no strong correlation, but a potential correlation
  • For example, life expectancy and population density showed an increasing pattern with the Log number of COVID19 confirmed cases

  • while population age ratio for ages less than 14 showed a negative pattern