• Data available on WHO site needs proper graphical representation, in order to gather the situation static and dynamic for data visualization

Present graphial representation of WHO data related to COVID-19 vs Influenza - similarities and differences.

Both cause respiratory diseases and there are important differences between two viruses and how they spread.

https://www.who.int/data/gho/info/athena-api

https://covid19.who.int/

reference to graphs

Current world health and socio-ecomonic scenario drives lot of us to evaluate/correlate and finding patterns across the globe, that could be leveraged for now and in the future to handle the situation effectively.

• number of fatalities with covid v/s without covid - Siraj
• fatalities with covid v/s top non covid. - Alan
• fatalities rate over time, related to covid. - Atul
• fatalities over geographical location - Chad/Siraj
• fatalities v/s age group - Ganga/
• fatalities v/s poverty. Atul/Alan

• mongo/mysql DB
• library/reuse code/may be OO
• graphical represntation
• final presentation

• Presentation - Chad

• MangoDB / Flask - Siraj

  • Load Json files into MongoDB database - done
  • Create Flask app - python
  • Data injection

  Frontend -- Alan, Atul, Ganga

  • HTML page (bootstrap)
  • Java script
  • Static page + js

GUI Output:

• Project info + description

• 3 graphs - interative / 3 tabs

  • Time vs Death rate per million ( x = date, y = death rate )
  • Time vs Number of cases per million ( x = date, y = cases per million )
  • Time v/s stringency
  • Pre existing condition vs Death rate ???? vs ????

• Conclution