Skip to content

Latest commit

 

History

History
40 lines (28 loc) · 1.36 KB

README.md

File metadata and controls

40 lines (28 loc) · 1.36 KB

Asymptomatic Covid-19 Tracking

Background

More than 1/3 of the retirement homes in Sweden report Covid-19, despite having strict visit restrictions and health controls of employees. The objective of this project is to identify asymptomatic Covid-19 carriers among employees in retirement homes quicker and more accurate.

Solution

We find inspration from fraud detection of skimmed credit cards. The analogies are

Credit card fraud Covid tracking
Credit card transactions Patient visits
Fraudulent transactions Infected patients
Skimmed terminals Asymptomatic carriers

Inputs:

  1. Visit logs
  2. Infected risk patients / elderly

Output(s):

  1. Ranking of most probable asymptomatic carriers among caretakers
  2. Probability of future infected patients

Screenshots

Check out the detailed project decription, illustrations and screenshots in the shared pdf here.

Illustration of the search algorithm

Data model from simulations

Next steps & Contributions

  1. Live trials and feedback: We are in need of conducting real searches on real data. Please contact [email protected] if interested.
  2. Algorithm and data model improvements: TBD
  3. Tech improvements: TBD