Inspiration
Analyzing the how the infection have spread in various part of the world, and comparing it to how people if these countries behave. I have compiled a large list of possible parameters that might affect how the infection is spreading. Comparing these parameters to different countries have allowed me to better understand the virus, without having the actual R0 value of the virus.
What it does
A simulator that predicts possible outcomes depending on parameters.
How I built it
I haven't, I am using math and physics to calculate patterns, then trying to correlate to various parameters such as infection rate, death toll, test reliability, population density, family size etc.
Challenges I ran into
Proper information on government decisions and information on amount of test done, and how the tests been prioritized.
Accomplishments that I'm proud of
Using these model I could predict that the first districts to be hit in Stockholm would be Rinkeby/Kista - and it worked. Before the infection came to Sweden.
What I learned
That the rate of infection grows exponentially indoors, and other important factors.
What's next for Controlled Herd Immunity
Hopefully using ML-models to analyze the date.
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