These days the spreading of COVID19 is the biggest problem of modern society. Our group has created an app that will help to predict the COVID19 spreading through public transportation and decrease the number of infection cases.
We were inspired by the idea of developing public transportations because they are the most common and popular way of traveling and we aimed to solve the problems that are connected by safety and COVID19. We created an app that allows us to predict the chance of being infected through a bus traveling by the number of people, days and bus cleaning. We used the C# to make a code to this project and the average number of people who use the bus from official info from the app "2GIS".So, we have created the math model of number growth of Covid-19 infected. That model is Y(x)= 1+1,25*x*n +x*m . So, Y is a number of infected people, x- time, n - the average number of people, who are in the bus, m - number of busses.
So, we have created the math model of number growth of Covid-19 infected. That model is Y(x)= 1+1,25*x*n +x*m . So, Y is a number of infected people, x- time, n - the average number of people, who are in the bus, m - number of busses
https://habr.com/ru/post/338992/
https://en.wikipedia.org/wiki/Malthusian_growth_model
https://en.wikipedia.org/wiki/Mathematical_model