A Model Evaluating the Distribution of Infected Citizens Depending on the Characteristics of Local Urban Layout

Student: Meyer Nikita

Educational Programme: Data Science (Master)

Year of Graduation: 2020

COVID-19 infection rate quite significantly differs inside Moscow borders and seem to depends on the district. The districts themselves are also heterogenous and vary on a number of social and economic indicators. This paper explores the correlation of infection rate difference and some features attributed to a structure of a district, such as population density, average residential area of a district inhabitant and the passenger flow of a nearby metro station.

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