HMM modelling for the spread of the SARS–CoV–2

Detta är en Master-uppsats från Linköpings universitet/Statistik och maskininlärning

Författare: Martin Beneš; [2021]

Nyckelord: ;

Sammanfattning: The aim of the project is to develop an HMM for the current spread of the SARS–CoV–2 virus. The HMM could be coupled with a SIR+ based compartmental model for the different types of statistics — confirmed cases, hospitalizations, deaths. The confirmed cases should be treated as a random sample from the whole population of infected and the probability of sampling should try to take into account the different testing strategies. The aim of the project would be to compare the spread of the virus in different countries (e.g. Czech Republic, Poland, Sweden, Italy, but other depending on the availability of data are possible) through regional (whenever possible) dynamics. For the thesis publicly available COVID–19 connected data will be used.

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