History of epidemic models and their application to Covid-19 data
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The history of infectious diseases has always been important to us due to their impact on humanity. Infectious diseases lead to the emergence of epidemiological models that were essential to understand and find answers to end an epidemic. Since as early as 1760 human diseases were analyzed using so-called epidemiological models. The main objectives of this thesis are (i) to examine and review the history of these epidemiological models and (ii) to discuss the parameters which can be derived from them such as the reproduction number. In particular, I focus on the SIR model to understand qualitative features of the spread of the disease in specific cases, namely in Norway and the UK. I implement the SIR model as proposed in the paper “Estimation of Time-Dependent Reproduction Number for Global COVID-19 Outbreak” authors Petrova, T.; Soshnikov D.; Grunin A , additionally exploring the effect of the recovery rate. Finally, I compare the results.