On evolution model for SARS-Cov-2-infected population: the case of New Zealand

Estate Khmaladze and Giorgi Kvizhinadze

Journal of Applied Statistics, 2023, vol. 50, issue 11-12, 2435-2449

Abstract: The work proposes a mathematical model of the process of COVID-19 epidemic as it evolved in New Zealand. The model uses a system of differential equations which emanate from natural assumptions on some probability measure and evolution of this measure on evolving family of simplexes. The authors tried to create the model which, at one hand, is simple and easy to follow. and, at the other hand, reflects the observed epidemic process correctly. The practical aim was to come to justifiable estimations of important parameters like the rate of infection as function of time, thus quantifying effectiveness of the Government measures. Another parameters estimated were the probability distribution of detection times and recovery times.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:50:y:2023:i:11-12:p:2435-2449

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DOI: 10.1080/02664763.2021.2006153

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