Propensity Matrix Method for Age Dependent Stochastic Infectious Disease Models

P. Boldog (), N. Bogya and Z. Vizi
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P. Boldog: Bolyai Institute, University of Szeged
N. Bogya: Bolyai Institute, University of Szeged
Z. Vizi: Bolyai Institute, University of Szeged

A chapter in Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models, 2022, pp 311-325 from Springer

Abstract: Abstract Mathematical modeling is one of the key factors of the effective control of newly found infectious diseases, such as COVID-19. Our knowledge about the parameters and the course of the infection is highly limited in the beginning of the epidemic, hence computer implementation of the models have to be quick and flexible. The propensity matrix method we discuss in this paper serves as a convenient approach to implement age structured stochastic epidemic models. The code base we implemented for our forecasting work is also included in the attached GitHub repository (Vizi, GitHub repository (2021). https://github.com/zsvizi/propensity-matrix-epidemics ).

Date: 2022
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DOI: 10.1007/978-3-031-12515-7_17

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