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We address the calibration of SEIR-like epidemiological models from daily reports of COVID-19 infections in New York City, during the period 01-Mar-2020 to 22-Aug-2020. Our models account for different types of disease severity, age range, sex and spatial distribution. The manuscript related to such simulations can be found in https://arxiv.org/…
Matlab scripts for the estimation and simulation of the Infection-Game Model (IGM), developed in the submitted paper "Identification and Control of Game-Based Epidemic Models" by Dario Madeo and Chiara Mocenni ({dario.madeo, chiara.mocenni}@unisi.it)
A minimal matlab class to generate SEIR epidemiology models that describe the evolution of susceptible (S), exposed (E), infected (I), and (R) recovered populations. This script can also fit the models to the infection data/agent based modeling to obtain the model parameters and reproduction rate, R0.