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On automatic calibration of the SIRD epidemiological model for COVID-19 data in Poland

arXiv 2204.12346 ↗First posted 26 Apr 2022stat.ME stat.MLcited by 0

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Abstract (arXiv)

We propose a novel methodology for estimating the epidemiological parameters of a modified SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) and perform a short-term forecast of SARS-CoV-2 virus spread. We mainly focus on forecasting number of deceased. The procedure was tested on reported data for Poland. For some short-time intervals we performed numerical test investigating stability of parameter estimates in the proposed approach. Numerical experiments confirm the effectiveness of short-term forecasts (up to 2 weeks) and stability of the method. To improve their performance (i.e. computation time) GPU architecture was used in computations.

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  1. 2021Deep learning via LSTM models for COVID-19 infection forecasting in Indiacited by 12

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