Abstract
AbstractWe investigate the problem of mathematical modeling of new corona virus (COVID-19) in Poland and tries to predict the upcoming wave. A Gaussian mixture model is proposed to characterize the COVID-19 disease and to predict a new / future wave of COVID-19. This prediction is very much needed to prepare for medical setup and continue with the upcoming program. Specifically, data related to the new confirmed cases of COVID-19 per day are considered, and then we attempt to predict the data and statistical activity. A close match between actual data and analytical data by using the Gaussian mixture model shows that it is a suitable model to present new cases of COVID-19. In addition, it is thought that there are N waves of COVID-19 and that information for each future wave is also present in current and previous waves as well. Using this concept, predictions of a future wave can be made.
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering
Reference33 articles.
1. Adamczyk K, Herman M, Fraczek J, Piec R, Szykula-Piec B, Zaczynski A, Franek E (2020) Sensitivity and specifity of prediction models based on gustatory disorders in diagnosing COVID-19 patients: a case-control study. medRxiv. 2:196
2. Arti MK (2020) A New Model and Relay Based Study for the Spread of COVID19. https://www.researchgate.net/publication/340947675
3. Arti MK, Kushagra B (2020) Modeling and predictions for COVID 19 spread in India. Science 10:169. https://doi.org/10.13140/RG.2.2.11427.81444
4. Banerjee S (2020) Travelling and COVID-19: a mathematical model. Science 2:10
5. Bhardwaj R, Agrawal A (2021) Analysis of second wave of COVID-19 in different countries. Trans Indian Natl Acad Eng 92:1–7
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献