Critical Factors of Infection Wavy Curve Oscillation of COVID-19 and Future Predictions in Japan
Received Date: Dec 26, 2022 / Published Date: Jan 27, 2023
Abstract
A novel model based on the macromolecule diffusion theory predicted the oscillation of the number of coronavirus disease 2019 infections. In this model, the diffusion coefficient, which depends on population density, determines the wavy oscillation frequency. The recovery rate of infected individuals determines the wavy amplitude. These two factors are critical factors beyond which the value of the infection phase abruptly changes, such as the phase transition. Therefore, we must ensure that the values remain within the critical values of social and medical preventive measures. The number of new infections was expected to peak around the 200-day serial intervals.
Keywords: Infection wavy curve oscillation; Nonlinear kinetics; Diffusion coefficient; Recovery rate
Citation: Tsuruyama T (2023) Critical Factors of Infection Wavy Curve Oscillation of COVID-19 and Future Predictions in Japan. J Infect Dis Ther 11: 526. Doi: 10.4172/2332-0877.1000526
Copyright: © 2023 Tsuruyama T. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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