Possibility of long-termed prediction of NACPs and NADPs of COVID-19 in different countries and regions via tanh basic functions
| Autor: | Hongyang Zhang, Lijun Pei |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
2019-20 coronavirus outbreak Control and Optimization Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 34K20 02 engineering and technology Plateau (mathematics) 01 natural sciences Article Plateau phase 020901 industrial engineering & automation Simple (abstract algebra) 0103 physical sciences Applied mathematics Electrical and Electronic Engineering 34K18 010301 acoustics NACP Civil and Structural Engineering Mathematics Small data Mechanical Engineering Hyperbolic function COVID-19 37G05 34K27 Control and Systems Engineering Modeling and Simulation Long-termed prediction NADP |
| Zdroj: | International Journal of Dynamics and Control |
| ISSN: | 2195-2698 |
| Popis: | In this paper, we make long-termed prediction for numbers of accumulative confirmed patients (NACPs) and numbers of accumulative death patients (NADPs) of COVID-19 in different countries and regions by fitting method. We use hyperbolic tangent functions as basic functions for the fitting method. The results indicate that it is possible to make long-termed prediction for NACPs and NADPs of COVID-19 by using a small amount of data. And we can estimate the arrival times of the plateau phases of COVID-19 in some countries and regions. It shows that our method is simple (model-free) and very effective in long-termed prediction of NACPs and NADPs with small data. |
| Databáze: | OpenAIRE |
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