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Possibility of long-termed prediction of NACPs and NADPs of COVID-19 in different countries and regions via tanh basic functions

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...

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Detalles Bibliográficos
Autores principales: Pei, Lijun, Zhang, Hongyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926199/
https://www.ncbi.nlm.nih.gov/pubmed/33680710
http://dx.doi.org/10.1007/s40435-021-00770-y
Descripción
Sumario: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.