Nonlinear Science Against the COVID-19 Pandemic

Overview

Journal Physica D

Date 2021 May 10

PMID 33967364

Citations 2

Authors

Victor M Perez-Garcia

Affiliations

Soon will be listed here.

Abstract

This special issue showcases recent uses of mathematical and nonlinear science methods in the study of different problems arising in the context of the COVID-19 pandemic. The sixteen original research papers included in this collection span a wide spectrum of studies including classical epidemiological models, new models accounting for COVID-19 specificities, non-pharmaceutical control measures, network models and other problems related to the pandemic.

Citing Articles

The changing economic relationship between some of the major COVID-19 impacted countries with prominent wealth: a comparative study from the view point of stock markets.

Samadder S, Ghosh K Eur Phys J Spec Top. 2022; 231(18-20):3505-3535.

PMID: 35789684 PMC: 9244491. DOI: 10.1140/epjs/s11734-022-00616-4.

Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.

Ai H, Nie R, Wang X J Transl Med. 2022; 20(1):170.

PMID: 35410263 PMC: 8995909. DOI: 10.1186/s12967-022-03371-1.

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