New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet
Year: 2024
Type: article
Abstract: This paper presents a critical analysis of the literature and perspective research ideas for modeling the epidemics caused by the SARS-CoV-2 virus. It goes beyond deterministic population dynamics to consider several key complexity features of the system under consideration. In particular, the multiscale features of the dynamics from contagion to the subsequent dynamics of competition between the immune system and the proliferating virus. Other topics addressed in this work include the propagation of epidemics in a territory, taking into account local transportation networks, the heterogeneity of the population and the study of social and economic problems in populations involved in the spread of epidemics. The overall content aims to show how new mathematical tools can be developed to address the above topics and how mathematical models and simulations can contribute to the decision making of crisis managers.
Institutions: University of Ferrara, University of Parma, University of Perugia, Centre National de la Recherche Scientifique, Laboratoire de Mathématiques de Besançon, Université de Franche-Comté, Heriot-Watt University, Maxwell Institute for Mathematical Sciences, University of Pavia, Istituto di Matematica Applicata e Tecnologie Informatiche
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Funders: Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Centre National de la Recherche Scientifique, Università degli Studi di Ferrara, Gruppo Nazionale per il Calcolo Scientifico, Gruppo Nazionale per la Fisica Matematica, HORIZON EUROPE Framework Programme, Division of Mathematical Sciences
OpenAlex ID: W4394959963