Mathematical Modeling and the Use of Network Models as Epidemiological Tools

Javier Cifuentes-Faura (), Ursula Faura-Martínez and Matilde Lafuente-Lechuga
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Javier Cifuentes-Faura: Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
Ursula Faura-Martínez: Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
Matilde Lafuente-Lechuga: Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
Authors registered in the RePEc Author Service: Úrsula Faura Martínez

Mathematics, 2022, vol. 10, issue 18, 1-14

Abstract: Mathematical modeling has served as an epidemiological tool to enhance the modeling efforts of the social and economic impacts of the pandemic. This article reviews epidemiological network models, which are conceived as a flexible way of representing objects and their relationships. Many studies have used these models over the years, and they have also been used to explain COVID-19. Based on the information provided by the Web of Science database, exploratory, descriptive research based on the techniques and tools of bibliometric analysis of scientific production on epidemiological network models was carried out. The epidemiological models used in the papers are diverse, highlighting those using the SIS (Susceptible-Infected-Susceptible), SIR (Susceptible-Infected-Recovered) and SEIR (Susceptible-Exposed-Infected-Removed) models. No model can perfectly predict the future, but they provide a sufficiently accurate approximation for policy makers to determine the actions needed to curb the pandemic. This review will allow any researcher or specialist in epidemiological modeling to know the evolution and development of related work on this topic.

Keywords: mathematical modeling; epidemiological network models; pandemic; review; COVID-19 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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