Mathematical Modeling and the Use of Network Models as Epidemiological Tools
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 hav...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/18/3347 |
| _version_ | 1827659133544824832 |
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| author | Javier Cifuentes-Faura Ursula Faura-Martínez Matilde Lafuente-Lechuga |
| author_facet | Javier Cifuentes-Faura Ursula Faura-Martínez Matilde Lafuente-Lechuga |
| author_sort | Javier Cifuentes-Faura |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:15:17Z |
| format | Article |
| id | doaj.art-1251ffeff0e34c83a1fd7a9f10b1a1aa |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:15:17Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-1251ffeff0e34c83a1fd7a9f10b1a1aa2023-11-23T17:37:11ZengMDPI AGMathematics2227-73902022-09-011018334710.3390/math10183347Mathematical Modeling and the Use of Network Models as Epidemiological ToolsJavier Cifuentes-Faura0Ursula Faura-Martínez1Matilde Lafuente-Lechuga2Faculty of Economics and Business, University of Murcia, 30100 Murcia, SpainFaculty of Economics and Business, University of Murcia, 30100 Murcia, SpainFaculty of Economics and Business, University of Murcia, 30100 Murcia, SpainMathematical 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.https://www.mdpi.com/2227-7390/10/18/3347mathematical modelingepidemiological network modelspandemicreviewCOVID-19 |
| spellingShingle | Javier Cifuentes-Faura Ursula Faura-Martínez Matilde Lafuente-Lechuga Mathematical Modeling and the Use of Network Models as Epidemiological Tools Mathematics mathematical modeling epidemiological network models pandemic review COVID-19 |
| title | Mathematical Modeling and the Use of Network Models as Epidemiological Tools |
| title_full | Mathematical Modeling and the Use of Network Models as Epidemiological Tools |
| title_fullStr | Mathematical Modeling and the Use of Network Models as Epidemiological Tools |
| title_full_unstemmed | Mathematical Modeling and the Use of Network Models as Epidemiological Tools |
| title_short | Mathematical Modeling and the Use of Network Models as Epidemiological Tools |
| title_sort | mathematical modeling and the use of network models as epidemiological tools |
| topic | mathematical modeling epidemiological network models pandemic review COVID-19 |
| url | https://www.mdpi.com/2227-7390/10/18/3347 |
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