Epidemic Modeling and Flattening the Infection Curve in Social Networks
The main goal of this paper is to model the epidemic and flattening the infection curve of the social networks. Flattening the infection curve implies slowing down the spread of the disease and reducing the infection rate via social-distancing, isolation (quarantine) and vaccination. The nan-pharmac...
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Semnan University
2024-04-01
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| Series: | مجله مدل سازی در مهندسی |
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| Online Access: | https://modelling.semnan.ac.ir/article_8363_96f4c065080645a5bca1bbfa69b0bb05.pdf |
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| author | Mohammadreza Doostmohammadian Soraya Doustmohamadian Najmeh Doostmohammadian Azam Doustmohammadian Houman Zarrabi Hamid R. Rabiee |
| author_facet | Mohammadreza Doostmohammadian Soraya Doustmohamadian Najmeh Doostmohammadian Azam Doustmohammadian Houman Zarrabi Hamid R. Rabiee |
| author_sort | Mohammadreza Doostmohammadian |
| collection | DOAJ |
| description | The main goal of this paper is to model the epidemic and flattening the infection curve of the social networks. Flattening the infection curve implies slowing down the spread of the disease and reducing the infection rate via social-distancing, isolation (quarantine) and vaccination. The nan-pharmaceutical methods are a much simpler and efficient way to control the spread of epidemic and infection rate. By specifying a target group with high centrality for isolation and quarantine one can reach a much flatter infection curve (related to Corona for example) without adding extra costs to health services. The aim of this research is, first, modeling the epidemic and, then, giving strategies and structural algorithms for targeted vaccination or targeted non-pharmaceutical methods for reducing the peak of the viral disease and flattening the infection curve. These methods are more efficient for nan-pharmaceutical interventions as finding the target quarantine group flattens the infection curve much easier. For this purpose, a few number of particular nodes with high centrality are isolated and the infection curve is analyzed. Our research shows meaningful results for flattening the infection curve only by isolating a few number of targeted nodes in the social network. The proposed methods are independent of the type of the disease and are effective for any viral disease, e.g., Covid-19.. |
| format | Article |
| id | doaj-art-8e0d423cb04f40c78f6f1cc0bdaeaadd |
| institution | Kabale University |
| issn | 2008-4854 2783-2538 |
| language | fas |
| publishDate | 2024-04-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj-art-8e0d423cb04f40c78f6f1cc0bdaeaadd2025-01-15T08:14:58ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382024-04-01227615516510.22075/jme.2023.30259.24258363Epidemic Modeling and Flattening the Infection Curve in Social NetworksMohammadreza Doostmohammadian0Soraya Doustmohamadian1Najmeh Doostmohammadian2Azam Doustmohammadian3Houman Zarrabi4Hamid R. Rabiee5Assistant Professor, Faculty of Mechanical Engineering, Semnan University, Semnan, IranAssistant Professor, Semnan University of Medical Sciences, Semnan, IranAssistant Professor, Semnan University of Medical Sciences, Semnan, IranAssistant Professor, Gastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, IranAssistant Professor, Iran Telecom Research Center (ITRC), Tehran, IranProfessor, Faculty of Computer Engineering, Sharif University of Technology, Tehran, iranThe main goal of this paper is to model the epidemic and flattening the infection curve of the social networks. Flattening the infection curve implies slowing down the spread of the disease and reducing the infection rate via social-distancing, isolation (quarantine) and vaccination. The nan-pharmaceutical methods are a much simpler and efficient way to control the spread of epidemic and infection rate. By specifying a target group with high centrality for isolation and quarantine one can reach a much flatter infection curve (related to Corona for example) without adding extra costs to health services. The aim of this research is, first, modeling the epidemic and, then, giving strategies and structural algorithms for targeted vaccination or targeted non-pharmaceutical methods for reducing the peak of the viral disease and flattening the infection curve. These methods are more efficient for nan-pharmaceutical interventions as finding the target quarantine group flattens the infection curve much easier. For this purpose, a few number of particular nodes with high centrality are isolated and the infection curve is analyzed. Our research shows meaningful results for flattening the infection curve only by isolating a few number of targeted nodes in the social network. The proposed methods are independent of the type of the disease and are effective for any viral disease, e.g., Covid-19..https://modelling.semnan.ac.ir/article_8363_96f4c065080645a5bca1bbfa69b0bb05.pdfepidemicflattening the infection curvesocial networksgraph theory |
| spellingShingle | Mohammadreza Doostmohammadian Soraya Doustmohamadian Najmeh Doostmohammadian Azam Doustmohammadian Houman Zarrabi Hamid R. Rabiee Epidemic Modeling and Flattening the Infection Curve in Social Networks مجله مدل سازی در مهندسی epidemic flattening the infection curve social networks graph theory |
| title | Epidemic Modeling and Flattening the Infection Curve in Social Networks |
| title_full | Epidemic Modeling and Flattening the Infection Curve in Social Networks |
| title_fullStr | Epidemic Modeling and Flattening the Infection Curve in Social Networks |
| title_full_unstemmed | Epidemic Modeling and Flattening the Infection Curve in Social Networks |
| title_short | Epidemic Modeling and Flattening the Infection Curve in Social Networks |
| title_sort | epidemic modeling and flattening the infection curve in social networks |
| topic | epidemic flattening the infection curve social networks graph theory |
| url | https://modelling.semnan.ac.ir/article_8363_96f4c065080645a5bca1bbfa69b0bb05.pdf |
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