Epidemic spreading characteristics and immunity measures based on complex network with contact strength and community structure
type: Item
instance of: scholarly article
title: Epidemic spreading characteristics and immunity measures based on complex network with contact strength and community structure
zbMATH Open document ID: 1394.92133
DOI: 10.1155/2015/316092
author: Xueting Zhang
author: Bingfeng Ge
author: Qi Wang
author: Jiang Jiang
author: Hanlin You
author: Yingwu Chen
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Middle East respiratory syndrome (MERS), bursting in South Korea from May 2015 and mainly spreading within the hospitals at the beginning, has caused a large scale of public panic. Aiming at this kind of epidemic spreading swiftly by intimate contact within community structure, we first established a spreading model based on contact strength and SI model, and a weighted network with community structure based on BBV network model. Meanwhile, the sufficient conditions were deduced to ensure the optimal community division. Next, after the verification by the real data of MERS, it is found that the spreading rate is closely related to the average weight of network but not the number of communities. Then, as the further study shows, the final infection proportion declines with the decreases both in isolation delay and in average weight; however, this proportion can only be postponed rather than decreased with respect to sole average weight reduction without isolation. Finally, the opportunities to take action can be found to restrain the epidemic spreading to the most extent.
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 91D30
zbMATH DE Number: 6926045
zbMATH Keywords: Middle East respiratory syndrome
zbMATH Keywords: BBV network model
zbMATH Keywords: SI model
Wikidata QID: Q59117978
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/316092
OpenAlex ID: W2097766777
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description: scientific article; zbMATH DE number 6926045