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IMPACT OF VARYING COMMUNITY NETWORKS ON DISEASE INVASION.

Authors :
KIRKLAND, STEPHEN
ZHISHENG SHUAI
VAN DEN DRIESSCHE, P.
XUEYING WANG
Source :
SIAM Journal on Applied Mathematics. 2021, Vol. 81 Issue 3, p1166-1189. 24p.
Publication Year :
2021

Abstract

We consider the spread of an infectious disease in a heterogeneous environment modeled as a network of patches. We focus on the invasibility of the disease, as quantified by the corresponding value of an approximation to the network basic reproduction number, R0, and study how changes in the network structure affect the value of R0. We provide a detailed analysis for two model networks, a star and a path, and discuss the changes to the corresponding network structure that yield the largest decrease in R0. We develop both combinatorial and matrix analytic techniques, and we illustrate our theoretical results by simulations with the exact R0. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00361399
Volume :
81
Issue :
3
Database :
Academic Search Index
Journal :
SIAM Journal on Applied Mathematics
Publication Type :
Academic Journal
Accession number :
151358550
Full Text :
https://doi.org/10.1137/20M1328762