Epidemic spreading with immunization rate on complex networks
Shinji Tanimoto

TL;DR
This paper analyzes how immunization strategies affect epidemic spreading on complex networks, especially scale-free networks, highlighting the importance of immunization rate and network directionality.
Contribution
It provides epidemic thresholds for SIR and SIS models considering imperfect and targeted immunization in directed complex networks.
Findings
Targeted immunization is effective only at full immunization rate in scale-free networks.
Epidemic thresholds are derived for directed networks, applicable also to undirected networks.
Immunization strategies significantly influence epidemic control effectiveness.
Abstract
We investigate the spread of diseases, computer viruses or information on complex networks and also immunization strategies to prevent or control the spread. When an entire population cannot be immunized and the effect of immunization is not perfect, we need the targeted immunization with immunization rate. Under such a circumstance we calculate epidemic thresholds for the SIR and SIS epidemic models. It is shown that, in scale-free networks, the targeted immunization is effective only if the immunization rate is equal to one. We analyze here epidemic spreading on directed complex networks, but similar results are also valid for undirected ones.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · COVID-19 epidemiological studies
