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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.08430 |
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| _version_ | 1866918430220746752 |
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| author | Caiza, José I. Qin, Junjie Paré, Philip E. |
| author_facet | Caiza, José I. Qin, Junjie Paré, Philip E. |
| contents | In this paper, we propose an SIR spread model in a population network coupled with an infrastructure network that has a pathogen spreading in it. We develop a threshold condition to characterize the monotonicity and peak time of a weighted average of the infection states in terms of the global (network-wide) effective reproduction number. We further define the distributed reproduction numbers (DRNs) of each node in the multilayer network which are used to provide local threshold conditions for the dynamical behavior of each entity. Furthermore, we leverage the DRNs to predict the global behavior based on the node-level assumptions. We use both analytical and simulation results to illustrate that the DRNs allow a more accurate analysis of the networked spreading process than the global effective reproduction number. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08430 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Global and Distributed Reproduction Numbers of a Multilayer SIR Model with an Infrastructure Network Caiza, José I. Qin, Junjie Paré, Philip E. Systems and Control In this paper, we propose an SIR spread model in a population network coupled with an infrastructure network that has a pathogen spreading in it. We develop a threshold condition to characterize the monotonicity and peak time of a weighted average of the infection states in terms of the global (network-wide) effective reproduction number. We further define the distributed reproduction numbers (DRNs) of each node in the multilayer network which are used to provide local threshold conditions for the dynamical behavior of each entity. Furthermore, we leverage the DRNs to predict the global behavior based on the node-level assumptions. We use both analytical and simulation results to illustrate that the DRNs allow a more accurate analysis of the networked spreading process than the global effective reproduction number. |
| title | Global and Distributed Reproduction Numbers of a Multilayer SIR Model with an Infrastructure Network |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2409.08430 |