Projected Spread Models
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909446758727680 |
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| author | Ban, Jung-Chao Hong, Jyy-I Tsai, Cheng-Yu Wu, Yu-Liang |
| author_facet | Ban, Jung-Chao Hong, Jyy-I Tsai, Cheng-Yu Wu, Yu-Liang |
| contents | We present a disease transmission model that considers both explicit and non-explicit factors. This approach is crucial for accurate prediction and control of infectious disease spread. In this paper, we extend the spread model from our previous works \cite{ban2021mathematical,ban2023randomspread, ban2023mathematical, ban2023spread} to a projected spread model that considers both hidden and explicit types. Additionally, we provide the spread rate for the projected spread model corresponding to the topological and random models. Furthermore, examples and numerical results are provided to illustrate the theory. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_01091 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Projected Spread Models Ban, Jung-Chao Hong, Jyy-I Tsai, Cheng-Yu Wu, Yu-Liang Dynamical Systems Probability We present a disease transmission model that considers both explicit and non-explicit factors. This approach is crucial for accurate prediction and control of infectious disease spread. In this paper, we extend the spread model from our previous works \cite{ban2021mathematical,ban2023randomspread, ban2023mathematical, ban2023spread} to a projected spread model that considers both hidden and explicit types. Additionally, we provide the spread rate for the projected spread model corresponding to the topological and random models. Furthermore, examples and numerical results are provided to illustrate the theory. |
| title | Projected Spread Models |
| topic | Dynamical Systems Probability |
| url | https://arxiv.org/abs/2501.01091 |