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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rossella Della, Marca | - |
dc.contributor.author | Nadia, Loy | - |
dc.contributor.author | Andrea, Tosin | - |
dc.date.accessioned | 2023-04-04T09:02:43Z | - |
dc.date.available | 2023-04-04T09:02:43Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s00285-023-01901-z | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7508 | - |
dc.description | CC BY | vi |
dc.description.abstract | The viral load is known to be a chief predictor of the risk of transmission of infectious diseases. In this work, we investigate the role of the individuals’ viral load in the disease transmission by proposing a new susceptible-infectious-recovered epidemic model for the densities and mean viral loads of each compartment. To this aim, we formally derive the compartmental model from an appropriate microscopic one. Firstly, we consider a multi-agent system in which individuals are identified by the epidemiological compartment to which they belong and by their viral load. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | transmission of infectious diseases | vi |
dc.subject | susceptible-infectious-recovered epidemic model | vi |
dc.title | An SIR model with viral load-dependent transmission | vi |
dc.type | Book | vi |
Appears in Collections | ||
OER - Khoa học Tự nhiên |
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