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On Parameter Identifiability in Network-Based Epidemic Models
Modelling epidemics on networks represents an important departure from classical compartmental models which assume random mixing. However, the resulting models are high-dimensional and their analysis is often out of reach. It turns out that mean-field models, low-dimensional systems of differential...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880946/ https://www.ncbi.nlm.nih.gov/pubmed/36705777 http://dx.doi.org/10.1007/s11538-023-01121-y |