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Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
The ability to infer the timing and amplitude of perturbations in epidemiological systems from their stochastically spread low-resolution outcomes is crucial for multiple applications. However, the general problem of connecting epidemiological curves with the underlying incidence lacks the highly ef...
Autores principales: | Vilar, Jose M. G., Saiz, Leonor |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348669/ https://www.ncbi.nlm.nih.gov/pubmed/37450598 http://dx.doi.org/10.1126/sciadv.adf0673 |
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