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Enhancing long-term forecasting: Learning from COVID-19 models
While much effort has gone into building predictive models of the COVID-19 pandemic, some have argued that early exponential growth combined with the stochastic nature of epidemics make the long-term prediction of contagion trajectories impossible. We conduct two complementary studies to assess mode...
Autores principales: | Rahmandad, Hazhir, Xu, Ran, Ghaffarzadegan, Navid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119494/ https://www.ncbi.nlm.nih.gov/pubmed/35587466 http://dx.doi.org/10.1371/journal.pcbi.1010100 |
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