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Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread
The global COVID-19 pandemic brought considerable public and policy attention to the field of infectious disease modelling. A major hurdle that modellers must overcome, particularly when models are used to develop policy, is quantifying the uncertainty in a model’s predictions. By including the most...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221755/ https://www.ncbi.nlm.nih.gov/pubmed/37244962 http://dx.doi.org/10.1038/s41598-023-35580-z |