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A primer on stable parameter estimation and forecasting in epidemiology by a problem-oriented regularized least squares algorithm
Public health officials are increasingly recognizing the need to develop disease-forecasting systems to respond to epidemic and pandemic outbreaks. For instance, simple epidemic models relying on a small number of parameters can play an important role in characterizing epidemic growth and generating...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
KeAi Publishing
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002070/ https://www.ncbi.nlm.nih.gov/pubmed/29928741 http://dx.doi.org/10.1016/j.idm.2017.05.004 |