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Monitoring and Tracking the Evolution of a Viral Epidemic Through Nonlinear Kalman Filtering: Application to the COVID-19 Case
This work presents a novel methodology for systematically processing the time series that report the number of positive, recovered and deceased cases from a viral epidemic, such as Covid-19. The main objective is to unveil the evolution of the number of real infected people, and consequently to pred...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9088803/ https://www.ncbi.nlm.nih.gov/pubmed/33657005 http://dx.doi.org/10.1109/JBHI.2021.3063106 |