Cargando…
Covid-19: predictive mathematical formulae for the number of deaths during lockdown and possible scenarios for the post-lockdown period
In a recent article, we introduced two novel mathematical expressions and a deep learning algorithm for characterizing the dynamics of the number of reported infected cases with SARS-CoV-2. Here, we show that such formulae can also be used for determining the time evolution of the associated number...
Autores principales: | Fokas, Athanassios S., Dikaios, Nikolaos, Kastis, George A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300658/ https://www.ncbi.nlm.nih.gov/pubmed/35153555 http://dx.doi.org/10.1098/rspa.2020.0745 |
Ejemplares similares
-
Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2
por: Fokas, A. S., et al.
Publicado: (2020) -
SARS-CoV-2: The Second Wave in Europe
por: Fokas, Athanassios S, et al.
Publicado: (2021) -
Easing COVID-19 lockdown measures while protecting the older restricts the deaths to the level of the full lockdown
por: Fokas, A. S., et al.
Publicado: (2021) -
Lockdown-4: Impact of Lockdown on COVID-19 Scenario in India
por: Pachori, Ravi
Publicado: (2020) -
The mathematics of multiple lockdowns
por: Scala, Antonio
Publicado: (2021)