Cargando…
COVID-19 Variants and Transfer Learning for the Emerging Stringency Indices
The pandemics in the history of world health organization have always left memorable hallmarks, on the health care systems and on the economy of highly effected areas. The ongoing pandemic is one of the most harmful pandemics and is threatening due to its transformation to more contiguous variants....
Autores principales: | Sohail, Ayesha, Yu, Zhenhua, Nutini, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087157/ https://www.ncbi.nlm.nih.gov/pubmed/35573262 http://dx.doi.org/10.1007/s11063-022-10834-5 |
Ejemplares similares
-
Modeling and simulations of CoViD-19 molecular mechanism induced by cytokines storm during SARS-CoV2 infection
por: Yu, Zhenhua, et al.
Publicado: (2021) -
Modeling the crossover behavior of the bacterial infection with the COVID-19 epidemics
por: Yu, Zhenhua, et al.
Publicado: (2022) -
Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2
por: Yu, Zhenhua, et al.
Publicado: (2021) -
Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2
por: Nutini, Alessandro, et al.
Publicado: (2022) -
Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model
por: Sohail, Ayesha, et al.
Publicado: (2022)