Cargando…
Mathematical prediction of the spreading rate of COVID-19 using entropy-based thermodynamic model
In the COVID-19 pandemic era, undoubtedly mathematical modeling helps epidemiological scientists and authorities to take informing decisions about pandemic planning, wise resource allocation, introducing relevant non-pharmaceutical interventions and implementation of social distancing measures. The...
Autores principales: | Ghanbari, A., Khordad, R., Ghaderi-Zefrehei, Mostafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778492/ https://www.ncbi.nlm.nih.gov/pubmed/33424191 http://dx.doi.org/10.1007/s12648-020-01930-0 |
Ejemplares similares
-
Non-extensive thermodynamic entropy to predict the dynamics behavior of COVID-19
por: Ghanbari, Ahmad, et al.
Publicado: (2022) -
Modelling the spreading rate of controlled communicable epidemics through an entropy-based thermodynamic model
por: Wang, WenBin, et al.
Publicado: (2013) -
A Novel LSSVM Based Algorithm to Increase Accuracy of Bacterial
Growth Modeling
por: Borujeni, Masoud Salehi, et al.
Publicado: (2018) -
A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia
por: Bachar, Mostafa, et al.
Publicado: (2021) -
Mathematical Modelling of Virus Spreading in COVID-19
por: Luo, Liaofu, et al.
Publicado: (2023)