Cargando…
A review of mathematical model-based scenario analysis and interventions for COVID-19()
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness of various scenarios, and more accurate forecast of the trends with and withou...
Autores principales: | Padmanabhan, Regina, Abed, Hadeel S., Meskin, Nader, Khattab, Tamer, Shraim, Mujahed, Al-Hitmi, Mohammed Abdulla |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314871/ https://www.ncbi.nlm.nih.gov/pubmed/34392001 http://dx.doi.org/10.1016/j.cmpb.2021.106301 |
Ejemplares similares
-
Reinforcement learning-based decision support system for COVID-19()
por: Padmanabhan, Regina, et al.
Publicado: (2021) -
Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models
por: Padmanabhan, Regina, et al.
Publicado: (2020) -
Quantification of the growth suppression of HER2+ breast cancer colonies under the effect of trastuzumab and PD-1/PD-L1 inhibitor
por: Padmanabhan, Regina, et al.
Publicado: (2022) -
Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil
por: Pinto Neto, Osmar, et al.
Publicado: (2021) -
The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients’ Preferences for Osteoarthritis Treatment
por: Al-Omari, Basem, et al.
Publicado: (2023)