Cargando…
A simple mathematical tool to forecast COVID-19 cumulative case numbers
OBJECTIVE: Mathematical models are known to help determine potential intervention strategies by providing an approximate idea of the transmission dynamics of infectious diseases. To develop proper responses, not only are more accurate disease spread models needed, but also those that are easy to use...
Autores principales: | Balak, Naci, Inan, Deniz, Ganau, Mario, Zoia, Cesare, Sönmez, Sinan, Kurt, Batuhan, Akgül, Ahmet, Tez, Müjgan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V. on behalf of INDIACLEN.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352661/ https://www.ncbi.nlm.nih.gov/pubmed/34395949 http://dx.doi.org/10.1016/j.cegh.2021.100853 |
Ejemplares similares
-
Editorial: From simulation to the operating theatre: new insights in translational surgery
por: Balak, Naci, et al.
Publicado: (2023) -
Neurosurgeons and the fight with COVID-19: a position statement from the EANS Individual Membership Committee
por: Ganau, Mario, et al.
Publicado: (2020) -
Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India
por: Khajanchi, Subhas, et al.
Publicado: (2020) -
International Conference on Trends and Perspectives in Linear Statistical Inference
por: Tez, Müjgan, et al.
Publicado: (2018) -
From simple numbers to the calculus: mathematics for everyman
por: Colerus, Egmont
Publicado: (1955)