Cargando…
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods
BACKGROUND: The COVID-19 pandemic conditions are still prevalent in Iran and other countries and the monitoring system is gradually discovering new cases every day. Therefore, it is a cause for concern around the world, and forecasting the number of future patients and death cases, although not enti...
Autores principales: | Talkhi, Nasrin, Akhavan Fatemi, Narges, Ataei, Zahra, Jabbari Nooghabi, Mehdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874981/ https://www.ncbi.nlm.nih.gov/pubmed/33594301 http://dx.doi.org/10.1016/j.bspc.2021.102494 |
Ejemplares similares
-
Clustering of the causes of death in Northeast Iran: a mixed growth modeling
por: Talkhi, Nasrin, et al.
Publicado: (2023) -
COVID-19: Forecasting confirmed cases and deaths with a simple time series model
por: Petropoulos, Fotios, et al.
Publicado: (2022) -
Time Series Modeling and Forecasting of Drug-Related Deaths in Iran (2014-2016)
por: Zarghami, Mehran, et al.
Publicado: (2023) -
Prediction of serum anti-HSP27 antibody titers changes using a light gradient boosting machine (LightGBM) technique
por: Talkhi, Nasrin, et al.
Publicado: (2023) -
Five-Year Forecasting Deaths Caused by Traffic Accidents in Fars Province of Iran
por: Yadollahi, Mahnaz, et al.
Publicado: (2019)