Cargando…
Forecasting COVID-19 daily cases using phone call data
The need to forecast COVID-19 related variables continues to be pressing as the epidemic unfolds. Different efforts have been made, with compartmental models in epidemiology and statistical models such as AutoRegressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS) or computing inte...
Autores principales: | Rostami-Tabar, Bahman, Rendon-Sanchez, Juan F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687495/ https://www.ncbi.nlm.nih.gov/pubmed/33269029 http://dx.doi.org/10.1016/j.asoc.2020.106932 |
Ejemplares similares
-
Weather factors in the short-term forecasting of daily ambulance calls
por: Wong, Ho-Ting, et al.
Publicado: (2013) -
Estimating COVID-19 cases and outbreaks on-stream through phone calls
por: Alvarez, Ezequiel, et al.
Publicado: (2021) -
Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India
por: Khajanchi, Subhas, et al.
Publicado: (2020) -
Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt’s model
por: Martinez, Edson Zangiacomi, et al.
Publicado: (2020) -
Effectiveness of weekly cell phone counselling calls and daily text messages to improve breastfeeding indicators
por: Patel, Archana, et al.
Publicado: (2018)