Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures
Background & objective: Mathematical modeling is the most scientific technique to understand the evolution of natural phenomena, including the spread of infectious diseases. Therefore, these modeling tools have been widely used in epidemiology for predicting risks and decision-making processes....
Saved in:
Main Authors: | Moulay A. Lmater (Author), Mohamed Eddabbah (Author), Tariq Elmoussaoui (Author), Samia Boussaa (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2021-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scenario forecasting for students' professional future
by: V. S. Tretyakova
Published: (2024) -
Flood Forecasting Using Machine Learning Methods
by: Chang, Fi-John
Published: (2019) -
Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions
by: Saleh I. Alzahrani, et al.
Published: (2020) -
Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review
by: Clarisse Lins de Lima, et al.
Published: (2022) -
Nowcasting and Forecasting the Spread of COVID-19 and Healthcare Demand in Turkey, a Modeling Study
by: Seyma Arslan, et al.
Published: (2021)