Model-based forecasting for Canadian COVID-19 data.
<h4>Background</h4>Since March 11, 2020 when the World Health Organization (WHO) declared the COVID-19 pandemic, the number of infected cases, the number of deaths, and the number of affected countries have climbed rapidly. To understand the impact of COVID-19 on public health, many stud...
Main Authors: | Li-Pang Chen, Qihuang Zhang, Grace Y Yi, Wenqing He |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0244536 |
Similar Items
-
Multiclass analysis and prediction with network structured covariates
by: Li-Pang Chen, et al.
Published: (2019-06-01) -
Data-based analysis, modelling and forecasting of the COVID-19 outbreak.
by: Cleo Anastassopoulou, et al.
Published: (2020-01-01) -
A Simulation Model for Forecasting COVID-19 Pandemic Spread: Analytical Results Based on the Current Saudi COVID-19 Data
by: Ahmad B. Hassanat, et al.
Published: (2021-04-01) -
BIFM: Big-Data Driven Intelligent Forecasting Model for COVID-19
by: Sujata Dash, et al.
Published: (2021-01-01) -
Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic
by: Teodoro Alamo, et al.
Published: (2020-05-01)