Machine Learning-Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation
BackgroundNational governments worldwide have implemented nonpharmaceutical interventions to control the COVID-19 pandemic and mitigate its effects. ObjectiveThe aim of this study was to investigate the prediction of future daily national confirmed COVID-19 infection growth-the percentage change in...
Saved in:
Main Authors: | Yeung, Arnold YS (Author), Roewer-Despres, Francois (Author), Rosella, Laura (Author), Rudzicz, Frank (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
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
-
The effect of nonpharmaceutical interventions on influenza virus transmission
by: Danlei Chen, et al.
Published: (2024) -
Effects of nonpharmaceutical interventions for coronavirus disease 2019
by: Jae Hong Choi
Published: (2022) -
Effect of astaxanthin from Haematococcus pluvialis NIES114 on growth of Penaeus monodon larvae
by: Jintana Darachai
Published: (2013) -
Impact of nonpharmaceutical strategies on trends of COVID-19 in São Paulo State
by: Cristiane Ravagnani Fortaleza, et al.
Published: (2021) -
Modelling the Effect of the Interaction between Vaccination and Nonpharmaceutical Measures on COVID-19 Incidence
by: Atsegine Canga, et al.
Published: (2022)