Deep reinforcement learning approaches for global public health strategies for COVID-19 pandemic.
<h4>Background</h4>Unprecedented public health measures have been used during this coronavirus 2019 (COVID-19) pandemic to control the spread of SARS-CoV-2 virus. It is a challenge to implement timely and appropriate public health interventions.<h4>Methods and findings</h4>Po...
Main Authors: | Gloria Hyunjung Kwak, Lowell Ling, Pan Hui |
---|---|
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.0251550 |
Similar Items
-
Effects of the COVID-19 pandemic on senior dental students in Korea: Examining stress, burnout, and depression
by: Gloria Hyunjung Kwak, et al.
Published: (2024-04-01) -
Addressing an urgent global public health need: Strategies to recover routine vaccination during the COVID-19 pandemic
by: Anna Larson, et al.
Published: (2022-01-01) -
China's COVID-19 Control Strategy and Its Impact on the Global Pandemic
by: Difeng Ding, et al.
Published: (2022-03-01) -
Global public health security and justice for vaccines and therapeutics in the COVID-19 pandemic
by: Peter J. Hotez, et al.
Published: (2021-09-01) -
Innovative strategies to promote global health: Lessons from the Covid-19 pandemic
by: Andrew John Macnab
Published: (2023-02-01)