Deep reinforcement learning approaches for global public health strategies for COVID-19 pandemic

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. Population and COVID-19 epidemiological data between 21st January 2020 to...

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Veröffentlicht in:	PloS one 2021-05, Vol.16 (5), p.e0251550
Hauptverfasser:	Kwak, Gloria Hyunjung, Ling, Lowell, Hui, Pan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anesthesia Biology and Life Sciences Case reports Communicable Disease Control Computer and Information Sciences Control Coronaviridae Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control Decision making Decision support systems Deep Learning Disease control Drafting software Editing Electronic mail Epidemics Global Health Humans Infection control Life expectancy Life span Machine learning Medicine and Health Sciences Methods Pandemics Population characteristics Population density Population number Public Health Public health administration SARS-CoV-2 - isolation & purification Science and technology Severe acute respiratory syndrome coronavirus 2 Social Sciences Technology Technology application Territory Viral diseases Viruses
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