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Computational Science in the Battle Against COVID-19—Part II
Copyright policy )Computational Science in the Battle Against COVID-19—Part II
International audience; The articles in this special issue address the role of computing in battling with the COVID-19 pandemic. We are currently dealing with a third wave of the pandemic caused by SARS-CoV-2. Cases are spiking in most European countries, Canada, and the United States. The number of reported cases has reached 55 million worldwide, and over 1.3 million people have died.
- Université Paris Diderot France
- French National Centre for Scientific Research France
- Carleton University Canada
Microsoft Academic Graph classification: 2019-20 coronavirus outbreak Battle History Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) media_common.quotation_subject Pandemic Engineering ethics media_common
General Computer Science, [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], General Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
General Computer Science, [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], General Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Microsoft Academic Graph classification: 2019-20 coronavirus outbreak Battle History Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) media_common.quotation_subject Pandemic Engineering ethics media_common
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!
- Université Paris Diderot France
- French National Centre for Scientific Research France
- Carleton University Canada
International audience; The articles in this special issue address the role of computing in battling with the COVID-19 pandemic. We are currently dealing with a third wave of the pandemic caused by SARS-CoV-2. Cases are spiking in most European countries, Canada, and the United States. The number of reported cases has reached 55 million worldwide, and over 1.3 million people have died.