Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical i...
Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
Before the availability of vaccines, many countries have resorted multiple times to drastic social restrictions to prevent saturation of their health care system, and to regain control over an otherwise exponentially increasing COVID-19 pandemic. With the advent of data-sharing, computational approaches are key to efficiently control a pandemic wit...
Alternative Titles
Full title
Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_2766402592
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2766402592
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0278882
