Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have emerged as powerful tools to produce valuable predictions of the evolution of the pandemic, helping public health authorities decide which intervention policies should be implemented. The study of these models -- grounded in the systems theory and often analyzed us...
Alternative Titles
Full title
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2495190744
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2495190744
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2103.00181
