COVID-19: data-driven dynamics, statistical and distributed delay models, and observations
COVID-19: data-driven dynamics, statistical and distributed delay models, and observations
About this item
Full title
Author / Creator
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
More information
Scope and Contents
Contents
COVID-19 was declared as a pandemic by the World Health Organization on March 11, 2020. Here, the dynamics of this epidemic is studied by using a generalized logistic function model and extended compartmental models with and without delays. For a chosen population, it is shown as to how forecasting may be done on the spreading of the infection by u...
Alternative Titles
Full title
COVID-19: data-driven dynamics, statistical and distributed delay models, and observations
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7409621
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7409621
Other Identifiers
ISSN
0924-090X
E-ISSN
1573-269X
DOI
10.1007/s11071-020-05863-5