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COVID-19: data-driven dynamics, statistical and distributed delay models, and observations

COVID-19: data-driven dynamics, statistical and distributed delay models, and observations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7409621

COVID-19: data-driven dynamics, statistical and distributed delay models, and observations

About this item

Full title

COVID-19: data-driven dynamics, statistical and distributed delay models, and observations

Publisher

Dordrecht: Springer Netherlands

Journal title

Nonlinear dynamics, 2020, Vol.101 (3), p.1527-1543

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

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

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

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