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Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona

Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79cfb45744a448ee80d08c5c4fca3d76

Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona

About this item

Full title

Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona

Publisher

United States: AIMS Press

Journal title

Mathematical Biosciences and Engineering, 2020-09, Vol.17 (5), p.4891-4904

Language

English

Formats

Publication information

Publisher

United States: AIMS Press

More information

Scope and Contents

Contents

The outbreak of COVID-19 disrupts the life of many people in the world. The state of Arizona in the U.S. emerges as one of the country's newest COVID-19 hot spots. Accurate forecasting for COVID-19 cases will help governments to implement necessary measures and convince more people to take personal precautions to combat the virus. It is difficult t...

Alternative Titles

Full title

Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_79cfb45744a448ee80d08c5c4fca3d76

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79cfb45744a448ee80d08c5c4fca3d76

Other Identifiers

ISSN

1551-0018

E-ISSN

1551-0018

DOI

10.3934/mbe.2020266

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