COVID-19 spatio-temporal forecast in England

Oleg Gaidai; Vladimir Yakimov; Fuxi Zhang

doi:10.1016/j.biosystems.2023.105035

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JOURNAL ARTICLE

COVID-19 spatio-temporal forecast in England

Oleg Gaidai Vladimir Yakimov Fuxi Zhang

Year: 2023 Journal: Biosystems Vol: 233 Pages: 105035-105035 Publisher: Elsevier BV

DOI: 10.1016/j.biosystems.2023.105035

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Keywords:

Outbreak Coronavirus disease 2019 (COVID-19) Reliability (semiconductor) Public health Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer science Case fatality rate 2019-20 coronavirus outbreak Geography Econometrics Operations research Statistics Environmental health Disease Environmental resource management Environmental science Medicine Infectious disease (medical specialty) Mathematics Virology Population

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Topics

COVID-19 epidemiological studies

Physical Sciences → Mathematics → Modeling and Simulation

Zoonotic diseases and public health

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

COVID-19 Clinical Research Studies

Health Sciences → Medicine → Infectious Diseases

COVID-19 spatio-temporal forecast in England

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Citation History

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