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Modeling and forecasting the COVID-19 pandemic time-series data

Abstract:

Objective We analyze the number of recorded cases and deaths of COVID-19 in many parts of the world, with the aim to understand the complexities of the data, and produce regular forecasts.

Methods The SARS-CoV-2 virus that causes COVID-19 has affected societies in all corners of the globe but with vastly differing experiences across countries. Health-care and economic systems vary significantly across countries, as do policy responses, including te...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Author
ORCID:
0000-0002-8013-576X
Publisher:
Wiley
Journal:
Social Science Quarterly More from this journal
Volume:
102
Issue:
5
Pages:
2070-2087
Publication date:
2021-08-07
Acceptance date:
2021-05-22
DOI:
EISSN:
1540-6237
ISSN:
0038-4941
Language:
English
Keywords:
Pubs id:
1178192
Local pid:
pubs:1178192
Deposit date:
2021-05-24

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