Journal article
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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Authors
Bibliographic Details
- Publisher:
- Wiley Publisher's website
- Journal:
- Social Science Quarterly Journal website
- Volume:
- 102
- Issue:
- 5
- Pages:
- 2070-2087
- Publication date:
- 2021-08-07
- Acceptance date:
- 2021-05-22
- DOI:
- EISSN:
-
1540-6237
- ISSN:
-
0038-4941
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1178192
- Local pid:
- pubs:1178192
- Deposit date:
- 2021-05-24
Terms of use
- Copyright holder:
- Doornik et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 The Authors. Social Science Quarterly published by Wiley Periodicals LLC on behalf of Southwestern Social Science Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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