Journal article : Review
Modelling COVID-19
- Abstract:
- As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 655.0KB, Terms of use)
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- Publisher copy:
- 10.1038/s42254-020-0178-4
Authors
- Publisher:
- Nature Research
- Journal:
- Nature Reviews Physics More from this journal
- Volume:
- 2
- Issue:
- 6
- Pages:
- 279–281
- Publication date:
- 2020-05-06
- Acceptance date:
- 2020-04-07
- DOI:
- EISSN:
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2522-5820
- Language:
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English
- Keywords:
- Subtype:
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Review
- Pubs id:
-
1109782
- Local pid:
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pubs:1109782
- Deposit date:
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2020-06-08
Terms of use
- Copyright holder:
- Springer Nature Limited
- Copyright date:
- 2020
- Rights statement:
- © Springer Nature Limited 2020
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Nature Research at https://doi.org/10.1038/s42254-020-0178-4
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