Journal article
Facilitating safe discharge through predicting disease progression in moderate COVID-19: a prospective cohort study to develop and validate a clinical prediction model in resource-limited settings.
- Abstract:
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Background
In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed.
Methods
We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develo... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 10.4MB, Terms of use)
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- Publisher copy:
- 10.1093/cid/ciac224
Authors
Bibliographic Details
- Publisher:
- Oxford University Press
- Journal:
- Clinical Infectious Diseases More from this journal
- Volume:
- 75
- Issue:
- 1
- Pages:
- e368–e379
- Publication date:
- 2022-03-21
- Acceptance date:
- 2022-03-14
- DOI:
- EISSN:
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1537-6591
- ISSN:
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1058-4838
- Pmid:
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35323932
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1248331
- Local pid:
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pubs:1248331
- Deposit date:
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2022-07-17
Terms of use
- Copyright holder:
- Chandna et al.
- Copyright date:
- 2022
- Rights statement:
- ©2022 The Author(s). Published by Oxford University Press for the Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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