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Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Open accessAbstract
The outbreak of the coronavirus disease 2019 (Covid‐19) has become an evolving worldwide health crisis. With the rising prevalence of obesity and diabetes has come an increasing awareness of their impacts on infectious diseases, including increased risk for various infections, post‐infection complications and mortality from critical infections. Although epidemiological and clinical characteristics of Covid‐19 have been constantly reported, no article has systematically illustrated the role of obesity and diabetes in Covid‐19, or how Covid‐19 affects obesity and diabetes, or special treatment in these at‐risk populations. Here, we present a synthesis of the recent advances in our understanding of the relationships between obesity, diabetes and Covid‐19 along with the underlying mechanisms, and provide special treatment guidance for these at‐risk populations.
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Metadata
- Authors
- Zhou, Y., Chi, J., Lv, W., & Wang, Y.
- Venue
- Diabetes/Metabolism Research and Reviews
- Publisher
- Wiley
- Published
- 2020-07-20
- Volume
- 37
- Issue
- 2
- Pages
- e3377-e3377
- ISSN
- 1520-7552 (ISSN-L)
- 1520-7560
- OpenAlex
- W3037173725
- Cited by
- 490
- References
- 179
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.