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The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Considering how biological sex impacts immune responses and COVID-19 outcomes

Open access
Scully, Eileen P., Haverfield, Jenna, Ursin, Rebecca L., Tannenbaum, Cara, Klein, Sabra L.·2020·Nature Reviews Immunology

Abstract

A male bias in mortality has emerged in the COVID-19 pandemic, which is consistent with the pathogenesis of other viral infections. Biological sex differences may manifest themselves in susceptibility to infection, early pathogenesis, innate viral control, adaptive immune responses or the balance of inflammation and tissue repair in the resolution of infection. We discuss available sex-disaggregated epidemiological data from the COVID-19 pandemic, introduce sex-differential features of immunity and highlight potential sex differences underlying COVID-19 severity. We propose that sex differences in immunopathogenesis will inform mechanisms of COVID-19, identify points for therapeutic intervention and improve vaccine design and increase vaccine efficacy. Why are males more susceptible to severe COVID-19 than females? In this Perspective, Sabra Klein and colleagues consider the sex differences in the immune system that may contribute to this sex bias.

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Metadata

Authors
Scully, E. P., Haverfield, J., Ursin, R. L., Tannenbaum, C., & Klein, S. L.
Venue
Nature Reviews Immunology
Published
2020-06-11
Volume
20
Issue
7
Pages
442-447
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W3035353028
Cited by
932
References
114
FWCI
10.33
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Considering how biological sex impacts immune responses and COVID-19 outcomes. https://app.cochat.ai/papers/10.1038/s41577-020-0348-8
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Scully, E. P., Haverfield, J., Ursin, R. L., Tannenbaum, C., & Klein, S. L. (2020). Considering how biological sex impacts immune responses and COVID-19 outcomes. Nature Reviews Immunology. https://doi.org/10.1038/s41577-020-0348-8

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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