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Cited by 445

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Immune response in COVID-19: A review

Open access
Chowdhury, Mohammad Asaduzzaman, Hossain, Nayem, Kashem, Mohammod Abul, Shahid, Md. Abdus, Alam, Ashraful·2020·Journal of Infection and Public Health

Abstract

The immune system protects against viruses and diseases and produces antibodies to kill pathogens. This review presents a brief overview of the immune system regarding its protection of the human body from COVID-19; illustrates the process of the immune system, how it works, and its mechanism to fight virus; and presents information on the most recent COVID-19 treatments and experimental data. Various types of potential challenges for the immunes system are also discussed. At the end of the article, foods to consume and avoid are suggested, and physical exercise is encouraged. This article can be used worldwide as a state of the art in this critical moment for promising alternative solutions related to surviving the coronavirus.

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Integrity signals

Registry

Crossref · 10.1016/j.jiph.2020.07.001

Cites

89 of 89 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Metadata

Authors
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A.
Venue
Journal of Infection and Public Health
Publisher
Elsevier BV
Published
2020-11
Volume
13
Issue
11
Pages
1619-1629
ISSN
1876-0341 (ISSN-L)
OpenAlex
W3043433431
Cited by
445
References
89
FWCI
11.56
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Immune response in COVID-19: A review. https://app.cochat.ai/papers/10.1016/j.jiph.2020.07.001
The paper
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020). Immune response in COVID-19: A review. Journal of Infection and Public Health. https://doi.org/10.1016/j.jiph.2020.07.001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.