Evidence map›Paper›PMID 33564683›Full record

ReviewBioMed research international2021

Comparison of Immune Response between SARS, MERS, and COVID-19 Infection, Perspective on Vaccine Design and Development.

Hossein Ansariniya, Seyed Mohammad Seifati, Erfan Zaker, Fateme Zare

Abstract readComparative StudyReview
In one paragraph

Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
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  6. Review
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  8. Article
  9. A review of the effect of COVID-19 on immune responses of the body.Journal of family medicine and primary care · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hossein AnsariniyaDepartment of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-5731-4612
Seyed Mohammad SeifatiReproductive Immunology Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.ORCID https://orcid.org/0000-0002-0340-5455
Erfan ZakerDepartment of Medical Genetics, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.ORCID https://orcid.org/0000-0002-3823-0798
Fateme ZareReproductive Immunology Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.ORCID https://orcid.org/0000-0003-0436-9924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), and Coronavirus Disease 2019 (COVID-19) infections are the three epidemiological diseases caused by the Coronaviridae family. Perceiving the immune responses in these infections and the escape of viruses could help us design drugs and vaccines for confronting these infections. This review investigates the innate and adaptive immune responses reported in the infections of the three coronaviruses SARS, MERS, and COVID-19. Moreover, the present study can trigger researchers to design and develop new vaccines and drugs based on immune system responses. In conclusion, due to the need for an effective and efficient immune stimulation against coronavirus, a combination of several strategies seems necessary for developing the vaccine.

Indexed as

Adaptive ImmunityAnimalsCoronavirus InfectionsCOVID-19COVID-19 VaccinesHumansImmunity, InnateMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusCOVID-19 Vaccines

Identifiers

PMID33564683
PMCPMC7841448

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.