Evidence map›Paper›PMID 34981039›Full record

ArticleVaccine: X2021

Cov19VaxKB: A Web-based Integrative COVID-19 Vaccine Knowledge Base.

Philip C Huang, Rohit Goru, Anthony Huffman, Asiyah Yu Lin, Michael F Cooke, Yongqun He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Vaccine: X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
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

6 authors.

Philip C HuangCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109.
Rohit GoruCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109.
Anthony HuffmanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Asiyah Yu LinNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Michael F CookeSchool of Information, University of Michigan, Ann Arbor, MI 48109, USA.
Yongqun HeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

Ontology-supported Integrative Analysis and Visualization of Vaccine-induced Pathways and NetworksUH2AI132931 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HE, YONGQUN, WU, GUANMING · 2019 to 2020
$437k
NIAID NIH HHS UH2 AI132931
6 · The paper itself

Abstract

The development of SARS-CoV-2 vaccines during the COVID-19 pandemic has prompted the emergence of COVID-19 vaccine data. Timely access to COVID-19 vaccine information is crucial to researchers and public. To support more comprehensive annotation, integration, and analysis of COVID-19 vaccine information, we have developed Cov19VaxKB, a knowledge-focused COVID-19 vaccine database (http://www.violinet.org/cov19vaxkb/). Cov19VaxKB features comprehensive lists of COVID-19 vaccines, vaccine formulations, clinical trials, publications, news articles, and vaccine adverse event case reports. A web-based query interface enables comparison of product information and host responses among various vaccines. The knowledge base also includes a vaccine design tool for predicting vaccine targets and a statistical analysis tool that identifies enriched adverse events for FDA-authorized COVID-19 vaccines based on VAERS case report data. To support data exchange, Cov19VaxKB is synchronized with Vaccine Ontology and the Vaccine Investigation and Online Information Network (VIOLIN) database. The data integration and analytical features of Cov19VaxKB can facilitate vaccine research and development while also serving as a useful reference for the public.

Indexed as

adverse eventAE, adverse eventbioinformaticsCDC, Centers for Disease Control and PreventionCov19VaxKBCOVID-19COVID-19, Coronavirus disease 2019COVID-19 vaccinedatabaseFDA, Food and Drug Administrationknowledge baseMERS-CoV, Middle Eastern Respiratory SyndromeNCBI, National Center for Biotechnology InformationontologyOWL, Web Ontology LanguagePMID, PubMed identification numberPRR, Proportional Reporting RatioSARS-CoV-2SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2SARS-CoV, Severe Acute Respiratory Syndrome CoronavirusvaccineVAERSVAERS, Vaccine Adverse Event Reporting SystemVIOLIN, Vaccine Investigation and Online Information NetworkVO, Vaccine OntologyWHO, World Health Organization

Identifiers

PMID34981039
PMCPMC8716025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.