Evidence map›Paper›PMID 35783471›Full record

ArticleComputer methods and programs in biomedicine update2022

Big data analytics and COVID-19 vaccine.

Fahmida Aslam, Yang Yue

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine update, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Fahmida AslamInternational food and drug policy law and research Centre, Business school, Shenyang Pharmaceutical University, Shenyang, China.
Yang YueInternational food and drug policy law and research Centre, Business school, Shenyang Pharmaceutical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has severely affected almost every aspect of society worldwide. During the uncertainties of this pandemic, COVID-19 vaccines were a new hope. In particular, Covid's monitoring of the information, big data analysis played a major role. What started as the basic use of big data analysis is the core component of worldly initiatives Therefore, based on enlightening experiences of big data application for fighting the pandemic, this research focuses on the ethical objectives to be promoted in vaccine delivery, assessing the potential effect of big data analytics on reaching these goals by enabling people to receive a digital passport or certificate.

Indexed as

Big data analyticvaccines, digital passport, COVID 19

Identifiers

PMID35783471
PMCPMC9236915

What OpenQuestion holds

Textmetadata
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.