Evidence map›Paper›PMID 40078224›Full record

ArticleBiosafety and health2023

Forecast the potential SARS-CoV-2 variants in the future and predict their biological properties and social impacts from bioinformatics and public health perspectives.

Yixue Li, Yuming Guo, Tao Huang

Expression of concernAbstract readEditorial
In one paragraph

Article in Biosafety and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yixue LiGuangzhou Laboratory, Guangzhou 510005, China.
Yuming GuoMonash University, Clayton, Australia.
Tao HuangShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

•We provided a comprehensive view on the effects of new SARS-CoV-2 variants on transmission, pathogenicity, and fatality.•A wide range of multimodal data have been analyzed, including SARS-CoV-2 variants, multi-omics, and public health data.•Our objective is to support epidemic prevention and control efforts.

Identifiers

PMID40078224
PMCPMC11894992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.