Evidence map›Paper›PMID 41541058›Full record

ArticleBiosafety and health2025

Attribution of super-spreaders to the COVID-19 outbreak.

Rui Wang, Jianping Huang, Xinbo Lian, Yingjie Zhao, Shujuan Hu, Beidou Zhang

Abstract read
In one paragraph

Article in Biosafety and health, 2025. 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

6 authors.

Rui WangCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Jianping HuangCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Xinbo LianCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Yingjie ZhaoCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Shujuan HuCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Beidou ZhangCollaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The explosive growth during the early stages and the sustained transmission in the later phases of the coronavirus disease 2019 (COVID-19) pandemic may be closely linked to superspreading events (SSEs), yet in-depth research into their specific mechanisms and quantitative effects remains limited. This study, based on data from 4,519 COVID-19 cases across eight regions in China, reconstructed transmission chains and quantified key parameters such as the basic reproduction number (

Indexed as

Coronavirus disease 2019 (COVID-19)Dispersion parameterReproduction numberSuperspreading events (SSEs)Transmission chain

Identifiers

PMID41541058
PMCPMC12802358

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.