Evidence map›Paper›PMID 34059436›Full record

ReviewTrends in microbiology2021

Catch Me if You Can: Superspreading of COVID-19.

Seema S Lakdawala, Vineet D Menachery

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Uncovering heterogeneous intercommunity disease transmission from neutral allele frequency time series.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. The potential impacts of human genetics on virus emergence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Structural modeling of COVID-19 spread in relation to human mobility.Transportation research interdisciplinary perspectives · 2022
    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.

Seema S LakdawalaDepartment of Microbiology and Molecular Genetics, Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Vineet D MenacheryDepartment of Microbiology and Immunology, Institute for Human Infection and Immunity, World Reference Center for Emerging Viruses and Arboviruses, University of Texas Medical Branch at Galveston, Galveston, TX, USA. Electronic address: Vimenach@utmb.edu.

Funding

Identifying host and viral correlates for coronavirus pathogenesisR01AI153602 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI JOHNSON, BRYAN A · 2020 to 2023
$2.0M
Visualization of Influenza Viral RNA AssemblyR01AI139063 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKDAWALA, SEEMA S. · 2018 to 2022
$1.9M
The Host Genetics of Age-Dependent SusceptibilityR21AI145400 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI MENACHERY, VINEET D · 2020 to 2021
$451k
NIAID NIH HHS HHSN272201400007CNIAID NIH HHS R01 AI139063NIAID NIH HHS R01 AI153602NIAID NIH HHS R21 AI145400
6 · The paper itself

Abstract

While significant insights have been gained concerning COVID-19, superspreading of coronaviruses remains a mystery. The vast majority of cases have been linked to a relatively small portion of infected individuals. Yet, the genetic sequence of the virus, severity of disease, and underlying host parameters, such as age, sex, and health conditions, are not clearly driving the superspreading phenomenon. In this commentary we discuss what is known and what is not known about coronavirus superspreader transmission and explore whether characteristics of the virion, the donor, or the environment contribute to this phenomenon.

Indexed as

Age FactorsCOVID-19Health StatusHumansSARS-CoV-2Sex FactorsCoronavirusCOVID-19SARS-CoV-2superspreadingtransmission

Identifiers

PMID34059436
PMCPMC8112283

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.