Evidence map›Paper›PMID 35308622›Full record

ArticleRoyal Society open science2022

Non-pharmaceutical intervention levels to reduce the COVID-19 attack ratio among children.

Jummy David, Nicola Luigi Bragazzi, Francesca Scarabel, Zachary McCarthy, Jianhong Wu

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 2 institutions in 3 countries.

Jummy DavidFields-CQAM Laboratory of Mathematics for Public Health (MfPH), York University, Toronto, Ontario, Canada.
Nicola Luigi BragazziFields-CQAM Laboratory of Mathematics for Public Health (MfPH), York University, Toronto, Ontario, Canada.
Francesca ScarabelDepartment of Mathematics, The University of Manchester, Manchester, UK.ORCID 0000-0003-0250-4555
Zachary McCarthyFields-CQAM Laboratory of Mathematics for Public Health (MfPH), York University, Toronto, Ontario, Canada.ORCID 0000-0002-3760-3740
Jianhong WuFields-CQAM Laboratory of Mathematics for Public Health (MfPH), York University, Toronto, Ontario, Canada.ORCID 0000-0003-0052-5336
York University · CAUniversity of Udine · IT

Funding

Medical Research Council MR/V038613/1
6 · The paper itself

Abstract

The attack ratio in a subpopulation is defined as the total number of infections over the total number of individuals in this subpopulation. Using a methodology based on an age-stratified transmission dynamics model, we estimated the attack ratio of COVID-19 among children (individuals 0-11 years) when a large proportion of individuals eligible for vaccination (age 12 and above) are vaccinated to contain the epidemic among this subpopulation, or the

Indexed as

age-related heterogeneityattack ratioCOVID-19disease controlpublic health and social measuresvaccination

Identifiers

PMID35308622
PMCPMC8924746
OpenAlexW4220684835

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.