Evidence map›Paper›PMID 35665614›Full record

ArticleEpidemics2022

Modeling waning and boosting of COVID-19 in Canada with vaccination.

Lauren Childs, David W Dick, Zhilan Feng, Jane M Heffernan, Jing Li, Gergely Röst

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  14. COVID-19 Vaccination and Healthcare Demand.Bulletin of mathematical biology · 2023
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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 at 5 institutions in 3 countries.

Lauren ChildsMathematics, Center for Emerging and Zoonotic Pathogens, Virginia Tech, Blacksburg, VA, USA.
David W DickMathematics and Statistics, Centre for Disease Modelling, York University, Toronto, Canada.
Zhilan FengMathematics, Purdue University, West Lafayette IN, USA; National Science Foundation, Alexandria, VA, USA.
Jane M HeffernanMathematics and Statistics, Centre for Disease Modelling, York University, Toronto, Canada. Electronic address: jmheffer@yorku.ca.
Jing LiMathematics, California State University, Northridge, CA, USA.
Gergely RöstMathematics, University of Szeged, Szeged, Hungary.
York University · CACalifornia State University, Northridge · USUniversity of Szeged · HUU.S. National Science Foundation · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, the causative agent of COVID-19, has caused devastating health and economic impacts around the globe since its appearance in late 2019. The advent of effective vaccines leads to open questions on how best to vaccinate the population. To address such questions, we developed a model of COVID-19 infection by age that includes the waning and boosting of immunity against SARS-CoV-2 in the context of infection and vaccination. The model also accounts for changes to infectivity of the virus, such as public health mitigation protocols over time, increases in the transmissibility of variants of concern, changes in compliance to mask wearing and social distancing, and changes in testing rates. The model is employed to study public health mitigation and vaccination of the COVID-19 epidemic in Canada, including different vaccination programs (rollout by age), and delays between doses in a two-dose vaccine. We find that the decision to delay the second dose of vaccine is appropriate in the Canadian context. We also find that the benefits of a COVID-19 vaccination program in terms of reductions in infections is increased if vaccination of 15-19 year olds are included in the vaccine rollout.

Indexed as

COVID-19CanadaCOVID-19 VaccinesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesAge structureCOVID-19Delay of second dose of vaccineVaccinationWaning immunity

Identifiers

PMID35665614
PMCPMC9132433
OpenAlexW4281551947

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.