Evidence map›Paper›PMID 34255985›Full record

ArticleJournal of the Royal Society, Interface2021

Integrated vaccination and non-pharmaceutical interventions based strategies in Ontario, Canada, as a case study: a mathematical modelling study.

Matthew Betti, Nicola Luigi Bragazzi, Jane M Heffernan, Jude Kong, Angie Raad

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  7. 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

5 authors at 2 institutions in 1 country.

Matthew BettiMathematics and Computer Science, Mount Allison University, Sackville, New Brunswick, Canada.
Nicola Luigi BragazziDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada M3J 1P3.
Jane M HeffernanDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada M3J 1P3.
Jude KongDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada M3J 1P3.
Angie RaadDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, Ontario, Canada M3J 1P3.
York University · CAMount Allison University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, two coronavirus disease 2019 (COVID-19) vaccine products have been authorized in Canada. It is of crucial importance to model an integrated/combined package of non-pharmaceutical (physical/social distancing) and pharmaceutical (immunization) public health control measures. A modified epidemiological, compartmental SIR model was used and fit to the cumulative COVID-19 case data for the province of Ontario, Canada, from 8 September 2020 to 8 December 2020. Different vaccine roll-out strategies were simulated until 75% of the population was vaccinated, including a no-vaccination scenario. We compete these vaccination strategies with relaxation of non-pharmaceutical interventions. Non-pharmaceutical interventions were supposed to remain enforced and began to be relaxed on 31 January, 31 March or 1 May 2021. Based on projections from the data and long-term extrapolation of scenarios, relaxing the public health measures implemented by re-opening too early would cause any benefits of vaccination to be lost by increasing case numbers, increasing the effective reproduction number above 1 and thus increasing the risk of localized outbreaks. If relaxation is, instead, delayed and 75% of the Ontarian population gets vaccinated by the end of the year, re-opening can occur with very little risk. Relaxing non-pharmaceutical interventions by re-opening and vaccine deployment is a careful balancing act. Our combination of model projections from data and simulation of different strategies and scenarios, can equip local public health decision- and policy-makers with projections concerning the COVID-19 epidemiological trend, helping them in the decision-making process.

Indexed as

COVID-19HumansModels, TheoreticalOntarioSARS-CoV-2VaccinationCanadaCOVID-19 pandemicmathematical modellingnon-pharmaceutical interventionsOntariovaccine and immunization campaign

Identifiers

PMID34255985
PMCPMC8277469
OpenAlexW3180745853

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.