Evidence map›Paper›PMID 35241699›Full record

ArticleScientific reports2022

Dynamical regulations on mobility and vaccinations for controlling COVID-19 spread.

Mevan Rajakaruna, Harshana Rajakaruna, Rupika Rajakaruna

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Mevan RajakarunaDepartment of Mathematical and Computational Sciences, University of Toronto, Mississauga, ON, L5L1C6, Canada.
Harshana RajakarunaBattelle Center for Mathematical Medicine, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, 43215, USA.
Rupika RajakarunaDepartment of Zoology, University of Peradeniya, Peradeniya, 20400, Sri Lanka. rupikar@pdn.ac.lk.

Funding

National Research Council Sri Lanka 20-083
6 · The paper itself

Abstract

Using a system of time-dynamical equations, we investigate how daily mobility indices, such as the homestay percentage above the pre-COVID normal ([Formula: see text]; or H-forcing), and the vaccinated percentage ([Formula: see text]; or V-forcing) impact the net reproductive rate (R0) of COVID-19 in ten island nations as a prototype, and then, extending it to 124 countries worldwide. Our H- and V-forcing model of R0 can explain the new trends in 106 countries. The disease transmission can be controlled by forcing down [Formula: see text] with an enforcement of continuous [Formula: see text] in [Formula: see text] of countries with [Formula: see text] vaccinated plus recovered, [Formula: see text]. The required critical [Formula: see text] decreases with increasing [Formula: see text], dropping it down to [Formula: see text] with [Formula: see text], and further down to [Formula: see text] with [Formula: see text]. However, the regulations on [Formula: see text] are context-dependent and country-specific. Our model gives insights into forecasting and controlling the disease's transmission behaviour when the effectiveness of the vaccines is a concern due to new variants, and/or there are delays in vaccination rollout programs.

Indexed as

COVID-19COVID-19 VaccinesHumansSARS-CoV-2COVID-19 Vaccines

Identifiers

PMID35241699
PMCPMC8894369

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.