Evidence map›Paper›PMID 39485754›Full record

ArticlePloS one2024

Insights from qualitative and bifurcation analysis of COVID-19 vaccination model in Bangladesh.

Md Abdul Kuddus, M Mohiuddin, Anip Kumar Paul, Azizur Rahman

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Md Abdul KuddusDepartment of Mathematics, University of Rajshahi, Rajshahi, Bangladesh.ORCID 0000-0003-1569-9523
M MohiuddinDepartment of Mathematics, Comilla University, Cumilla, Bangladesh.
Anip Kumar PaulDepartment of Mathematics, University of Rajshahi, Rajshahi, Bangladesh.
Azizur RahmanSchool of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, New South Wales, Australia.ORCID 0000-0002-7670-5192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unprecedented global impact of the 2019 coronavirus disease (COVID-19) has necessitated a comprehensive understanding of its transmission dynamics and control measures. In this study, we present a detailed analysis of a COVID-19 vaccination model tailored to the context of Bangladesh, incorporating dual-dose vaccination strategies. By employing qualitative and bifurcation analysis techniques, we investigate the equilibrium points, effective reproduction number (R0), and critical thresholds that influence the prevalence and control of COVID-19 in the region. Our findings reveal insights into the effectiveness of vaccination programs and provide a framework for developing targeted control plans. Through a rigorous examination of model parameters and sensitivity analysis, we identify key factors driving COVID-19 transmission dynamics, emphasizing the significance of vaccination rates and other critical parameters. The validation of our model against real-world data underscores its utility in informing evidence-based decision-making for managing the COVID-19 pandemic in Bangladesh and beyond.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2VaccinationBangladeshBasic Reproduction NumberHumansPandemicsCOVID-19 Vaccines

Identifiers

PMID39485754
PMCPMC11530044

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.