Evidence map›Paper›PMID 38796642›Full record

ArticleScientific reports2024

Analysis of a fractional-order model for dengue transmission dynamics with quarantine and vaccination measures.

Muhammad Usman, Mujahid Abbas, Safeer Hussain Khan, Andrew Omame

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

4 authors.

Muhammad UsmanAbdus Salam School of Mathematical Sciences, Government College University Katchery Road, Lahore, 54000, Pakistan.
Mujahid AbbasDepartment of Mathematics, Government College University Katchery Road, Lahore, 54000, Pakistan.
Safeer Hussain KhanDepartment of Mathematics and Statistics, North Carolina A &T State University, Greensboro, NC, 27411, USA. shkhan@ncat.edu.
Andrew OmameAbdus Salam School of Mathematical Sciences, Government College University Katchery Road, Lahore, 54000, Pakistan.

Funding

North Carolina Agricultural and Technical State University Start up grant
6 · The paper itself

Abstract

A comprehensive mathematical model is proposed to study two strains of dengue virus with saturated incidence rates and quarantine measures. Imperfect dengue vaccination is also assumed in the model. Existence, uniqueness and stability of the proposed model are proved using the results from fixed point and degree theory. Additionally, well constructed Lyapunov function candidates are also applied to prove the global stability of infection-free equilibria. It is also demonstrated that the model is generalized Ulam-Hyers stable under some appropriate conditions. The model is fitted to the real data of dengue epidemic taken from the city of Espirito Santo in Brazil. For the approximate solution of the model, a non-standard finite difference(NSFD) approach is applied. Sensitivity analysis is also carried out to show the influence of different parameters involved in the model. The behaviour of the NSFD is also assessed under different denominator functions and it is observed that the choice of the denominator function could influence the solution trajectories. Different scenario analysis are also assessed when the reproduction number is below or above one. Furthermore, simulations are also presented to assess the epidemiological impact of dengue vaccination and quarantine measures for infected individuals.

Indexed as

DengueQuarantineVaccinationBrazilDengue VaccinesDengue VirusHumansModels, TheoreticalDengue VaccinesDengueExistence and uniquenessMathematical modelNonstandard finite difference schemeReproduction numberStabilityStrains

Identifiers

PMID38796642
PMCPMC11637042

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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.