Evidence map›Paper›PMID 39075130›Full record

ArticleScientific reports2024

Cholera disease dynamics with vaccination control using delay differential equation.

Jaskirat Pal Singh, Sachin Kumar, Ali Akgül, Murad Khan Hassani

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. 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.

Jaskirat Pal SinghDepartment of Mathematics and Statistics, Central University of Punjab, Bathinda, 151401, India.
Sachin KumarDepartment of Mathematics and Statistics, Central University of Punjab, Bathinda, 151401, India. sachin.kumar@cup.edu.in.
Ali AkgülDepartment of Mathematics, Siirt University Art and Science Faculty, 56100, Siirt, Turkey.
Murad Khan HassaniDepartment of Mathematics, Ghazni University, Ghazni, Afghanistan. mhassani@gu.edu.af.

Funding

Council of Scientific and Industrial Research, India 09/1051(12023)/2021- EMR-IDepartment of Science and Technology, Government of Kerala SR/FST/MS-I/2021/104
6 · The paper itself

Abstract

The COVID-19 pandemic came with many setbacks, be it to a country's economy or the global missions of organizations like WHO, UNICEF or GTFCC. One of the setbacks is the rise in cholera cases in developing countries due to the lack of cholera vaccination. This model suggested a solution by introducing another public intervention, such as adding Chlorine to water bodies and vaccination. A novel delay differential model of fractional order was recommended, with two different delays, one representing the latent period of the disease and the other being the delay in adding a disinfectant to the aquatic environment. This model also takes into account the population that will receive a vaccination. This study utilized sensitivity analysis of reproduction number to analytically prove the effectiveness of control measures in preventing the spread of the disease. This analysis provided the mathematical evidence for adding disinfectants in water bodies and inoculating susceptible individuals. The stability of the equilibrium points has been discussed. The existence of stability switching curves is determined. Numerical simulation showed the effect of delay, resulting in fluctuations in some compartments. It also depicted the impact of the order of derivative on the oscillations.

Indexed as

CholeraCOVID-19VaccinationCholera VaccinesComputer SimulationHumansModels, TheoreticalPandemicsSARS-CoV-2Cholera VaccinesBifurcation analysisCaputo derivativeCholeradelay differential equationPredictor–corrector methodSensitivity analysisStability analysis

Identifiers

PMID39075130
PMCPMC11286863

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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.