ArticleHealthcare analytics (New York, N.Y.)2023
A caputo fractional order epidemic model for evaluating the effectiveness of high-risk quarantine and vaccination strategies on the spread of COVID-19.
Article in Healthcare analytics (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Modelling the impact of awareness campaigns on HPV transmission dynamics: a neural network-enhanced mathematical model.Scientific reports · 2026Article
- Fractional-order modeling of vaccination strategies for measles transmission incorporating immune memory.Virus research · 2026Article
- A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis.Healthcare analytics (New York, N.Y.) · 2025Article
- Modeling within-host Chikungunya virus dynamics with the immune system using semi-analytical approaches.BMC research notes · 2025Article
- Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach.BMC research notes · 2025Article
- Dynamical analysis of fractional hepatitis B model with Gaussian uncertainties using extended residual power series algorithm.Scientific reports · 2025Article
- Reducing transmission in multiple settings is required to eliminate the risk of major Ebola outbreaks: a mathematical modelling study.Journal of the Royal Society, Interface · 2025Article
- Flip bifurcation analysis and mathematical modeling of cholera disease by taking control measures.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent global Coronavirus disease (COVID-19) threat to the human race requires research on preventing its reemergence without affecting socio-economic factors. This study proposes a fractional-order mathematical model to analyze the impact of high-risk quarantine and vaccination on COVID-19 transmission. The proposed model is used to analyze real-life COVID-19 data to develop and analyze the solutions and their feasibilities. Numerical simulations study the high-risk quarantine and vaccination strategies and show that both strategies effectively reduce the virus prevalence, but their combined application is more effective. We also demonstrate that their effectiveness varies with the volatile rate of change in the system's distribution. The results are analyzed using Caputo fractional order and presented graphically and extensively analyzed to highlight potent ways of curbing the virus.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.