Evidence map›Paper›PMID 42336905›Full record

ArticleScientific reports2026

Fractional caputo modeling of delayed disease dynamics: sensitivity analysis and control strategies incorporating environmental influences.

Sushil Pathak, Venkata Ratnam Kota

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
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0citing papers in PubMed
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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

2 authors.

Sushil PathakNational Disease Modelling Consortium, Indian Institute of Technology Bombay, Powai, Mumbai, Maharashtra, 400076, India. p20210042@hyderabad.bits-pilani.ac.in.ORCID 0009-0008-4409-6151
Venkata Ratnam KotaDepartment of Mathematics, Birla Institute of Technology & Science-Pilani, Hyderabad Campus, Jawahar Nagar, Hyderabad, Telangana, 500078, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a fractional-order epidemic model incorporating Caputo derivatives and time delays to capture the environmental effects and incubation periods inherent in disease transmission dynamics. We analyzed the qualitative properties of the system, such as the existence, uniqueness, and boundedness of solutions, ensuring both mathematical consistency and biological relevance. The basic reproduction number is derived as a threshold parameter governing the stability of equilibria. Local and global stability analysis of the disease-free and endemic equilibria has been discussed, revealing conditions for disease eradication or persistence. Furthermore, sensitivity analysis is performed to identify the most influential parameters affecting the threshold parameter and transmission dynamics, providing valuable insights for designing effective control strategies. Numerical simulations are presented to illustrate and validate the analytical results.

Indexed as

Communicable DiseasesModels, TheoreticalBasic Reproduction NumberComputer SimulationEnvironmentHumansTime FactorsBasic reproduction numberEquilibriaFractional caputo derivativeNumerical resultsSensitivity analysisStability analysisTime-delays

Identifiers

PMID42336905
PMCPMC13354779

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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.