Evidence map›Paper›PMID 41832245›Full record

ArticleScientific reports2026

A mathematical approach to Chikungunya transmission dynamics incorporating media awareness and optimal control.

A Karthik, Mini Ghosh

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

A KarthikSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, 600 127, India.
Mini GhoshSchool of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, 600 127, India. minighosh@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A compartmental mathematical model was developed to examine the transmission dynamics of chikungunya, integrating media awareness and optimal control strategies. Both asymptomatic and symptomatic infectious categories, along with a media-induced awareness component, were incorporated to more precisely represent epidemiological dynamics. The model's positivity, boundedness, and stability characteristics were confirmed, and the basic reproduction number was calculated using the next-generation matrix method. Model calibration was conducted utilizing cumulative case data from India and high-burden states (Gujarat, Karnataka, and Maharashtra) through maximum likelihood estimation. Sensitivity analysis was performed, and transmission-related parameters, specifically the mosquito biting rate and infection probabilities were identified, as the most significant determinants of epidemic persistence. The system's threshold behavior was demonstrated through contour plots of [Formula: see text] with respect to different pairs of parameters and variations of parameters. A comprehensive control framework incorporating two time-dependent variables-minimization of human-mosquito interaction and augmentation of treatment-was formulated and examined utilizing Pontryagin's Maximum Principle. The optimal control result indicated that the simultaneous application of both controls was associated with the most significant decrease in symptomatic infections, while individual interventions also were found to provide quantifiable advantages. The findings emphasized the necessity of incorporating preventive measures, awareness enhancement, and improved treatment into region-specific chikungunya management strategies.

Indexed as

Chikungunya FeverModels, TheoreticalAnimalsBasic Reproduction NumberChikungunya virusHumansIndiaMosquito Vectors

Identifiers

PMID41832245
PMCPMC13121464

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LicenceCC BY-NC-ND
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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.