Evidence map›Paper›PMID 41935139›Full record

ArticleScientific reports2026

Mathematical modeling and analysis of the Dengue and Chikungunya co-infection.

Akidul Haque, Rafiqul Islam

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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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

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5 · Who and what money

Authors and funding

2 authors.

Akidul HaqueDepartment of Mathematics, University of Louisville, Louisville, 40208, KY, USA.
Rafiqul IslamDepartment of Mathematics, University of Louisville, Louisville, 40208, KY, USA. rafiqulislam@math.kuet.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Aedes aegypti mosquito is the primary vector for the transmission of Dengue and Chikungunya viruses. Initially identical signs and symptoms of these infections in all cases make disease diagnosis exceedingly challenging. This paper aims to develop a mathematical model, and explore it through stability, bifurcation analysis and Herd Immunity Threshold (HIT) to describe the dynamic transmission, their co-infection and control of these two diseases. First we analyze the biological feasibility of the proposed model and examine the existence and stability of the different equilibrium points in relation to the basic reproduction number, [Formula: see text]. The model exhibits Transcritical bifurcation at the disease-free equilibrium (DFE), which has been investigated using Sotomayor’s theorem. Furthermore, the stability of the co-infected endemic equilibrium is established through the Center manifold theorem. A normalized sensitivity analysis has been performed to identify the most influential parameters that most significantly reduce disease transmission dynamics. The proposed model is calibrated and validated with reported case data from the 2023 Brazil outbreak, and HIT is applied as a prospective control strategy. The model analysis suggests that, under the calibrated 2023 Brazil parameter setting, achieving an effective protection level of approximately [Formula: see text] through interventions such as treatment, vector control, or social awareness, may substantially reduce disease transmission intensity and overall disease burden.

Indexed as

Chikungunya FeverCoinfectionDengueModels, TheoreticalAedesAnimalsBrazilChikungunya virusDengue VirusDisease OutbreaksHumansMosquito VectorsBifurcation behaviorChikungunyaCo-infectionControlDengueSeasonal variationSensitivity analysis

Identifiers

PMID41935139
PMCPMC13213060

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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.