Evidence map›Paper›PMID 40781679›Full record

ArticleBMC infectious diseases2025

Mathematical modeling of dengue virus transmission: exploring vector, vertical, and sexual pathways with sensitivity and bifurcation analysis.

Queeneth Ojoma Ahman, Remigius Okeke Aja, David Omale, Patrick Agwu Okpara

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. 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.

Queeneth Ojoma AhmanDepartment of Mathematics/Statistics, Confluence University of Science and Technology, Osara, Nigeria. ahmanqo@custech.edu.ng.
Remigius Okeke AjaDepartment of Mathematics, Micheal Okpara University of Agriculture, Umudike, Nigeria.
David OmaleDepartment of Mathematics, Prince Abubarka Audu University, Anyigba, Nigeria.
Patrick Agwu OkparaDepartment of Industrial Mathematics and Health Statistics, David Umahi Federal University of Health Sciences, Uburu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue virus (DENV) remains a critical global health threat, particularly in tropical and subtropical regions. Traditional models primarily focus on mosquito-borne transmission, overlooking alternative pathways such as vertical and sexual transmission. This study develops a comprehensive mathematical model that integrates multiple transmission routes to improve understanding of dengue dynamics and inform effective control strategies.

methodsWe develop a compartmental SEIR-based model that captures dengue virus transmission through mosquito vectors, vertical (transovarial), and sexual routes. The model undergoes rigorous mathematical analysis to derive equilibrium points and assess their stability. Both local and global sensitivity analyses are performed to identify key drivers of disease dynamics. Additionally, the model is calibrated using weekly dengue incidence data from Delhi, India, to validate its predictive capacity.

resultsThe sensitivity analysis identifies the most influential parameters driving transmission. Although the human-to-human contact rate (sexual transmission) has a high sensitivity index, the actual contribution of sexual transmission to the basic reproduction number ([Formula: see text]) is biologically negligible—approximately 0.01704 out of a total [Formula: see text] of 0.02, i.e., less than 1%. In contrast, mosquito-borne transmission remains the dominant route. The vaccination rate exhibits a negative sensitivity index, indicating its suppressive impact on disease spread. Numerical simulations reveal that dengue can persist even when [Formula: see text], indicating backward bifurcation, which necessitates enhanced intervention strategies beyond just reducing [Formula: see text].

conclusionThe model reveals that dengue can persist even when [Formula: see text], due to backward bifurcation. Although sexual transmission contributes less than 1% to [Formula: see text] under current estimates, vector control and vaccination remain the most critical strategies. Incorporating climate and mobility dynamics in future studies can further enhance model accuracy and policy relevance.

Indexed as

DengueDengue VirusModels, TheoreticalMosquito VectorsAedesAnimalsBasic Reproduction NumberFemaleHumansIndiaInfectious Disease Transmission, VerticalDengue intervention strategiesEpidemiological modelingHuman-to-human transmissionMosquito-to-mosquito transmissionVector-borne infections

Identifiers

PMID40781679
PMCPMC12333153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.