Evidence map›Paper›PMID 41398247›Full record

ArticleBMC public health2025

Mathematical modeling and analysis of a sex-structured syphilis model with control measures.

Renfei Luo, Agbata Benedict Celestine, Mehmet Gümüş, Obeng-Denteh William, Homan Emadifar, Aseel Smerat, A K Awasthi

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Renfei LuoGuangdong University of Finance and Economics, Guangdong, China.
Agbata Benedict CelestineDepartment of Mathematics and Statistics, Faculty of Science, Confluence University of Science and Technology, Osara-Okene, Nigeria.
Mehmet GümüşZonguldak Bulent Ecevit University Faculty of Science Department of Mathematics, Zonguldak, 67100, Türkiye.
Obeng-Denteh WilliamDepartment of Mathematics, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Homan EmadifarDepartment of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, 602 105, India. homan_emadi@yahoo.com.
Aseel SmeratFaculty of Educational Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan.
A K AwasthiDepartment of Mathematics, School of Chemical Engineering and Physical Sciences, Lovely Professional University, Phagwara, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syphilis remains a significant global public health challenge, with over seven million new adult infections each year despite the availability of effective treatment. Its continued persistence, particularly among high-risk and underserved populations, highlights the need for robust analytical models to understand transmission dynamics and inform targeted control strategies. This study presents a novel sex-structured compartmental model that captures the biological and behavioral complexity of syphilis transmission, incorporating multiple infection stages (primary, secondary, and latent), gender-specific progression, treatment, natural recovery, and reinfection. The population is stratified by sex and disease stage, allowing detailed analysis of transmission pathways between males and females. We established the positivity and boundedness of model solutions and derived the basic reproduction number ([Formula: see text]) using the next-generation matrix approach. Stability analysis showed that the disease-free equilibrium is locally asymptotically stable when ([Formula: see text]). Notably, the model exhibits backward bifurcation, indicating that reducing [Formula: see text] below unity may not guarantee disease elimination. Sensitivity analysis using Latin Hypercube Sampling and Partial Rank Correlation Coefficients identified transmission probabilities as the most influential parameters sustaining infection, while treatment and recovery rates substantially reduced transmission. Numerical simulations demonstrated that integrated control strategies combining early diagnosis, treatment coverage above 85%, partner notification, and behavioral interventions can reduce syphilis prevalence by up to 80%. The study presents a comprehensive and biologically realistic modeling framework that enhances understanding of syphilis dynamics. The findings provide actionable insights for public health policy, emphasizing that multifaceted, gender-inclusive interventions are essential for achieving sustained control and eventual elimination of syphilis.

Indexed as

Models, TheoreticalSyphilisAdultBasic Reproduction NumberFemaleHumansMaleSex FactorsBifurcation analysisNumerical simulationsReproduction number AnalysisSensitivity analysisSex-structured model

Identifiers

PMID41398247
PMCPMC12821269

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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.