A Graph-Theoretic Framework for Zika Virus through Vertical Transmission and Stability Analysis.

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This paper develops a graph-theoretic framework to model human vertical Zika virus transmission, deriving the basic reproduction number and analyzing stability to understand disease spread and the impact of maternal interventions.

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This preprint develops a graph-theoretic compartment model of Zika virus vertical transmission, including maternal infection states and vertically infected newborns with microcephaly and asymptomatic infection. The dynamics are encoded as a weighted directed graph whose basic reproduction number (R0) is derived via an energy-based approach using the characteristic polynomial of the digraph, and local stability near the disease-free equilibrium is assessed through Jacobian analysis combined with Routh–Hurwitz and Gershgorin criteria. The authors emphasize that vertical transmission pathways strongly shape Zika spread dynamics and the threshold for invasion. The study is presented as a non–peer-reviewed preprint, with no additional explicit limitations stated in the provided text; This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract The Zika virus, a mosquito-borne pathogen, poses a serious global health threat due to its ability to transmit vertically from infected mothers to newborns, leading to congenital abnormalities and adverse neurological outcomes. A rigorous understanding of vertical transmission dynamics is therefore essential for effective disease prevention and control. In this study, a graph-theoretic framework is proposed to model the human vertical transmission of Zika virus, the birth of babies with microcephaly and asymptomatic infected individuals. The model explicitly incorporates maternal infection states and vertically infected newborn compartments, capturing the mother-to-child transmission pathway. The resulting system is represented as a weighted directed graph, where vertices correspond to epidemiological compartments and directed edges denote transition mechanisms between states. The basic reproduction number $R_0$ is derived using an energy-based approach applied to the characteristic polynomial associated with the digraph structure, providing an analytical threshold for disease invasion. Furthermore, the Jacobian matrix obtained directly from the digraph at the disease-free equilibrium (DFE) is analyzed to investigate local stability using the Routh--Hurwitz and Gershgorin criteria. The analytical results highlight the critical role of vertical transmission pathways in shaping the overall dynamics of Zika virus spread and underscore the importance of maternal-focused intervention strategies in mitigating congenital Zika outcomes.
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A Graph-Theoretic Framework for Zika Virus through Vertical Transmission and Stability Analysis. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Graph-Theoretic Framework for Zika Virus through Vertical Transmission and Stability Analysis. Renisa P, Sujitha S, Angel Jebitha M K This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9221185/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The Zika virus, a mosquito-borne pathogen, poses a serious global health threat due to its ability to transmit vertically from infected mothers to newborns, leading to congenital abnormalities and adverse neurological outcomes. A rigorous understanding of vertical transmission dynamics is therefore essential for effective disease prevention and control. In this study, a graph-theoretic framework is proposed to model the human vertical transmission of Zika virus, the birth of babies with microcephaly and asymptomatic infected individuals. The model explicitly incorporates maternal infection states and vertically infected newborn compartments, capturing the mother-to-child transmission pathway. The resulting system is represented as a weighted directed graph, where vertices correspond to epidemiological compartments and directed edges denote transition mechanisms between states. The basic reproduction number $R_0$ is derived using an energy-based approach applied to the characteristic polynomial associated with the digraph structure, providing an analytical threshold for disease invasion. Furthermore, the Jacobian matrix obtained directly from the digraph at the disease-free equilibrium (DFE) is analyzed to investigate local stability using the Routh--Hurwitz and Gershgorin criteria. The analytical results highlight the critical role of vertical transmission pathways in shaping the overall dynamics of Zika virus spread and underscore the importance of maternal-focused intervention strategies in mitigating congenital Zika outcomes. Zika virus vertical transmission newborn babies microcephaly basic reproduction number adjacency matrix energy disease-free equilibrium stability Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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