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Traditionally, disease spread is attributed to direct individual contact. However, various mechanisms influence transmission. This paper formulates a delay-induced reaction-diffusion system where predators significantly contribute to disease spread in prey populations. Theoretical analyses include boundedness, equilibrium existence and stability, Turing bifurcation, Turing instability, and Hopf bifurcation. Species exhibit both spatially homogeneous and heterogeneous distributions. Predators accelerate disease transmission, hindering species coexistence. A positive Lyapunov exponent confirms chaotic attractors, while random species movement destabilizes the system due to predator influence. In contrast, prey movement remains stable without predators. Increasing infectious delay shifts the system from oscillatory to stable dynamics, and a specific delay controls homogeneous periodic behavior. Thus, time delay has both stabilizing and destabilizing effects. Moreover, healthy prey cannot persist if disease transmission surpasses infected prey mortality in the absence of predators. The study suggests that predator-mediated disease spread, control strategy, complexities, and chaotic behavior can provide deeper insights to understand the complexity of the system in the presence of delay and diffusion.
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http://dx.doi.org/10.1007/s12064-025-00442-x | DOI Listing |
BMC Public Health
September 2025
Department of Mathematics, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Gottlieb-Daimler-Str.48, Kaiserslautern, 67663, Germany.
We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19.
View Article and Find Full Text PDFOphthalmic Plast Reconstr Surg
September 2025
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, U.S.A.
This study aimed to report clinical outcomes of topical chemotherapy for ocular adnexal sebaceous carcinoma (OaSC) with intraepithelial spread. A retrospective chart review of patients with OaSC treated at the Bascom Palmer Eye Institute between 2000 and 2023 was conducted. Patient inclusion criteria included: (1) biopsy-proven diagnosis of OaSC, (2) intraepithelial pagetoid involvement confirmed by conjunctival map biopsy, (3) implementation of topical chemotherapy for tumor control, and (4) repeat conjunctival map biopsy following cessation of topical chemotherapy.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Artificial Intelligence and Mathematical Modeling Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Background: The H5N1 avian influenza A virus represents a serious threat to both animal and human health, with the potential to escalate into a global pandemic. Effective monitoring of social media during H5N1 avian influenza outbreaks could potentially offer critical insights to guide public health strategies. Social media platforms like Reddit, with their diverse and region-specific communities, provide a rich source of data that can reveal collective attitudes, concerns, and behavioral trends in real time.
View Article and Find Full Text PDFJ R Soc Interface
September 2025
UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire, UK.
Severe fever with thrombocytopaenia syndrome virus (SFTSV) was identified by the World Health Organization as a priority pathogen due to its high case-fatality rate in humans and rapid spread. It is maintained in nature through three transmission pathways: systemic, non-systemic and transovarial. Understanding the relative contributions of these transmission pathways is crucial for developing evidence-informed public health interventions to reduce its spillover risks to humans.
View Article and Find Full Text PDFComput Biol Chem
September 2025
School of Mathematics, Statistics and Computer Science, Durban 4000, KwaZulu-Natal, South Africa; National Institute for Theoretical and Computational Sciences, NITheCS, South Africa. Electronic address:
Food insecurity and the spread of infectious disease are among the two major problems facing the world today especially in poor rural communities. Unfortunately, these two problems are related as many poor rural communities with food insecurity issues are also endemic to some food and waterborne diseases. A mathematical model that takes into consideration the major factors affecting food insecurity and disease is developed and used to analyse the problems.
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