The dynamic of covid-19 epidemic model with a convex incidence rate is studied in this article. First, we formulate the model without control and study all the basic properties and results including local and global stability. We show the global stability of disease free equilibrium using the method of Lyapunov function theory while for disease endemic, we use the method of geometrical approach. Furthermore, we develop a model with suitable optimal control strategies. Our aim is to minimize the infection in the host population. In order to do this, we use two control variables. Moreover, sensitivity analysis complemented by simulations are performed to determine how changes in parameters affect the dynamical behavior of the system. Taking into account the central manifold theory the bifurcation analysis is also incorporated. The numerical simulations are performed in order to show the feasibility of the control strategy and effectiveness of the theoretical results.
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http://dx.doi.org/10.1016/j.rinp.2020.103703 | DOI Listing |
J Biomater Sci Polym Ed
January 2025
Department of Microbiology, University of Central Punjab, Lahore, Pakistan.
Infected burn wounds present significant clinical challenges due to delayed healing and risk of infection, necessitating advanced treatments that offer both antimicrobial and regenerative properties. This study aimed to develop and evaluate multifunctional electrospun nanofiber films incorporating rhamnose (as an angiogenic agent) and therapeutic agents, namely fluticasone, mupirocin, ciprofloxacin, and silver sulfadiazine, for the enhanced healing of infected burn wounds. Nanofibers containing rhamnose, polyacrylonitrile, polyvinyl alcohol and therapeutic agents were fabricated electrospinning.
View Article and Find Full Text PDFXi Bao Yu Fen Zi Mian Yi Xue Za Zhi
January 2025
National Key Laboratory of Bioreactors, School of Biological Engineering, East China University of Science and Technology, Shanghai 200237, China. *Corresponding author, E-mail:
BMC Oral Health
January 2025
Sub-Institute of Public Safety Standardization, China National Institute of Standardization, No.4 Zhichun Road, Haidian District, Beijing, 100191, PR China.
Background: This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient's personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications.
Methods: Relevant articles were searched to identify risk factors. Clinical knowledge and experience were used to analyse the risk factors to establish the Bayesian network.
Mikrochim Acta
January 2025
Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Integrated Circuits, Taiyuan University of Technology, Taiyuan, 030024, China.
African swine fever (ASF) is an acute hemorrhagic disease in pigs caused by the African swine fever virus (ASFV), which has a high mortality rate and brought great damage to global pig farming industry. At present, there is no effective treatment or vaccine to combat ASFV infection, so early detection of ASFV has become particularly important. Therefore, the PDMS/chitosan/MPMs composite film was proposed to detect ASFV P72.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopaedics, Traditional Chinese Medical Hospital of Gansu Province, Qilihe District, Guazhou Street 418, Lanzhou, 730050,, Gansu, China.
Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradual erosion of articular cartilage. This study aimed to develop and validate biomarker-based predictive models for KOA diagnosis using machine learning techniques. Clinical data from 2594 samples were obtained and stratified into training and validation datasets in a 7:3 ratio.
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