Now showing items 1-9 of 9
Modeling and optimal control of dengue disease with screening and information
This study presents a mathematical model for dengue transmission which quantifies two very important aspects: one, the impact of information-based behavioural response, and the other, the segregation of infected human ...
The role of mild and asymptomatic infections on COVID-19 vaccines performance: A modeling study
Introduction: Different COVID-19 vaccine efficacies are reported, with remarkable effectiveness against severe disease. The so called sterilizing immunity, occurring when vaccinated individuals cannot transmit the virus, ...
Modeling dengue immune responses mediated by antibodies: A qualitative study
Dengue fever is a viral mosquito-borne infection and a major international public health concern. With 2.5 billion people at risk of acquiring the infection around the world, disease severity is influenced by the immunological ...
Critical fluctuations in epidemic models explain COVID‑19 post‑lockdown dynamics
As the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. The momentary reproduction ratio r(t) of an ...
A space-fractional bidomain framework for cardiac electrophysiology: 1D alternans dynamics
Cardiac electrophysiology modeling deals with a complex network of excitable cells forming an intricate syncytium: the heart. The electrical activity of the heart shows recurrent spatial patterns of activation, known as ...
What is life? A perspective of the mathematical kinetic theory of active particles
The modeling of living systems composed of many interacting entities is treated in this paper with the aim of describing their collective behaviors. The mathematical approach is developed within the general framework of ...
A multiscale network-based model of contagion dynamics: heterogeneity, spatial distancing and vaccination
Lockdown and vaccination policies have been the major concern in the last year in order to contain the SARS-CoV-2 infection during the COVID-19 pandemic. In this paper we present a model able to evaluate alternative lockdown ...
Mathematical models for glioma growth and migration inside the brain
Gliomas are the most prevalent, aggressive, and invasive subtype of primary brain tumors, characterized by rapid cell proliferation and great infiltration capacity. De- spite the advances of clinical research, these tumors ...
Systematic Characterization of High-Power Short-Duration Ablation: Insight From an Advanced Virtual Model
High-power short-duration (HPSD) recently emerged as a new approach to radiofrequency (RF) catheter ablation. However, basic and clinical data supporting its effectiveness and safety is still scarce