1 citations · 2 across the 5 of their papers we have counts for
6 papers
A multi-scale immuno-epidemiological behavioral model for influenza-like illness: connecting scales through symptom scores
Binod Pant, Summer Atkins, Necibe Tuncer +1
For many infectious diseases, behavior change is not a population-level reaction to rising case counts, but a personal one, triggered by how sick an individual feels. Yet most mode…
A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl
Yuganthi R. Liyanage, Omar Saucedo, Necibe Tuncer +1
Structural identifiability is the theoretical ability to uniquely recover model parameters from ideal, noise-free data and is a prerequisite for reliable parameter estimation in ep…
Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting
Yuganthi R. Liyanage, Gerardo Chowell, Gleb Pogudin +1
Phenomenological models are highly effective tools for forecasting disease dynamics using real world data, particularly in scenarios where detailed knowledge of disease mechanisms…
Structural identifiability analysis of epidemic models based on differential equations: A tutorial-based primer
Gerardo Chowell, Sushma Dahal, Yuganthi R. Liyanage +2
The successful application of epidemic models hinges on our ability to estimate model parameters from limited observations reliably. An often-overlooked step before estimating mode…
Finite Element Approximation of Invariant Manifolds by the Parameterization Method
Jorge Gonzalez, J. D Mireles-James, Necibe Tuncer
We combine the parameterization method for invariant manifolds with the finite element method for elliptic PDEs,to obtain a new computational framework for high order approximation…
Sensitivity analysis in an Immuno-Epidemiological Vector-Host Model
Hayriye Gulbudak, Zhuolin Qu, Fabio Milner +1
Sensitivity Analysis (SA) is a useful tool to measure the impact of changes in model parameters on the infection dynamics, particularly to quantify the expected efficacy of disease…