1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…