afvillaverde/Local-Global-Identifiability

Models for analysing the global/local properties

Local-Global-Models

Models for analysing the global/local properties

Percentage of identifiable parameters:

List of Models

The models are classified according to the original publication:

DOI: 10.1109/ACCESS.2023.0322000

The models are classified according to the source from where they were taken:

(1)

Taken from: Benchmarking tools for a priori identifiability analysis. 2023

• BIG

• C2M_a

• C2M_b

• Cholera

• Competition

• HIV1

• HIV2

• HIV3

• JAKSTAT1

• MAPK

• NFKB1

• NFKB2

• p53

• Phosphorylation

• PK1

• PK2

• Ruminal Lipolysis

• Tumor

(2)

Taken from: https://github.com/genssi-developer/GenSSI.git

• Bilirubin1

• Bilirubin2

• Cholesterol1

• Cholesterol2

• Degradation

• DegradationPoly

• Glycolysis

• HighDimNonLin

• PharmacokineticsPoly

• Thyroid1

• Transfection_2State

• Transfection_4State

• Transfection_4State_Transformation

(3)

Taken from: https://github.com/sedoglavic/ObservabilityTest.git

• A2006

• BF2004

• C1996

• Campbell2016

• CC1993

• CG1992

• CGV1990

• GRV1990

• Juricic_1

• KD1999

• L2003

• LLW1987

• MW2000

• R1986

• V1987

• Verhulst

• WSP1985

(4)

Taken from: https://github.com/alexeyovchinnikov/SIAN-Julia.git

• Biohydragenation

• ChemicalReactionNetwork

• DAISY_ex3

• DAISY_mamil3

• oralGlucose

• SEIR

• SEIR2

• SIR_R0

• SlowFast

• Treatment

(5)

Taken from: https://github.com/afvillaverde/strike-goldd.git

• 1A_integral

• 1B_prop_integral

• 1C_nonlinear

• 2DOF

• Bolie_A

• Bolie_B

• Bruno2016

• CR

• CSTR_observer

• FHN_observer

• Fujita

• Goodwin_observer

• NFKB_merkt

• Pitavastatin

• Vajda1989

(6)

Taken from: https://github.com/SciML/StructuralIdentifiability.jl.git

• Crauste

• Fujita

• Goodwin

• LV

• QWWC

• SEAIJRC

• SIAR

(7)

Taken from:

• SEIR: Identifiability of infection model parameters early in an epidemic, 2021

• SEUIR: Identifiability of infection model parameters early in an epidemic, 2021

• generalised Lokta-Volterra: Structural identifiability of the generalized Lotka–Volterra model for microbiome studies, 2021

• Phago cocktail: Optimizing the timing and composition of therapeutic phage cocktails: a control-theoretic approach, 2020

• gLV_QSMI Metabolite-mediated modelling of microbial community dynamics captures emergent behaviour more effectively than species–species modelling, 2019

• Compositional Lokta-Volterra: Compositional Lotka-Volterra describes microbial dynamics in the simplex, 2020

• Blood Coagulation: he kinetic model and simulation of blood coagulation—the kinetic influence of activated protein c, 2004

(8) Inmunology

• TCR triggering, Joao Sousa: A mathematical analysis of TCR serial triggering and down‐regulation, 2000

• TCR Bachmann: Formation of tcr dimers/trimers as a crucial step for t cell activation, 1998

• TumorHu2019: Modeling pancreatic cancer dynamics with immunotherapy, 2019

• TumorPillis2007: Optimal control of mixed immunotherapy and chemotherapy of tumors, 2007

• TumorGarcia2020: Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation: A mathematical and computational examination., 2020

• LeukaemiaLeon2021: CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models, 2021

(9) COVID

Taken from Structural identifiability and observability of compartmental models of the COVID-19 pandemic, 2021

• SEIR 1 Research about the optimal strategies for prevention and control of varicella outbreak in a school in a central city of China: based on an SEIR dynamic model, 2020

• SEIR 2 Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models, 2019

• SEIR 4 Mathematical Modeling of Epidemic Diseases; A Case Study of the COVID-19 Coronavirus, 2020

• SEIR 5 Mathematical Modeling of Epidemic Diseases; A Case Study of the COVID-19 Coronavirus, 2020

• SEIR 11 (https://github.com/ryansmcgee/seirsplus#model)

• SEIR 16 Why is it difficult to accurately predict the COVID-19 epidemic?, 2020

• SEIR 32 Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries, 2021

• SEIR 33 Construction of Compartmental Models for COVID-19 with Quarantine, Lockdown and Vaccine Interventions, 2020

• SEIR 34 Introduction to SEIR Models, 2017

• SEIR 36 ref (https://github.com/ryansmcgee/seirsplus/blob/master/docs/SEIRSplus_Model.pdf)

• SIR 6 Total variation regularization for compartmental epidemic models with time-varying dynamics, 2020

• SIR 19 A simple SIR model with a large set of asymptomatic infectives, 2020

• SIR 21 Why is it difficult to accurately predict the COVID-19 epidemic?, 2020

• SIR 22 Effects of quarantine in six endemic models for infectious diseases, 2002

• SIR 24 A mathematical model of epidemics with screening and variable infectivity, 1995