compartmental-model

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Ran…

CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR

PyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR) model of infectious diseases.

📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.

A Python library for automated PK/PD ODE model identification from concentration–time data. Selects the compartmental structure, estimates parameters, and flags identifiability problems; no model specification or starting values required.

Experiments with the BEAST 2 software

scoping review of heterogeneity and mixing in dynamical models of HIV transmission [JK PhD]

A Basic Compartmental Epidemic Modelling API

COVID-19: Modeling In-Host Viral and Innate Immune System Dynamics

RAIR-Sim: MATLAB compartmental simulator of radioactive iodine (RAI) therapy response in metastatic thyroid cancer (activity decay, tumor growth, thyroglobulin kinetics). Fork of MarieFG49/CTD_SIMU_RAI with documentation, citation metadata, and a bug fix (missing .m extension on the main simulator).

Docker and Apptainer setup for the BEAST 2 software

Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis

Compare disease transmission in a social network with universal mixing

Throwback to 2020: Epidemic model with vaccination, mitigation, and seasonal effects

Simulates distinct learning dynamics and synaptic stability, highlighting the role of axon-carrying dendrites (AcD) in memory consolidation under inhibitory conditions.

Data driven simulations of infectious diseases: Exploring facial recognition approach in predicting the infection severity

turnover in epidemic models: a unified framework and exploring the influence on model outputs

Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils

Code for generating all the results presented in the study "Adult dengue vaccination in a low transmission setting: A modelling study in Singapore"

Foundational functions and algorithms for the spatialEpisim Shiny ✨ R application.