BioDynaMo is a high-performance and modular, agent-based simulation platform.
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Updated
May 27, 2024 - C++
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Source files for building the IDM EMOD disease transmission model.
Epidemiological agent-based modelling packages in both python and C++. Published at: https://doi.org/10.5334/jors.449.
PhD thesis submitted to the University of Bristol. Title: Modelling BCG vaccination in the UK: What is the impact of changing policy?
PoPS Core: C++ library for the Pest or Pathogen Spread Model
Rcpp package providing an individual-based model to simulate the evolution of movement strategies under risk of pathogen spread.
Solve and display SIR epidemiological models.
Supporting data and code for manuscript titled 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'.
Simulation of an epidemy based on the SIR model. The project was developed for the 'Computer Programming in Physics' course at the University of Bologna
Fitting a stochastic individual based model for arboviral disease.
Simulation code for a Non-Markovian epidemic spread
Implements Synergistic Antagonistic Interaction Detection (SAID) for modeling interactions between health effects of exposures.
An attempt at modelling the spread of measles in secondary schools using an ABM method.
A Generic Model to Simulate Air-Borne Diseases as a Function of Crop Architecture (doi:10.1371/journal.pone.0049406)
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