turnover in epidemic models: a unified framework and exploring the influence on model outputs
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Updated
Aug 5, 2020 - Python
turnover in epidemic models: a unified framework and exploring the influence on model outputs
Data driven simulations of infectious diseases: Exploring facial recognition approach in predicting the infection severity
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
scoping review of heterogeneity and mixing in dynamical models of HIV transmission [JK PhD]
📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.
libreMCM (libre Multi Compartment Modelling) is a free software for carrying out deterministic and probabilistic modelling.
Final project for Pf. Hyman's epidemic modeling course Fall 2020
Simulation of COVID-19 cases arising from high-risk contacts
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
COVID-19: Modeling In-Host Viral and Innate Immune System Dynamics
HIV mdelling project on intersections of risk (FSW) & intervention (ART) heterogeneity based on Eswatini
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.
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…
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