Data driven simulations of infectious diseases: Exploring facial recognition approach in predicting the infection severity
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Updated
Mar 15, 2022 - JavaScript
Data driven simulations of infectious diseases: Exploring facial recognition approach in predicting the infection severity
Code for the paper: Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach
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
Foundational functions and algorithms for the spatialEpisim Shiny ✨ R application.
Final project for Pf. Hyman's epidemic modeling course Fall 2020
Simulation of COVID-19 cases arising from high-risk contacts
Compare disease transmission in a social network with universal mixing
libreMCM (libre Multi Compartment Modelling) is a free software for carrying out deterministic and probabilistic modelling.
HIV mdelling project on intersections of risk (FSW) & intervention (ART) heterogeneity based on Eswatini
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
Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis
📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.
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.
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
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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