COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
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Updated
Sep 15, 2022 - Python
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
Simulate a pandemic with artificial life objects.
distributed pandemics simulator, uses the power of spark to generate huge bulks of contact-tracing data.
An online simulator of the evolution of the covid-19
The new way to prevent the next big pandemic
Network data analysis using networkx, and gephi for visualisations.
Прогнозы COVID-19, объяснённые на игровых симуляциях
small contamination simulation written with Godot
A graphical pandemic simulation i wrote for my coding exam.
This repository contains implementation of some mathematical models to simulate and forecast pandemic outbreaks. It is a project for my programming exam, but I count to keep it updated after the exam is done.
VirSim: a simulation tool for the spread of a Virus within a population
Application simulating the spread of COVID-19
A basic simulation of a pandemic.
This repository contains all the work I have done in Network-Analysis.
Exercises and assignments for Scientific Software course at KU Leuven winter 20/21
Projects from the course Network Dynamics and Learning Course @ PoliTo yy 2021/22, prof. Fagnani, graph modeling of pandemic.
Interactive program to plot SIR-model with various extensions.
Genetic policy optimiser for specific environments using cellular automata
Solves initial value problem of SIQRD equations. Optimizes coefficients of this pandemic model, so that simualtions match observed. Implements three IVP schemes and two gradient optimization methods with line search using Wolfe conditions.
This repository studies the pandemic spread on the flight network using network science techniques. It identifies key airports that are critical for controlling the spread of a disease and uses a spreading simulator to illustrate disease spread. The report aims to inform the design of effective intervention strategies for future outbreaks.
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