Modelling the disease spread
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Updated
Sep 9, 2024 - Jupyter Notebook
Modelling the disease spread
Simulate a pandemic with artificial life objects.
Source code for the EpiEstim app.
COVID-19 Tracing
Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
Python package to simulate a vast range of transmission processes on various structures
Simulating the effect of social distancing on disease spread through a population graph.
A virus simulation for pandemics based on the SIR-network concept.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
A simple disease spread simulation in p5.js
A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.
Intelligent disease monitoring system using GIS using many Neural Network (LSTM , Conv1D , GRU , Elman , back probagation ) for forcasting future Covid-19 cases and appeare geography spread of it on the map
Python disease spreading and visualisation
QGIS/Inkscape project files and data for Wikimedia Commons File:Saskatchewan COVID-19 Infection Rates.svg
✔️ Disease spread simulation with cellular automaton
A Model To Simulate Diseases on a Network Structure
Final Project for a Mathematical Biology course
Graph based epidemic simulations.
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