Modelling the disease spread

Simulate a pandemic with artificial life objects.

COVID-19 Tracing

Source code for the EpiEstim app.

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

A virus simulation for pandemics based on the SIR-network concept.

Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person

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.

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

The very first corona virus tracker for Algeria - Deployed at 09 March 2020

Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.

Simulating the effect of social distancing on disease spread through a population graph.

Disease spreading simulation of the SIR model

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

api dedicated to serve Coronavirus data

Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.

Connecting mosquito abundance to dengue fever through mechanistic modeling

Graph based epidemic simulations.