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Epidemic simulation models of complex network.
Stochastic Cellular Automata epidemic models in Python with 2D simulations
A general framework for quick epidemiological ABM models
Python code to analyze data and predict Covid-19 infection
#计算机科学#Official PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022
Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model
Provides classes to simulate epidemics on (potentially time-varying) networks using a Gillespie stochastic simulation algorithm or the classic agent based method.
#学习与技能提升#This repository is meant as a facilitator for all those who want to learn agent based disease modelling using the mesa framework in python. When I started out, there were too few examples for this on ...
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Uses Markov chain Monte Carlo to estimate the parameters of an SIR model with COVID-19 data
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.
#计算机科学#I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitte...
#计算机科学#The purpose of this GitHub repository is to furnish the source code corresponding to the research paper authored by me. The repository is designed to facilitate the verification of results by users wh...
Contains functions to simulate data from and fit SIR multievent models
Explore strategies of social distancing on epidemic w/ SIR model and R - from Gandon, Lion, Day
Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.