Na tomto úložišti můžeme najít kód, který byl naprogramován k Středoškolské odborné činnost - Využití p-adických čísel v modelování šíření epidemie - Hronová Anna.
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Updated
Feb 26, 2023 - Python
Na tomto úložišti můžeme najít kód, který byl naprogramován k Středoškolské odborné činnost - Využití p-adických čísel v modelování šíření epidemie - Hronová Anna.
Using the SIR model to predict COVID-19 infection patterns. It is a compartmental model with the variables S, I and R for the number of susceptible, infectious and resistant individuals, respectively.
A basic SIR model to improve my understanding on the subject.
This is a COVID-19 spread Simulation created in march 2020 using the NewYork Covid-19 death rate at that time as the infection rate and was mapped onto a 1000x1000 grid due to lack of computational resources.
Algoritmo para a geração de gráficos do modelo epidemiológico SIR.
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
This python application takes the information from the spread of COVID-19 in the US and determines the effectiveness of the Stay At Home Orders for each state. To analyze the effectiveness, I used a cubic least square polynomial and the SIR model and compared these two models before and after date the stay at home orders were issued.
Эпидемиологическая модель на языке Python. Порт https://github.com/neherlab/covid19_scenarios
"Brownian-CA-Infection" is a Math Model of Infection based on CA and SIR.
Epidemic model for Covid-19 retrospective
This repository contains the code for the blog post on The SIR model: A mathematical approach to epidemic dynamics. For further details, please refer to this post.
An application of PINN to SIR modeling
We use probabilistic programming (PyMC3) to roughly estimate 'R_0' and 'lambda_0' directly from pandemic infection data.
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Educational tool that aims to provide an easy way of interacting with the basic epidemiological model SIR. Can also show how it would interact with the basic idea of vaccinations and an idea of losing immunity over time (second wave of infections).
repository per codici per il corso di introduzione alla teoria bayesiana della probabilità
Code for SIR metapopulation model with perimeter lockdowns for Madrid, Spain
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