Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
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Updated
Mar 9, 2023 - Python
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Epidemiology analysis package
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.
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Info/Data (global/italy) about COVID-19. PR welcome for other countries.
🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org
Game theoretical modelling of COVID-19 vaccine adoption
Network data analysis using networkx, and gephi for visualisations.
Influenza-like illness prediction model
Data analysis and modeling of the COVID-19 propagation dynamics
CovidSIM Agent-Based Model
Epidemiological project to visualize the status of COVID-19 in Sergipe (Brazil)
An epidemic stimulator, developed and built by brute force to learn more on biological systems.
A ecological time series study about syphilis in the city of Juiz de Fora, in Brazil
A short EDA project on the results of a fictional trial of a HbA1c2 treatment. Written in R with tidyverse, table1, and other packages.
Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.
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).
Make your epidemiological research reproducible
Projeto de machine learning para predição de taxas de internação por CSAB e clusterização para dimensionamento de ESF.
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
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