Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
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Updated
Mar 2, 2026 - R
Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
Genomic Epidemiology of SARS-CoV-2 in Pakistan
Epidemiologic Compartmental Modeling Monad in R
Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.
An AutoML framework designed for epidemiological forecasting
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).
A visual tool (HTML / Javascript) to interact with compartmental models like SIR and SEIR
Python codes used for analyzing large datasets for machine learning, statistics, data cleaning and structuring, visualizations, etc.
Supporting data and code for manuscript titled 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'.
Welcome to the repository for an epidemic modelling project !
COVID-19 Case Modelling in Julia completed as part of the MIT Math 6S083 Course.
[UNDER DEVELOPMENT] Julia package translating the R package daedalus fo projecting health, social, and economic costs of a pandemic.
An interactive web-based visualization of the SEIRS epidemiological model for understanding disease spread dynamics.
Integrated framework for early detection of emerging SARS-CoV-2 variants using genetic distance–based clustering, deep learning dominance prediction, and epidemiological impact modeling.
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