Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
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Updated
Jun 8, 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
Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.
Epidemiologic Compartmental Modeling Monad in R
An AutoML framework designed for epidemiological forecasting
Interactive agent-based epidemic simulator built with Dash and NumPy. Supports real-world and fictional disease presets, quarantine modeling, and live SEIRD curve tracking.
Welcome to the repository for an epidemic modelling project !
[UNDER DEVELOPMENT] Julia package translating the R package daedalus fo projecting health, social, and economic costs of a pandemic.
COVID-19 Case Modelling in Julia completed as part of the MIT Math 6S083 Course.
A visual tool (HTML / Javascript) to interact with compartmental models like SIR and SEIR
This work develops a SEIHM-R-D model explicitly distinguishing hospitalised (H) from home-care (M) patients, with differential infectiousness and bidirectional transitions between care settings.
Supporting data and code for manuscript titled 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'.
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).
Python codes used for analyzing large datasets for machine learning, statistics, data cleaning and structuring, visualizations, etc.
Integrated framework for early detection of emerging SARS-CoV-2 variants using genetic distance–based clustering, deep learning dominance prediction, and epidemiological impact modeling.
An interactive web-based visualization of the SEIRS epidemiological model for understanding disease spread dynamics.
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