R package to estimate disease severity and under-reporting in real-time, accounting for reporting delays in epidemic time-series
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Updated
May 29, 2024 - R
R package to estimate disease severity and under-reporting in real-time, accounting for reporting delays in epidemic time-series
R package to calculate the final size of an SIR epidemic in populations with heterogeneity in social contacts and disease susceptibility
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
[Under active development] - A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
Methods for simulating and analysing the sizes and lengths of chains from branching process models
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
[Computer Modeling] SIR/SIRS/SIRQ/ISIR/SEIR compartmental models for numerical epidemic modelling in MATLAB.
[Under active development] Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
Collection of epidemic models. Includes ODEs, stochastic and complex networks, with non-markovian distributions (Erlang type).
DeepAR implementation for seasonal influenza cases in German districts
Worker of prediksicovidjatim
The map of prediksicovidjatim, built with Arcgis Wep Appbuilder Developer Edition.
The core library of prediksicovidjatim
A HTML/JavaScript simulator for an epidemc on a population
Epidemic Models. Bayesian Estimation (MCMC) of Change-Points in COVID-19 Reported Cases in 3 European Countries
Repository for my MSc Thesis `A Web Application for Compartmental Network Models Illustrated Using COVID-19'
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