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
Jun 10, 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
[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.
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
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.
[Under active development] Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
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.
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
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
Worker of prediksicovidjatim
The map of prediksicovidjatim, built with Arcgis Wep Appbuilder Developer Edition.
The core library of prediksicovidjatim
Repository for my MSc Thesis `A Web Application for Compartmental Network Models Illustrated Using COVID-19'
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