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.

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.

[Not published - 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).

Epidemic visualization; Language: R.

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

The core library of prediksicovidjatim

Worker of prediksicovidjatim

The map of prediksicovidjatim, built with Arcgis Wep Appbuilder Developer Edition.

Repository for my MSc Thesis `A Web Application for Compartmental Network Models Illustrated Using COVID-19'