networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools

A SEIRD epidemiological compartmental model for simulating COVID-19.

This is the implementation for our paper about an explainable artificial model for COVID-19 forecasting.

Study of the COVID-19 epidemic in Cameroon using a SIRD model with population birth and death rates.

Master thesis for the MSc in Data Science and Economics at Università degli Studi di Milano

A study on the statistical measurement of China's modernization based on the electric vehicle industry chain development

Python individual-level SIRD model for studying vaccination prioritization

This project aims to incorporate SIRD dynamics with machine learning techniques to make long term predictions of the spread of COVID-19.

Qt application to simulate infection spreading

Structured SIRVD models for exploring vaccination rollout strategies.

Modelling epidemic curve with SIRD model.

This project uses the SIRD model (Susceptible, Infected, Recovered, Deceased) to simulate the spread of a disease through a population and returns a graphical representation of the results.

Deployed the SIRD Model to track the progression of a disease outbreak. Implemented a Markov Chain Monte Carlo model to analyze disease progression.

SIR F Model for COVID19 Pandemic in India

Compartmental models used to predict COVID-19 in Italy at provincial level

Analysis Spreading COVID-19 in Japan Using Stochastic Differential Evolution’s Method