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.

SIR F Model for COVID19 Pandemic in India

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

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.

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

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