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

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

A SEIRD epidemiological compartmental model for simulating COVID-19.

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

No description provided.

Structured SIRVD models for exploring vaccination rollout strategies.

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

Python individual-level SIRD model for studying vaccination prioritization

Qt application to simulate infection spreading

Modelling epidemic curve with SIRD model.

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

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

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

Simulador interactivo de virus con estética 'Paper-Cut' dibujada a mano. Backend matemático SIRD en Python conectado vía REST API a un mapa dinámico en Leaflet JS. Sin frameworks pesados, lógica pura