Generalized SEIR Epidemic Model (fitting and computation)

Simple SEIR model Python script for the COVID-19 pandemic with real world data comparison.

COVID-19 infectious forecasting using SEIR model and R0 estimation

"Life simulation" of a SEIR inspired model to better understand pandemic using python

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

Analysis of the COVID19 outbreak in Brazil mainly through epidemic and hospitalization models, by the Health Analytics and Prospera consulting business units of Funcional Heatlh Tech.

A general framework for quick epidemiological ABM models

A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.

Agent based model for epidemics based on the SEIR system.

Model COVID-19 spreading via dynamic SEIR model

SEIR epidemic model

Python module for COVID-19 exponential growth modelling and dynamics modelling by using user-defined SEIR(D) compartmental system.

MEME: Mathematical Epidemiological Model using Eovolution algorithmn for the COVID-19 virus 针对2020年初武汉市的基于遗传算法的新冠病毒感染发展预测模型

COVID prediction and simulation based on mobility data in federated environment

Workshop Website

SEIR Model in JavaScript

The following files are the codes used in the paper Transmission dynamics and baseline epidemiological parameter estimates of Coronavirus disease 2019 (COVID-19) pre-vaccination: Davao City, Philippines

A prediction of the number of COVID-19 infections during a fully-open (no preventative measures) semester for the University of Virginia using the SEIR model.

An adapted SEIR model which accounts for three immunity levels, one for naive infections, one for vaccinated infections and one for people with prior immunity. We begin with the population model then account for an age structure by splitting each compartment into 4 age groups. We then account for four different social distancing measures.

Infectious disease models implemented in python

A research compedium (data, code, manuscript) for project on detecting critical slowing down in measles dynamics.

We address the calibration of SEIR-like epidemiological models from daily reports of COVID-19 infections in New York City, during the period 01-Mar-2020 to 22-Aug-2020. Our models account for different types of disease severity, age range, sex and spatial distribution. The manuscript related to such simulations can be found in https://arxiv.org/abs/2011.08664.

Visualization and modeling into the future of COVID-19 cases. Data download, visualization, modeling.

Statistics for China Coronavirus, with number of conformed patience in province and city level

🌍 Transform the Prophet's Sira into a dynamic spatio-temporal network using GIS analysis to uncover the geographical logic of the early Islamic state.