SEIR-Campus: Modeling Infectious Diseases on University Campuses

11/11/2020
by   Matthew Zalesak, et al.
0

We introduce a Python package for modeling and studying the spread of infectious diseases using an agent-based SEIR style epidemiological model with a focus on university campuses. This document explains the epidemiological model used in the package and gives examples highlighting the ways that the package can be used.

READ FULL TEXT
research
08/09/2018

NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces

NL4Py is a NetLogo controller software for Python, for the rapid, parall...
research
10/24/2021

Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes

This article introduces epidemia, an R package for Bayesian, regression-...
research
10/31/2021

Asgl: A Python Package for Penalized Linear and Quantile Regression

Asg is a Python package that solves penalized linear regression and quan...
research
01/05/2023

TextDescriptives: A Python package for calculating a large variety of statistics from text

TextDescriptives is a Python package for calculating a large variety of ...
research
08/10/2014

Modeling Creativity: Case Studies in Python

Modeling Creativity (doctoral dissertation, 2013) explores how creativit...
research
04/04/2023

Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python

The is an open-source library for flexible, fast choice modeling with P...
research
06/18/2020

Fast Tail Index Estimation for Power Law Distributions in R

Power law distributions, in particular Pareto distributions, describe da...

Please sign up or login with your details

Forgot password? Click here to reset