# Computational Model Library

Displaying 6 of 6 results SIR clear

# Peer reviewedInfectious diseases model for mixed-methods research chapter

Daniel C Peart Chelsea E Hunter Ian M Hamilton Mark Moritz | Published Sunday, January 30, 2022

The purpose of this curricular model is to teach students the basics of modeling complex systems using agent-based modeling. It is a simple SIR model that simulates how a disease spreads through a population as its members change from susceptible to infected to recovered and then back to susceptible. The dynamics of the model are such that there are multiple emergent outcomes depending on the parameter settings, initial conditions, and chance.

The curricular model can be used with the chapter Agent-Based Modeling in Mixed Methods Research (Moritz et al. 2022) in the Handbook of Teaching Qualitative & Mixed Methods (Ruth et al. 2022).

The instructional videos can be accessed on YouTube: Video 1 (https://youtu.be/32_JIfBodWs); Video 2 (https://youtu.be/0PK_zVKNcp8); and Video 3 (https://youtu.be/0bT0_mYSAJ8).

# Introductory SIR Model

Kit Martin Amber Cesare Matthew Johnson | Published Tuesday, September 28, 2021

This is a basic Susceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in a space. In particular, it explores how changing assumptions about the number of susceptible people, starting number of infected people, as well as the disease’s infection probability, and average duration of infection. The model shows that the interactions of agents can drastically affect the results of the model.

We used it in our course on COVID-19: https://www.csats.psu.edu/science-of-covid19

# COVID-19 SIR with Public Health Interventions

Kit Martin Amber Cesare Matthew Johnson | Published Tuesday, September 28, 2021

This is an extension of the basic Suceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in two spaces, one a treatment, and one a control. Through the modeling options, one can explore how changing assumptions about the number of susceptible people, starting number of infected people, the disease’s infection probability, and average duration impacts the outcome. In addition, this version allows users to explore how public health interventions like social distancing, masking, and isolation can affect the number of people infected. The model shows that the interactions of agents, and the interventions can drastically affect the results of the model.

We used the model in our course about COVID-19: https://www.csats.psu.edu/science-of-covid19

# Simulating the Transmission of Foot-And-Mouth Disease Among Mobile Herds in the Far North Region, Cameroon

Hyeyoung Kim Ningchuan Xiao Mark Moritz Rebecca Garabed Laura W Pomeroy | Published Wednesday, April 13, 2016

This model simulates movements of mobile pastoralists and their impacts on the transmission of foot-and-mouth disease (FMD) in the Far North Region of Cameroon.

# A Modelling4All/NetLogo model of the Spanish Flu Pandemic

Ken Kahn | Published Monday, August 05, 2013 | Last modified Monday, August 05, 2013

A global model of the 1918-19 Influenza Pandemic. It can be run to match history or explore counterfactual questions about the influence of World War I on the dynamics of the epidemic. Explores two theories of the location of the initial infection.

# Product Diffusion Model in an Advance Selling Strategy

Peng Shao | Published Tuesday, March 15, 2016 | Last modified Tuesday, March 15, 2016

the model can be used to describe the product diffusion in an Advance Selling Strategy. this model takes into account the consumers product adoption, and describe consumer’s online behavior based on four states.

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