Computational Model Library

COVID-19 ABM

Gudrun Wallentin | Published Tue Apr 21 07:20:07 2020 | Last modified Tue Apr 21 08:59:02 2020

Model of the Corona pandemic outbreak

The COVID-19 ABM aims to predict the qualitative behaviour of the CoViD-19 epidemic dynamics for the greater region of Salzburg City. Specifically, by means of scenario testing, it aims to help assessing how containment interventions can allow a stepwise relaxation of the lockdown without risking a new outbreak.

Mission San Diego Model

Carolyn Orbann | Published Mon Apr 15 21:06:39 2019

The Mission San Diego model is an epidemiological model designed to test hypotheses related to the spread of the 1805-1806 measles epidemic among indigenous residents of Mission San Diego during the early mission period in Alta California. The model community is based on the population of the Mission San Diego community, as listed in the parish documents (baptismal, marriage, and death records). Model agents are placed on a map-like grid that consists of houses, the mission church, a women’s dormitory (monjeria) adjacent to the church, a communal kitchen, priest’s quarters, and agricultural fields. They engage in daily activities that reflect known ethnographic patterns of behavior at the mission. A pathogen is introduced into the community and then it spreads throughout the population as a consequence of individual agent movements and interactions.

A Modelling4All/NetLogo model of the Spanish Flu Pandemic

Ken Kahn | Published Mon Aug 5 15:17:09 2013 | Last modified Mon Aug 5 15:21:25 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.

Diffusion dynamics in small-world networks with heterogeneous consumers

Sebastiano Delre | Published Sat Sep 10 10:38:57 2011 | Last modified Sat Apr 27 20:18:30 2013

This model simulates diffusion curves and it allows to test how social influence, network structure and consumer heterogeneity affect their spreads and their speeds.

A consumer-demand simulation for Smart Metering tariffs (Innovation Diffusion)

Martin Rixin | Published Thu Aug 18 10:29:34 2011 | Last modified Sat Apr 27 20:18:17 2013

An Agent-based model simulates consumer demand for Smart Metering tariffs. It utilizes the Bass Diffusion Model and Rogers´s adopter categories. Integration of empirical census microdata enables a validated socio-economic background for each consumer.

Models the connection between health agency communication, personal protective behaviour (eg vaccination, hand hygiene) and influenza transmission.

Objective is to simulate policy interventions in an integrated demand-supply model. The underlying demand function links both sides. Diffusion proceeds if interactions distribute awareness (Epidemic effect) and rivalry reduces the market price (Probit effect). Endogeneity is given due to the fact that consumer awareness as well as their willingness-to-pay drives supply-side rivalry. Firm´s entry and exit decisions as well as quantity and price settings are driven by Cournot competition.

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