Related Experiment Video
Updated: Jul 11, 2026

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
Published on: September 27, 2014
Ontology based modeling of pandemic simulation scenarios
Henrik Eriksson1, Magnus Morin, Johan Jenvald
1Department of Computer and Information Science, Linköping University, Linköping, Sweden. her@ida.liu.se
Abstract:
Computer-based simulation of influenza outbreaks in local communities can help researchers, epidemiologists, and decision makers better understand the impact of the community structure on the reproduction rate of disease, and the relative benefits of different types of prevention and interventions. The goal of scenario modeling is to develop a description of scenario components, such as the disease, the community, and interventions. An ontology-based representation of the scenario model together with a modeling tool, which is based on an extension to Protégé, assist scenario developers in formulating simulation specifications. This approach allows the exploration of new ideas by rapidly formulating and reconstructing scenarios from novel components.
Related Concept Videos
Steps in Outbreak Investigation
Causality in Epidemiology
Investigation of Disease Outbreaks
Modeling and Similitude
Principles of Disease Surveillance
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...