Airborne Infection SEIR Model
written by John de Saint Phalle
The Airborne Infection SEIR Model examines the time evolution of four populations in an epidemic: those who are susceptible to infection, those who have been exposed but do not yet exhibit symptoms, those who are infected and contagious, and those who have recovered from the infection. The SUSCEPTIBLE-EXPOSED-INFECTED-REMOVED (SEIR) Model shows that infection can spread throughout a population in just a matter of days. Infections and viruses can be transmitted relatively easily, or can be prevented all together if certain conditions are satisfied. This model examines the spread of infection in indoor environments and the parameters that shape its transmission.
The Airborne Infection SEIR Model was developed using the Easy Java Simulations (EJS) modeling tool. It is distributed as a ready-to-run (compiled) Java archive. Double clicking the jar file will run the program if Java is installed. You can modify this simulation if you have EJS installed by right-clicking within the map and selecting "Open Ejs Model" from the pop-up menu item.
Please note that this resource requires at least version 1.6 of Java (JRE).
View the source code document attached to this resource
ComPADRE is beta testing Citation Styles!
Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.
Citation Source Information
The APA Style presented is based on information from APA Style.org: Electronic References.
The Chicago Style presented is based on information from Examples of Chicago-Style Documentation.
The MLA Style presented is based on information from the MLA FAQ.
Airborne Infection SEIR Model:
Is Based On Easy Java Simulations Modeling and Authoring Tool
The Easy Java Simulations Modeling and Authoring Tool is needed to explore the computational model used in the Airborne Infection SEIR Model.relation by Wolfgang Christian
Know of another related resource? Login to relate this resource to it.