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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).
1 source code document is available
Subjects Levels Resource Types
Mathematical Tools
- Differential Equations
Other Sciences
- Life Sciences
- Lower Undergraduate
- High School
- Informal Education
- Upper Undergraduate
- Instructional Material
= Model
= Simulation
Intended Users Formats Ratings
- Learners
- Professional/Practitioners
- Researchers
- Educators
- application/java
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Access Rights:
Free access
This material is released under a GNU General Public License Version 3 license.
Rights Holder:
John de Saint Phalle
Record Creator:
Metadata instance created March 11, 2013 by Wolfgang Christian
Record Updated:
June 2, 2014 by Andreu Glasmann
Last Update
when Cataloged:
March 10, 2013
Other Collections:

ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
J. de Saint Phalle, Computer Program AIRBORNE INFECTION SEIR MODEL (2013), WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232).
J. de Saint Phalle, Computer Program AIRBORNE INFECTION SEIR MODEL (2013), <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232>.
APA Format
de Saint Phalle, J. (2013). Airborne Infection SEIR Model [Computer software]. Retrieved September 23, 2017, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232
Chicago Format
de Saint Phalle, John. "Airborne Infection SEIR Model." https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232 (accessed 23 September 2017).
MLA Format
de Saint Phalle, John. Airborne Infection SEIR Model. Computer software. 2013. Java (JRE) 1.6. 23 Sep. 2017 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232>.
BibTeX Export Format
@misc{ Author = "John de Saint Phalle", Title = {Airborne Infection SEIR Model}, Month = {March}, Year = {2013} }
Refer Export Format

%A John de Saint Phalle
%T Airborne Infection SEIR Model
%D March 10, 2013
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232
%O application/java

EndNote Export Format

%0 Computer Program
%A de Saint Phalle, John
%D March 10, 2013
%T Airborne Infection SEIR Model
%8 March 10, 2013
%U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12656&DocID=3232

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Citation Source Information

The AIP Style presented is based on information from the AIP Style Manual.

The AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles.

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.

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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

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