A study on infectious disease propagation in an airport network
In this study, simulations based on several values of three parameters were done to show the Ebola disease propagation. A modified SEIR model was used to demonstrate the relationships between each variable of an infectious disease in transmission and how it affects the dynamics of transmission in di...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/64065 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-64065 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-640652023-03-04T18:39:31Z A study on infectious disease propagation in an airport network Tee, Poh San Nie Xiao Feng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Systems engineering DRNTU::Engineering::Mechanical engineering DRNTU::Engineering::Industrial engineering::Operations research In this study, simulations based on several values of three parameters were done to show the Ebola disease propagation. A modified SEIR model was used to demonstrate the relationships between each variable of an infectious disease in transmission and how it affects the dynamics of transmission in different geographic locations. Global air travel data was obtained to form a complex air traffic network to assist in this simulation. Discoveries showed that Singapore has chances in exposing to Ebola disease even though the odd is very small. Different transmission variables portray different results and duration in disease propagation. Personal insights were discussed to provide a different view in perspective. Bachelor of Engineering (Mechanical Engineering) 2015-05-22T08:02:10Z 2015-05-22T08:02:10Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64065 en Nanyang Technological University 53 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Systems engineering DRNTU::Engineering::Mechanical engineering DRNTU::Engineering::Industrial engineering::Operations research |
spellingShingle |
DRNTU::Engineering::Systems engineering DRNTU::Engineering::Mechanical engineering DRNTU::Engineering::Industrial engineering::Operations research Tee, Poh San A study on infectious disease propagation in an airport network |
description |
In this study, simulations based on several values of three parameters were done to show the Ebola disease propagation. A modified SEIR model was used to demonstrate the relationships between each variable of an infectious disease in transmission and how it affects the dynamics of transmission in different geographic locations. Global air travel data was obtained to form a complex air traffic network to assist in this simulation. Discoveries showed that Singapore has chances in exposing to Ebola disease even though the odd is very small. Different transmission variables portray different results and duration in disease propagation. Personal insights were discussed to provide a different view in perspective. |
author2 |
Nie Xiao Feng |
author_facet |
Nie Xiao Feng Tee, Poh San |
format |
Final Year Project |
author |
Tee, Poh San |
author_sort |
Tee, Poh San |
title |
A study on infectious disease propagation in an airport network |
title_short |
A study on infectious disease propagation in an airport network |
title_full |
A study on infectious disease propagation in an airport network |
title_fullStr |
A study on infectious disease propagation in an airport network |
title_full_unstemmed |
A study on infectious disease propagation in an airport network |
title_sort |
study on infectious disease propagation in an airport network |
publishDate |
2015 |
url |
http://hdl.handle.net/10356/64065 |
_version_ |
1759852916640841728 |