dc.contributor.advisor |
Jamali, Prof. Dr. A. R. M. Jalal Uddin |
|
dc.contributor.author |
Islam, Rafiqul |
|
dc.date.accessioned |
2018-12-23T04:34:22Z |
|
dc.date.available |
2018-12-23T04:34:22Z |
|
dc.date.copyright |
2018 |
|
dc.date.issued |
2018-06 |
|
dc.identifier.other |
ID 1351556 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12228/464 |
|
dc.description |
This thesis is submitted to the Department of Mathematics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Philosophy in Mathematics, June 2018. |
en_US |
dc.description |
Cataloged from PDF Version of Thesis. |
|
dc.description |
Includes bibliographical references (pages 65-68). |
|
dc.description.abstract |
Infectious diseases cause great suffering all over the world like Japan, USA, India, China,
Ghana, Bangladesh etc. every year. The cause of infectious diseases are mainly virus and
bacteria, they are becoming resistant against existing drugs. Therefore, infectious diseases
become great concern in public health. But the spread of infectious disease can be
controlled by some preventive steps. To get the control strategy, we have to know the
transmission dynamics of the viruses. Mathematical modeling plays a vital role in
understanding the transmission dynamics of the virus. In order to find out the control
strategy of the infectious diseases, several mathematical models are available in the
literatures. SIR and SEIR are the most well-known models regarding the transmission
dynamics of the infectious diseases. In this thesis we have applied mathematical model
namely SEIR model to realize the dynamics of Influenza A (H1N1) virus and Nipah Virus.
By analyzing sensitivity of their disease free equilibrium and endemic equilibrium we have
got two controlling strategies –decrease of contact rate and/or increase of recovery rate.
Moreover, we have got herd immunity threshold for them by basic reproduction number
regarding data of Bangladesh. Our result suggests that vaccinating 15.31% population
could be controlled spread out of Influenza A (H1N1) virus and keeping away 77.25%
(susceptible) population from close contact with infected people could be controlled
outbreak of Nipah virus in Bangladesh at their initial outbreak respectively. Using the
above control strategy we have proposed vaccine induced SEIR model for Influenza A
(H1N1) virus and controlled induced SEIR model for Nipah virus. For Influenza A (H1N1)
virus, we considered 15.31% of the susceptible population will be vaccinated whereas for
Nipah virus, 77.25% of the susceptible population will not be in close contact (by
awareness) with infected population. Numerical solutions of the proposed vaccine induced
SEIR model as well as control induced SEIR model regarding data of Bangladesh reveal
the control of the outbreak of both diseases respectively. Moreover numerical simulation
have been performed to analyze the performance of SEIR models and proposed control
induced SEIR models for both the viruses. |
en_US |
dc.description.statementofresponsibility |
Rafiqul Islam |
|
dc.format.extent |
68 pages |
|
dc.language.iso |
en_US |
en_US |
dc.publisher |
Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh |
en_US |
dc.rights |
Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. |
|
dc.subject |
Infectious Diseases |
en_US |
dc.subject |
Transmission Dynamics |
en_US |
dc.subject |
Virus |
en_US |
dc.subject |
Nipah Virus |
en_US |
dc.subject |
Influenza A (H1N1) Virus |
en_US |
dc.title |
Mathematical Analysis of Epidemiological Model of Virus Transmission Dynamics in Perspective of Bangladesh |
en_US |
dc.type |
Thesis |
en_US |
dc.description.degree |
Master of Philosophy in Mathematics |
|
dc.contributor.department |
Department of Mathematics |
|