Research Proposal Tharindu
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7/30/2019 Research Proposal Tharindu
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M.Phil / Ph.D. Research Proposal, Faculty of Science, University of Colombo
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Program
PhD
Department
Departments
of
Mathematics
Index No.
Name:Mr.WPTM
Wickramaarachchi
Signature E-mail:
Phone:
0718377861
Title:
Developing a mathematical model to study dynamics of Dengue epidemics and controllability of
transmission of Dengue
Name(s) of supervisor(s) Institute Signature E-mail / Phone
Dr. SSN Perera University of
Colombo
Phone:0715352616
Introduction
Dengue is one of the most prevalent viruses by mosquitoes where increasing incidence and severity
claims it as a worrisome disease. This virus is common throughout the tropics and subtropics. Outbreaks
have occurred in the US Virgin Islands, Cuba and Central America. Also it is increasing in Asia and
Africa. According to the World Health Organization, there are an estimated 50 million cases of denguefever with 500,000 cases of dengue hemorrhagic fever requiring hospitalization each year. Nearly 40%
of the worlds population lives in an area endemic with dengue.
Dengue fever is caused by family of viruses that are transmitted by Aedes mosquitoes. Though its claim
classic form causes flu-like symptoms and is not life-threatening, more severe forms as dengue
hemorrhagic fever (DHF) and dengue shock syndrome (DSS) can be fatal, especially in children.
During the past few years, the characteristics of dengue in Sri Lanka appear to have changed. For
instance, a decade ago, children were predominantly affected, but in recent years clinicians have seen
increasing numbers of adult dengue patients, with both significant morbidity and increasing number ofadult deaths due to dengue. Therefore, it is very important to investigate, how this virus spreads while
considering their age, gender and other demographic factors with the attitudes of the government and
people.
As far as disease control, its entomological aspect is very important. Mosquito phase is to be approached
to block the transmission cycle. Socio-economic impact of control measures is the major concern in
national health care administration.
In literature, many Mathematical models are available to study the transmission of dengue. But all these
models are based on the forward simulation. That is given a set of parameters the simulation results areobtained. Yet, given the task the optimal control strategies for transmission of dengue, have not been
attended in literature.
mailto:[email protected]:[email protected] -
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M.Phil / Ph.D. Research Proposal, Faculty of Science, University of Colombo
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Objectives of the Research
Identify the optimal control strategy to control the transmission of dengue is the major objective of this
research. Meantime the following sub objectives will also be achieved.1. Identify the quantification of factors affecting the transmission of dengue.2. Study dynamics of dengue with respect to range of parameter values and their patterns.3. Carry out model based analysis to investigate effectiveness of disease control strategies.4. Identification of cost functional in order to minimize the investment in further transmission of
dengue.
Methodology
Dynamics of dengue can be formulated via a system of ODEs/PDEs.Thus, model equations can be
infused the approaches mentioned above (i.e. age-specific, gender-specific,etc).Using field
data/literature, parameter values will be identified and sensitivity of model with respect to externalvariables will be studied by defining set of sensitivity equations and using phase portrait. In our
approach the parameter values will be allowed to vary within reliable bounds. Thus, range modeling is
the typical approach here. It is important in two ways. First, effect of varying dynamics can beincorporated better than in a classical deterministic approach. On the other hand, it would minimize the
burden of lack of data, where fully stochastic model is not possible. Using multiple regression, neura
network or Hybrid models, dengue disease patterns with respect to measured direct parameters as well
as auxiliary parameters such as human behavior and social welfare potential will be recognized.Enumerating the impact of human awareness and subsequent response is a challenging task as it is
infused with many other time-specific and regional factors. Thus Fuzzy logic and Fuzzy integrals will be
suitable here to model the behavior of humans in controllability of dengue.
Based on the obtained results control measures will be identified. Cost functional will be identified to
recognize control strategies with respect to control parameters. Characteristics of the cost functional will
be aimed to minimize the investment in diseases control and the risk of further transmission. Based onthe cost functional and respective constraints, the Lagrangian Functional will be set up together with
optimization techniques. State, Adjoint, Control systems will be set up and suitable optimization
algorithm will be applied to solve the problem.
Time Frame
Task Year 1 Year 2 Year 3
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
1 Literature review
2 Study the transmission of dengue(Simple)
3 Identify the quantification factors of dengue
4 Study the dynamics of dengue(advanced)5 Identification of patterns in the parameters
6 Data collection
7 Estimating the parameter values
8 Simulation
9 Identifying the cost functional and constraints.
10 Identifying and recommending optimal controlstrategies for transmission of dengue
11 Thesis writing
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M.Phil / Ph.D. Research Proposal, Faculty of Science, University of Colombo
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References
[1] M Derouich, A Boutayeb and EH Twizell (2003), A model for dengue fever, Biomedical
Engineering Online - pp 1-10.
[2] Puntani Pongsumpun (2006), Transmission model for dengue disease with and without the effect of
extrinsic incubation period, KMITL Sci.Tech.J. Vol 6 No.2 - pp 74-82.
[3] N Nuraini, E Soewono and KA Sidarto (2007), A Mathematical model of dengue internaltransmission process, J.Indones.Math.Soc (MIHMI) Vol 13 No.1 - pp 123-132.
[4] P.Pongsumpun (2008),Mathematical model of dengue disease with the incubation period of virus, PPongsumpun, World Academy of Science, Engineering and Technology - pp 328-332.