Abstract
Aedes aegypti is the prime factor of dengue virus which dynamic of its population can
be influenced by the fluctuation of rainfall. The purpose of conducting this project is
mainly to simulate the mosquito population growth associated with rainfall distribution.
The dynamic of the mosquito population was simulated by using the transition matrix
which is Lefkovitch matrix model. The life cycle ofAedes aegypfi consists of five stages
which are eggs, larva, pupae, adult l and adult 2. These five stages of the mosquito life
cycle were used in constructing the transition matrix for the matrix model. The study of
this report was focused in Shah Alam, Selangor since it has the highest number of
reported dengue cases in Malaysia. Therefore, the data of daily rainfall distributions in
Subang has been used in this study. The findings of this project show that the population
of Aedes aegypli will be influenced by the rainfall distribution. The growth of Aedes
aegypti will be affected when there is no rain or heavy rain. This is because this situation
could hinder the fertilization of eggs or affect their breeding habitats. Therefore, the
researchers need to further studies on survival and hatching rate based on the current
environment, so that the prediction will be more accurate and get more knowledge on
the population of Aedes aegypti.
Metadata
Item Type: | Student Project |
---|---|
Creators: | Creators Email / ID Num. Mahajid, Marina UNSPECIFIED Ahmad Sanizam, Nur Adriana Azween UNSPECIFIED Dzulfukar, Nur Syahida UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons.) Mathematics |
Keywords: | Stage-structured lefkovitch, matrix population, modelling aedes aegypti, |
Date: | 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/37306 |
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