Measles Hotspot Detection Using Bipartite Network Modelling Approach

Tang, Jie Jie (2020) Measles Hotspot Detection Using Bipartite Network Modelling Approach. [Final Year Project Report] (Unpublished)

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Abstract

The Health Ministry confirmed that there is an outbreak of measles among the Orang Asli in Gua Musang, Kelatan (Abas, 2019). The outbreak of measles surprises the government of Malaysia. Our government were facing the difficulties to control the measles outbreak due to lack of information regarding possible stating source of the outbreak. Besides, our government also lack of information to know the possible hotspot of measles in order for government to take action efficiently. This will cause the measles disease increases if government didn’t take any action. Thus, in order to prevent similar incident happens in future, this research was done to find the hotspot of measles in Malaysia. This in turn can help in the reduction of the spread of measles disease.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: hotspot of measles, measles disease, Orang Asli Gua Musang, Kelatan, Bipartite Network Modelling.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 04 Mar 2021 04:23
Last Modified: 04 Mar 2021 04:23
URI: http://ir.unimas.my/id/eprint/34680

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