Measles Hotspot Detection Using Bipartite Network Modelling Approach

• Main Author: Tang, Jie Jie
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak, (UNIMAS) 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/34680/1/Tang%20Jie%20Jie%20-%2024%20pgs.pdf; http://ir.unimas.my/id/eprint/34680/4/Tang%20Jie%20Jie.pdf; http://ir.unimas.my/id/eprint/34680/
• Institution: Universiti Malaysia Sarawak

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.