Simulating the spread of malaria using a generic transmission model for mosquito-borne infectious diseases

Mui, Cynthia Lian Kon and Jane, Labadin (2016) Simulating the spread of malaria using a generic transmission model for mosquito-borne infectious diseases. In: Innovations Through Mathematical And Statistical Research: Proceedings of the 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016), 26–28 January 2016, Kuala Lumpur, Malaysia.

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Abstract

Malaria is a critical infection caused by parasites which are spread to humans through mosquito bites. Approximately half of the world’s population is in peril of getting infected by malaria. Mosquito-borne diseases have a standard behavior where they are transmitted in the same manner, only through vector mosquito. Taking this into account, a generic spatial-temporal model for transmission of multiple mosquito-borne diseases had been formulated. Our interest is to reproduce the actual cases of different mosquito-borne diseases using the generic model and then predict future cases so as to improve control and target measures competently. In this paper, we utilize notified weekly malaria cases in four districts in Sarawak, Malaysia, namely Kapit, Song, Belaga and Marudi. The actual cases for 36 weeks, which is from week 39 in 2012 to week 22 in 2013, are compared with simulations of the generic spatial-temporal transmission mosquito-borne diseases model. We observe that the simulation results display corresponding result to the actual malaria cases in the four districts.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Innovation, Malaria, infection, mosquito bites, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 22 Sep 2016 19:09
Last Modified: 25 Oct 2016 02:43
URI: http://ir.unimas.my/id/eprint/13572

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