A Comparison of Four Disease Mapping Techniques as Applied to TB Diseases in Malaysia

Authors

  • Ijlal Mohd Diah School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah Darul Aman, Malaysia
  • Nazrina Aziz School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah Darul Aman, Malaysia
  • Maznah Mat Kasim School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010, Sintok, Kedah Darul Aman, Malaysia

Keywords:

TB Disease, Relative Risk, Disease Mapping, Stochastic Model,

Abstract

This paper discusses the results of relative risk estimation based on four different types of methods. The methods used in this study are Standard Morbidity Ratio (SMR), Poisson-gamma model, stochastic Susceptible-Infective- Recovered (SIR) model and new alternative method that we proposed, stochastic Susceptible-Latently infected-Infectious- Recovered (SLIR) model. All the results are comparing and presenting in the form of graphs, tables and maps. These relative risk estimations are applied to TB count data in Malaysia. The maps showed the high-low risk areas for TB occurrence and this can be useful to interest parties in terms of government policy and financial support.

References

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Published

2017-09-15

How to Cite

Mohd Diah, I., Aziz, N., & Mat Kasim, M. (2017). A Comparison of Four Disease Mapping Techniques as Applied to TB Diseases in Malaysia. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-11), 133–137. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2751

Issue

Vol. 9 No. 2-11: The Challenge of Computer and Engineering in Building Sustainable Service Systems I

Section

Articles

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