Relative risk estimation for dengue disease mapping in Malaysia based on Besag, York and Mollie model

Nor Azah Samat

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Type :	article
Subject :	R Medicine (General)
ISSN :	0128-7680
Main Author :	Nor Azah Samat
Additional Authors :	W., Pei Zhen
Title :	Relative risk estimation for dengue disease mapping in Malaysia based on Besag, York and Mollie model

Year of Publication :

2017

Abstract :

In the study of disease mapping, relative risk estimation is the focus of analysis. Many methods have been introduced to estimate relative risk. In this paper, one of the common spatial models known as Besag, York and Mollié (BYM) model is discussed, and its application to dengue data for epidemiology weeks 1 to 52 of the year 2013 for 16 states in Malaysia is studied. Findings show that Selangor has the highest relative risk of dengue in comparison with other states. Data on the estimated relative risks are presented in the form of risk maps which can be used as a tool for the prevention and control of dengue

References

1. Besag, J., York, J., & Mollié, A. (1991). Bayesian Image Restoration, With Two Applications in Spatial Statistics. Annals Of The Institute Of Statistical Mathematics, 43(1), 1-20. 2. Clayton, D., & Kaldor, J. (1987). Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping. Biometrics, 43(3), 671-681. 3. Johnson, G. D. (2004). Small Area Mapping of Prostate Cancer Incidence in New York State (USA) using Fully Bayesian Hierarchical Modelling. International Journal of Health Geographics, 3(1), 1-12. 4. Lawson, A. B., Browne, W. J., & Rodeiro, C. L. V. (2003). Disease mapping with WinBUGS and MLwiN (Vol. 11). England: John Wiley & Sons. 5. Samat, N. A., & Ma’arof, S. M. I. (2013). Dengue Disease Mapping with Standardized Morbidity Ratio and Poisson-gamma Model: An Analysis of Dengue Disease in Perak, Malaysia. International Journal of Mathematical Science and Engineering, 7(8), 1299-1303. 6. Samat, N. A., & Percy, D. F. (2012). Dengue Disease Mapping in Malaysia Based on Stochastic SIR Models in Human Populations. International Conference on Statistics in Science, Business, and Engineering (ICSSBE 2012) (pp. 1-5). IEEE.

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