Spatio-temporal Mapping Of Dengue Disease In Peninsular Malaysia
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Date
2021-10
Authors
Nurul Syafiah Binti Abd Naeeim
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia.
Abstract
The urgent need for more effective public health measures to control dengue disease
as well as other infectious diseases in Malaysia drove the decision to undertake
the work in this thesis. The main objective of this thesis is to expand several prominent
issues in disease mapping related to dengue disease. Spatial and temporal pattern
of the dengue disease using appropriate statistical modeling were carried out and visualised
through mapping techniques. To achieve the main objective, first, the risk
of dengue disease were estimated spatially, temporally and spatio-temporally by taking
into account the information from nearby areas, previous time points and also
the interaction between areas and time points using several different methods. Then,
this study identified the existence of any spatial and temporal cluster of high dengue
risk. Lastly, this study examined the relationship between dengue risk with several
climate variables namely temperature, total number of rainfall and relative humidity.
The main methodology of this study involved Bayesian estimation with Integrated
Nested Laplace Approximation (INLA) approximation. The models for dengue risk
calculation were formed based on Bayesian Hierarchical Model (BHM) for discrete
spatio-temporal model and Stochastic Partial Differential Equation (SPDE) for continuous
spatio-temporal model and their comparison had been carried out
Description
Keywords
Spatio-temporal Mapping , Dengue Disease In Peninsular Malaysia