Abstract
Dengue is an infectious disease that severe health problems even death. The number of infections has been increased significantly worldwide. Dengue disease is transmitted through Aedes Aegypti vectors. Identifying high-risk areas is vital to control disease transmission. Population density is a crucial risk factor that can accelerate dengue transmission. The cities in general have higher population density than districts. Therefore, the modeling dengue risk is critical to take into account the district and city levels information. It can be done by developing multilevel models as a representation of the hierarchical models. The models were estimated by means of integrated nested Laplace approximation (INLA). We found there is a high different regression coefficients between district and city levels. Population density has a high positive impact on the city level.
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