Modeling Dengue Fever by using Conditional Autoregressive Bessag-York-Mollie

Dengue fever is a tropical disease caused by the dengue virus. The small proportional of this can develops into more severe hemorrhagic (DHF). This research discussed about model for mapping in Ciamis District. purpose to characterize relative risk and factors correlated with case DHF. Independent variables used are population density, attitude region, number health worker. To analysis data, we conditional autoregressive Bessag-York-Mollie (CAR-BYM) model. Based on descriptive statistic, maximum minimum DHF cases Sukamantri, respectively. Furthermore, basedon results, found that Cijeungjing there were 7 sub districts which greater than one 20 less one. show these expectation. CAR-BYM result showed Each increase density unit contributes addition 0.0012 units. additional worker unit, it will reduce 0.0675 altitude 0.0011 (RR) value Cijengjing Districts have darkest color. RR values two sub-districts 3,449 3,240, expected values.