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@article{Medstat18274, author = {Inna Fatati and Hari Wijayanto and Agus Sholeh}, title = {ANALISIS REGRESI SPASIAL DAN POLA PENYEBARAN PADA KASUS DEMAM BERDARAH DENGUE (DBD) DI PROVINSI JAWA TENGAH}, journal = {MEDIA STATISTIKA}, volume = {10}, number = {2}, year = {2017}, keywords = {}, abstract = {Dengue Hemorrhagic Fever (DHF) is one of the diseases that threaten human health. The cases of dengue fever in the district / city certainly has different characteristics, geographic condition, the potential of the region, health facilities, as well as other matters that lie behind them. Based on local moran index values are visualized through thematic maps, some area adjacent quadrant tends to be in the same group. There are two significant quadrant in describing the pattern of spread of dengue cases namely quadrant high-high and lowlow. This indicates a spatial effect on the number of dengue cases, so that the spatial regression analysis. Based on the value of and AIC, autoregressive spatial models (SAR) is good enough to be used in modeling the number of dengue cases in the province of Central Java. Factors that influence the number of dengue cases Central Java province in 2015 is the number of health centers per 1000 population, the number of polindes per 1000 population, population density (X3), percentage of people with access to drinking water sustainable decent (X6), the percentage of water quality net free of bacteria, fungi and chemicals (X7), and the number of facilities protected springs (X8).}, issn = {2477-0647}, pages = {95--105} doi = {10.14710/medstat.10.2.95-105}, url = {https://ejournal.undip.ac.id/index.php/media_statistika/article/view/18274} }
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Dengue hemorrhagic fever modeling using geographically weighted negative binomial regression
The Poisson inverse Gaussian regression model in the analysis of dengue hemorrhagic fever case in Central Java
Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
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