Abstract
Geographically and Temporally weighted regression (GTWR) modeling has been developed to evaluate spatial heterogeneity and temporal heterogeneity in factors influencing the spread of dengue fever in Malang city. By using the monthly data in 2012-2015 as the temporal unit of each urban village in Malang and village is considered as a spatial unit. GTWR model is compared with the GWR model using several statistical criteria. GTWR model shows that the relationship between dengue incidence with population density and monthly average temperature significantly affects each Village in Malang. Keywords : DHF, GTWR, Spatiotemporal Pattern
Highlights
Dengue hemorrhagic fever (DHF) is a disease caused by the dengue virus that is found in tropical and subtropical areas
The purpose of this study is to extend the Geographically and Temporally weighted regression (GTWR) modeling framework in analyzing factors causing dengue extensively by observing the presence of spatial heterogeneity and temporal heterogeneity in the modeling
Statistical Methods The relationship between DHF incidence and factors considered to affect the spread of DHF was analyzed by comparing the results of Geographically Weighted Regression (GWR) model and GTWR model
Summary
Dengue hemorrhagic fever (DHF) is a disease caused by the dengue virus that is found in tropical and subtropical areas. High dengue cases require serious efforts to prevent the spread of DHF endemic disease by analyzing the risk factors associated with dengue virus infection. Its conclusions only look at the spatial effects and one factor, not paying attention to the influence of time and other factors that can affect the spread of dengue in the area. One method for examining spatial and temporal influences is geographically and temporally weighted regression (GTWR) This statistic method is developed from GWR. The purpose of this study is to extend the GTWR modeling framework in analyzing factors causing dengue extensively by observing the presence of spatial heterogeneity and temporal heterogeneity in the modeling. The results of this study will practically be useful for the authorities in regulating the prevention program of DHF infection locally and at certain times
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