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Abstract

The Indonesian Ministry of Health has reported an alarming increase in Dengue Hemorrhagic Fever (DHF) cases, particularly in West Java Province. Given this trend, collaborative research and surveillance efforts are crucial to understanding and managing DHF cases in Indonesia. The panel data regression model in dengue fever cases will provide new insights into modeling. This research aimed to identify the most appropriate random effects model for estimating a dataset with four different variables. This study involved panel data variables on the effect of population density, percentage of poor people, percentage of households with access to clean water, and proper sanitation on DHF cases in West Java Province. This method emphasized selecting the best model from one-way and two-way Random Effects (RE) models and identifying what factors influenced the increase of DHF cases in West Java province. The best model obtained was a two-way RE Model with three significant variables. Based on the selected variables in the model, West Java Province needs to pay attention to the distribution of housing and economic activity in each district because population density is a crucial concern for the local government.

Keywords

panel data dengue hemorrhagic fever (dhf) two-way random effect model biostatistics regression

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How to Cite
Danarwindu, G. A., & Fadhlurrahman, M. G. . (2024). Statistical Perspective of Dengue Hemorrhagic Fever in West Java: Insights from Two-Way RE Model. Enthusiastic : International Journal of Applied Statistics and Data Science, 4(2), 119–131. https://doi.org/10.20885/enthusiastic.vol4.iss2.art4
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