skip to main content

ANALISIS REGRESI SPASIAL DAN POLA PENYEBARAN PADA KASUS DEMAM BERDARAH DENGUE (DBD) DI PROVINSI JAWA TENGAH

*Inna Firindra Fatati  -  Fakultas MIPA, Institut Pertanian Bogor (IPB), Indonesia
Hari Wijayanto  -  Fakultas MIPA, Institut Pertanian Bogor (IPB), Indonesia
Agus M. Sholeh  -  Fakultas MIPA, Institut Pertanian Bogor (IPB), Indonesia
Open Access Copyright (c) 2017 MEDIA STATISTIKA under http://creativecommons.org/licenses/by-nc-sa/4.0/.

Citation Format:
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).
Fulltext View|Download

Article Metrics:

Last update:

  1. Dengue hemorrhagic fever modeling using geographically weighted negative binomial regression

    Bagus Sumargo, Siti Julpia Kirana, Siti Rohmah Rohimah. THE 7TH INTERNATIONAL CONFERENCE ON BASIC SCIENCES 2021 (ICBS 2021), 2588 , 2023. doi: 10.1063/5.0112673
  2. The Poisson inverse Gaussian regression model in the analysis of dengue hemorrhagic fever case in Central Java

    Fani Rahmawati Husna, Azizah. THE 3RD INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS (ICOMATHAPP) 2022: The Latest Trends and Opportunities of Research on Mathematics and Mathematics Education, 3049 , 2024. doi: 10.1063/5.0195573
  3. SPATIAL ANALYSIS OF DENGUE HEMORRHAGIC FEVER IN EAST MANGGARAI, INDONESIA: A CASE STUDY

    Wilibaldus Julian Siga, Erni Astutik, Yohanes Ximenes. Journal of Public Health Research and Community Health Development, 7 (1), 2023. doi: 10.20473/jphrecode.v7i1.34248
  4. Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018

    Retno Tri Hastuti, Lucia Yovita Hendrati. Jurnal Berkala Epidemiologi, 9 (1), 2021. doi: 10.20473/jbe.V9I12021.79-87

Last update: 2024-10-15 21:31:04

No citation recorded.