Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018

Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied w...

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Autores principales:	Retno Tri Hastuti, Lucia Yovita Hendrati
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Airlangga 2021
Materias:	dengue hemorrhagic fever incident rate spatial analysis classic analysis Public aspects of medicine RA1-1270 Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/5926da2d92ac4a1a9677fd83562f3d08
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spelling	oai:doaj.org-article:5926da2d92ac4a1a9677fd83562f3d082021-12-02T14:15:38ZSpatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–20182301-71712541-092X10.20473/jbe.V9I12021.79-87https://doaj.org/article/5926da2d92ac4a1a9677fd83562f3d082021-01-01T00:00:00Zhttps://e-journal.unair.ac.id/JBE/article/view/17058https://doaj.org/toc/2301-7171https://doaj.org/toc/2541-092XBackground: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.Retno Tri HastutiLucia Yovita HendratiUniversitas Airlanggaarticledengue hemorrhagic feverincident ratespatial analysisclassic analysisPublic aspects of medicineRA1-1270Infectious and parasitic diseasesRC109-216ENIDJurnal Berkala Epidemiologi, Vol 9, Iss 1, Pp 79-87 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	dengue hemorrhagic fever incident rate spatial analysis classic analysis Public aspects of medicine RA1-1270 Infectious and parasitic diseases RC109-216
spellingShingle	dengue hemorrhagic fever incident rate spatial analysis classic analysis Public aspects of medicine RA1-1270 Infectious and parasitic diseases RC109-216 Retno Tri Hastuti Lucia Yovita Hendrati Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
description	Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.
format	article
author	Retno Tri Hastuti Lucia Yovita Hendrati
author_facet	Retno Tri Hastuti Lucia Yovita Hendrati
author_sort	Retno Tri Hastuti
title	Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
title_short	Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
title_full	Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
title_fullStr	Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
title_full_unstemmed	Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018
title_sort	spatial analysis of dengue hemorrhagic fever based on influencing factors in jombang, 2014–2018
publisher	Universitas Airlangga
publishDate	2021
url	https://doaj.org/article/5926da2d92ac4a1a9677fd83562f3d08
work_keys_str_mv	AT retnotrihastuti spatialanalysisofdenguehemorrhagicfeverbasedoninfluencingfactorsinjombang20142018 AT luciayovitahendrati spatialanalysisofdenguehemorrhagicfeverbasedoninfluencingfactorsinjombang20142018
_version_	1718391728230105088

Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018

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