The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis

Dengue is vital health issue in Indonesia, in which it is burdening health and economic among population. This study aims to analyse the relationship between temperature and dengue fever cases in Malang Regency, East Java Province- Indonesia, from 2014 to 2018. A quantitative ecological time-series...

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Main Authors: Ali Khaidar, Addin Rizaldi Muhammad, Bangun Sugiharto Septiono, Yuniarno Saudin, Fitria Widiyanto Agnes, Suratman Suratman, Lazuardi Lutfan
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_10005.pdf
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author Ali Khaidar
Addin Rizaldi Muhammad
Bangun Sugiharto Septiono
Yuniarno Saudin
Fitria Widiyanto Agnes
Suratman Suratman
Lazuardi Lutfan
author_facet Ali Khaidar
Addin Rizaldi Muhammad
Bangun Sugiharto Septiono
Yuniarno Saudin
Fitria Widiyanto Agnes
Suratman Suratman
Lazuardi Lutfan
author_sort Ali Khaidar
collection DOAJ
description Dengue is vital health issue in Indonesia, in which it is burdening health and economic among population. This study aims to analyse the relationship between temperature and dengue fever cases in Malang Regency, East Java Province- Indonesia, from 2014 to 2018. A quantitative ecological time-series design was employed. The dependent variable was dengue cases, and the independent variable was temperature. Data analysis involved descriptive spatial analysis using QGIS 3.0 and Spearman correlation tests with Stata. Correlations between dengue cases and temperature were assessed from lag 0 to lag 3 months. The dengue case was recorded 4,505 cases. Dengue cases peaked in 2015 (1,331 cases) and 2016 (1,140 cases), with the highest incidence observed in February 2015 and January 2016. A significant correlation was found between temperature and dengue cases at lag 2-3 months (p<0.05). The spatial analysis also indicates that dengue fever cases in Malang Regency exhibit a clustered pattern, with the clusters predominantly located in urban areas. Temperature significantly influences dengue incidence in Malang Regency, particularly with a lag of 2-3 months. These findings suggest the importance of integrating temperature data into early warning systems for targeted dengue prevention and control strategies in vulnerable areas for climate change.
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institution Kabale University
issn 2117-4458
language English
publishDate 2025-01-01
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series BIO Web of Conferences
spelling doaj-art-31a96a89b61c41beaa8da9839ed1bd2c2025-02-05T10:43:24ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011551000510.1051/bioconf/202515510005bioconf_10thiccc_10005The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysisAli Khaidar0Addin Rizaldi Muhammad1Bangun Sugiharto Septiono2Yuniarno Saudin3Fitria Widiyanto Agnes4Suratman Suratman5Lazuardi Lutfan6Department of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Health Sciences, Universitas Jenderal SoedirmanDepartment of Public Health, Faculty of Medicine, Public Health and Nursing, Universtias Gadjah MadaDengue is vital health issue in Indonesia, in which it is burdening health and economic among population. This study aims to analyse the relationship between temperature and dengue fever cases in Malang Regency, East Java Province- Indonesia, from 2014 to 2018. A quantitative ecological time-series design was employed. The dependent variable was dengue cases, and the independent variable was temperature. Data analysis involved descriptive spatial analysis using QGIS 3.0 and Spearman correlation tests with Stata. Correlations between dengue cases and temperature were assessed from lag 0 to lag 3 months. The dengue case was recorded 4,505 cases. Dengue cases peaked in 2015 (1,331 cases) and 2016 (1,140 cases), with the highest incidence observed in February 2015 and January 2016. A significant correlation was found between temperature and dengue cases at lag 2-3 months (p<0.05). The spatial analysis also indicates that dengue fever cases in Malang Regency exhibit a clustered pattern, with the clusters predominantly located in urban areas. Temperature significantly influences dengue incidence in Malang Regency, particularly with a lag of 2-3 months. These findings suggest the importance of integrating temperature data into early warning systems for targeted dengue prevention and control strategies in vulnerable areas for climate change.https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_10005.pdf
spellingShingle Ali Khaidar
Addin Rizaldi Muhammad
Bangun Sugiharto Septiono
Yuniarno Saudin
Fitria Widiyanto Agnes
Suratman Suratman
Lazuardi Lutfan
The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
BIO Web of Conferences
title The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
title_full The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
title_fullStr The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
title_full_unstemmed The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
title_short The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
title_sort correlation between temperature and dengue haemorrhagic fever in malang regency indonesia a spatial temporal analysis
url https://www.bio-conferences.org/articles/bioconf/pdf/2025/06/bioconf_10thiccc_10005.pdf
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