Issue |
BIO Web Conf.
Volume 155, 2025
10th-ICCC – 10th International Conference on Climate Change “Climate Change, Plant and Health”
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Article Number | 10005 | |
Number of page(s) | 7 | |
Section | Climate Change Impact on Health and Adaptation/Mitigation Strategy | |
DOI | https://doi.org/10.1051/bioconf/202515510005 | |
Published online | 29 January 2025 |
The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis
1 Department of Public Health, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia
2 Department of Public Health, Faculty of Medicine, Public Health and Nursing, Universtias Gadjah Mada, Indonesia
* Corresponding author: khaidar.ali@unsoed.ac.id
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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