Mapping The Distribution of Dengue Cases Using GIS In Banjarnegara Regency 2017–2022
- DOI
- 10.2991/978-2-38476-410-5_27How to use a DOI?
- Keywords
- dengue mapping; GIS analysis; disease distribution; epidemiological study
- Abstract
Dengue fever in Banjarnegara Regency remains a significant public health issue that requires effective control measures. This study employs a Geographical Information System (GIS) to analyze the spatial distribution and sociocultural indicators associated with dengue cases from 2017 to 2022. This research is descriptive research with Case Series design. The collecting dengue data from the hospital through the KDRS in putting it into the electronic DHF application from 2017–2022. The total sample is 1192 cases, namely dengue cases that have been confirmed using the e-DBD application. Descriptive data analysis in the form of maps, graphs, and tables. The distribution of dengue cases is more common in lowland areas (¡ 700 above sea level) with high population density. Dengue incidence tends to be in the urban, rainy season, male, and from the productive age group (15–44 years). GIS can be used in initial actions to localize the prevention and control of dengue outbreaks in Banjarnegara Regency.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Tri Ramadhani AU - Dyah Widiastuti AU - Sunaryo Sunaryo AU - Siwi Pramatama Mars Wijayanti AU - Ina Kusrini AU - Rasyid Ridho AU - Dicky Andriansyah AU - Shinta Prawoto PY - 2025 DA - 2025/07/28 TI - Mapping The Distribution of Dengue Cases Using GIS In Banjarnegara Regency 2017–2022 BT - Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023) PB - Atlantis Press SP - 267 EP - 277 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-410-5_27 DO - 10.2991/978-2-38476-410-5_27 ID - Ramadhani2025 ER -