Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)

Mapping The Distribution of Dengue Cases Using GIS In Banjarnegara Regency 2017–2022

Authors
Tri Ramadhani1, *, Dyah Widiastuti1, Sunaryo Sunaryo1, Siwi Pramatama Mars Wijayanti2, Ina Kusrini1, Rasyid Ridho1, Dicky Andriansyah1, Shinta Prawoto2
1Research Center for Public Health and Nutrition, Research Organization for Health, National Research and Innovation Agency, Jakarta, Indonesia
2Department of Public Health, Faculty of Health Sciences, Jenderal Soedirman University, Purwokerto, 53122, Indonesia
*Corresponding author. Email: trir006@brin.go.id
Corresponding Author
Tri Ramadhani
Available Online 28 July 2025.
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.

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Volume Title
Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 July 2025
ISBN
978-2-38476-410-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-410-5_27How to use a DOI?
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  -