Research Article
Strategy to Control Environmental Factors and Community Behavior Based on a Model of the Endemic Incident of Dengue Fever
@INPROCEEDINGS{10.4108/eai.2-11-2023.2348013, author={Pardi Affandi and Anang K and Syalam Ali W and Andriyani S and Aisyah A}, title={Strategy to Control Environmental Factors and Community Behavior Based on a Model of the Endemic Incident of Dengue Fever}, proceedings={Proceedings of the 1st International Conference on Environmental Science, Development, and Management, ICESDM 2023, 2 November 2023, Banjarmasin, South Kalimantan, Indonesia}, publisher={EAI}, proceedings_a={ICESDM}, year={2024}, month={8}, keywords={dengue hemorrhagic fever environmental factors community behaviour}, doi={10.4108/eai.2-11-2023.2348013} }
- Pardi Affandi
Anang K
Syalam Ali W
Andriyani S
Aisyah A
Year: 2024
Strategy to Control Environmental Factors and Community Behavior Based on a Model of the Endemic Incident of Dengue Fever
ICESDM
EAI
DOI: 10.4108/eai.2-11-2023.2348013
Abstract
Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus, an infectious disease that is endemic in almost 34 provinces in Indonesia. South Kalimantan Province Health Profile Data for 2022: this disease is related to physical environmental conditions and community behaviour. In 2022, Banjar Regency will have the highest number of dengue fever cases, with 228 cases in South Kalimantan, followed by Banjabaru City with 140 instances and Kotabaru Regency with 139 cases. This research was carried out using a sampling technique design method; primary data on community behaviour was obtained by distributing questionnaires while determining environmental factors that influence dengue fe-ver was done by measuring and collecting water sample data. The distribution of questionnaires and sampling of primary data is carried out by the sample size that will be used as the actual data source, taking into account the nature and distribu-tion of the population. Next, the data input process uses multiple regression test-ing according to the data obtained. The most influential factors were obtained from the regression results, which were then used in the dengue disease model. The results of the dengue disease model can be analyzed so that the results ob-tained can improve appropriate prevention methods for dengue fever.