Main Article Content
Abstract
Dengue Hemorrhagic Fever (DHF) is one of the public health issues that remains a serious concern in Lampung Province. This study aims to analyze dengue fever case trends in Lampung during the period 2015–2024 using secondary data from the Lampung Provincial Health Office. The methods used include data pre-processing to ensure completeness of information, as well as trend analysis using Moving Average (MA 3 and MA 6) to capture patterns of case fluctuations. Data visualization is presented in the form of trend graphs and spatial heatmaps based on maps of Lampung to illustrate the distribution of cases per district/city from year to year. The analysis results show a fluctuating pattern with an upward trend in cases during certain periods, as well as a high concentration of cases in urban areas with large population densities. These findings emphasize the importance of data-driven surveillance in planning health interventions. The conclusion of this study is that trend analysis can provide a comprehensive picture of the dynamics of dengue cases in Lampung, so that it can be used as a reference for the Health Office in formulating more targeted policies for dengue fever control and prevention.
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References
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References
Enitan, D. S. S., Abbas, K. S., Elrufai, R. R. H., Umukoro, S., Tsague, C. L. M., Nwafor, I. R., Adole, A. R., Omoare, A. A., Eke, S. S., Gbise, D. S., Edafetanure-Ibeh, O. M., Adebanjo, A. A., Onyeshidi, F. N., Okuneye, A. O., & Onyeji, C. B. (2024). Advancing Dengue Fever Preparedness in Africa: Challenges, Resilience, and Contributions to Global Health. Acta Elit Salutis, 9(1). https://doi.org/10.48075/aes.v9i1.33267
Khairulbahri, M. (2022). Understanding the Dynamics of Dengue Haemorrhagic Fever (DHF) in Indonesia and its Sustainable Solution: a Qualitative Perspective. Science and Technology Asia, 27(2), 217–226. https://doi.org/10.14456/scitechasia.2022.38
Liawatimena, S. (2023). Artificial Intelligence (Issue May).
P2pm. (2024). Lampung Health Office Dengue Fever Report 2015 - 2024. Dengue Fever Report, 9
Ria Agustin, V., Cintya Resti, N., Fadilatul Ilmiyah, N., Tadris Matematika, P., & Kediri, I. (2025). Application of the ARIMA Method in Forecasting the Number of Dengue Hemorrhagic Fever
Patients in Kediri City.5(1), 2580–460. https://conferences.uin-malang.ac.id/index.php/
Sais, V. C., Sari, M., Halim, H., & Alfara, L. D. (2024). Demographic and Predictor Factors of Severe Dengue in Children At Sumber Waras Hospital: a Retrospective Observational Study. E-Jurnal Medika Udayana, 13(11), 21. https://doi.org/10.24843/mu.2024.v13.i11.p04