The Spatiotemporal Analysis of Dengue Fever in Purwosari District, Gunungkidul Regency, Indonesia

https://doi.org/10.22146/ijg.49366

Indra Agus Riyanto(1), Noor Alia Susianti(2), Ratri Abdatush Sholihah(3), Raden Ludhang Pradipta Rizki(4), Ahmad Cahyadi(5*), Muhammad Naufal(6), Fajri Ramadhan(7), Victor Kusuma Ramadan(8), Awanda Sistia Risky(9)

(1) Master Program on Planning and Management of Coastal Area and Watershed Faculty of Geography Universitas Gadjah Mada, Indonesia
(2) Faculty of Medicine Universitas Gadjah Mada Yogyakarta
(3) Master Program of the Department of Computer Science and Information Engineering National Central University Taiwan.
(4) Department of Microbiology Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada Yogyakarta
(5) Department of Environmental Geography Faculty of Geography Universitas Gadjah Mada Yogyakarta.
(6) Department of Environmental Geography Faculty of Geography Universitas Gadjah Mada Yogyakarta
(7) Department of Environmental Geography Faculty of Geography Universitas Gadjah Mada Yogyakarta
(8) Department of Environmental Geography Faculty of Geography Universitas Gadjah Mada Yogyakarta
(9) Department of Environmental Geography Faculty of Geography Universitas Gadjah Mada Yogyakarta
(*) Corresponding Author

Abstract


From 2014 to 2016, the number of prevalence of Dengue Hemorrhagic Fever (DHF) and deaths associated with DHF in Indonesia increased. DHF fatal cases were also reported from three administrative units in the Special Region of Yogyakarta, namely Bantul Regency, Gunungkidul Regency, and Yogyakarta City. Two related deaths in Purwosari, a district in Gunungkidul, raised the status of DHF to an outbreak. This study was designed to characterize the spread pattern of DHF in its endemic areas in Purwosari District using the retrospective method, anamnesis, in-depth interviews, Geographic Information System (GIS), and environmental analysis. The kernel density estimation revealed that in 2011-2017, DHF was concentrated in four villages, namely Giriasih, Giricahyo, Giritirto, and Giripurwo. There was a correlation between DHF incidents and physical geographical features of these villages, including proximity to water sources, high vegetation density, elevation, humidity, and rainfall, which created habitats for mosquito growth. A high incidence of DHF has been observed in children (50.8%) and students (57.4%), with most cases (78.7%) showing typical symptoms of the disease. A few of the 61 cases in the district developed into dengue shock syndrome (DSS) and led to death (4.9%), mainly because the public was unable to recognize the warning signs of DHF early and had limited knowledge of required management therapy. Moreover, the preventive or precautionary measures known as the 3M-Plus were not fully implemented yet.

 


Keywords


Dengue Fever; GIS Analysis; Physical Geography; Preventive Behavior; Endemicity

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DOI: https://doi.org/10.22146/ijg.49366

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