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All Journal Indonesian Journal of Geography
Rizki, Raden Ludhang Pradipta
Department Of Microbiology Faculty Of Medicine, Public Health And Nursing, Universitas Gadjah Mada Yogyakarta
Earth & Planetary Sciences

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The Spatiotemporal Analysis of Dengue Fever in Purwosari District, Gunungkidul Regency, Indonesia Indra Agus Riyanto; Noor Alia Susianti; Ratri Abdatush Sholihah; Raden Ludhang Pradipta Rizki; Ahmad Cahyadi; Muhammad Naufal; Fajri Ramadhan; Victor Kusuma Ramadan; Awanda Sistia Risky
Indonesian Journal of Geography Vol 52, No 1 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1500.815 KB) | DOI: 10.22146/ijg.49366

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. 
Geographic Accessibility to Primary Healthcare: Study Case Dengue Fever in Purwosari Sub-District, Gunungkidul Regency, Yogyakarta, Indonesia Noor Alia Susianti; Indra Agus Riyanto; Novia Ismayuni; Raden Ludhang Pradipta Rizki; Ahmad Cahyadi
Indonesian Journal of Geography Vol 55, No 2 (2023): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.64967

Abstract

Distribution and spatial analysis of public healthcare in Indonesia are rarely discussed. Most of the research tell about quantity and quality which do not mention the spatial aspect. This research purposes to know the relationship between health facilities selection and geographic conditions by combining medical facilites data, number of doctor and spatial analysis approach. The selected study areas are referral health facilities chosen by DHF (Dengue Hemorrhagic Fever) patients in Purwosari District, Gunungkidul Regency. Information was collected by interviews and field measurements (altitude and location plotting) and also secondary data collection (hospital accreditation data, number of doctors, and number of beds). GPS, Altimeter, ArcGIS, and SPSS used for data collection and analysis. The spatial analysis method in this research were kernel density, buffer, ruler, and altitude of each facility. Meanwhile, the medical analysis approach used Pearsons' correlation and multinomial logistic regression in SPSS. The results of the spatial analysis show that the DHF patients in Purwosari dominantly choose health facilities in Bantul Regency because of having closer distance, relatively short travel time, lower elevation, and many health facilities centers. At the same time, Puskesmas Purwosari (Sub-district level Health center) was only chosen as an early reference and a place for treating mild dengue patients. In addition, distance, duration of travel time, and the number of doctors had a strong correlation based on the Pearson's correlation. These three variables have the greatest linear relationship with the response variable. Meanwhile, some variables; elevation, number of doctors, accreditation, and number of beds were considered by patients in choosing a hospital based on multinomial logistic regression analysis.
Co-Authors Ahmad Cahyadi Ahmad Cahyadi **) Awanda Sistia Risky Fajri Ramadhan Indra Agus Riyanto Indra Agus Riyanto Muhammad Naufal Novia Ismayuni Ratri Abdatush Sholihah Susianti, Noor Alia Victor Kusuma Ramadan