The Spatial Analysis for Malaria Surveillance in Yogyakarta Special Region, Indonesia : A Cross Sectional Study


Fatma Nuraisyah, - and Hari Kusnanto, - and Sukri Palutturi, - and Nova Nurlaily, - and Panggita Adistiyapuri, - and Apriyana Irjayanti, - and Wahida Mapandin, - and Vidya Aries Anggraini, - and Rochana Ruliyandari, - and Sugiarto, - The Spatial Analysis for Malaria Surveillance in Yogyakarta Special Region, Indonesia : A Cross Sectional Study. https://www.researchsquare.com/article/rs-720987/v1.

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Abstract (Abstrak)

Background
Malaria case elimination have been seriously issue. Although the prevalence of malaria cases in Indonesia has decreased from 1.3% (2013) to 0.6% (2017), the policy of has been eliminating malaria cases remains unresolved problem. Kulon Progo is one of contributes to malaria cases in Special Region Yogyakarta. Although number of cases has been decreasing year, malaria transmission continues to be a significant.
Purpose
Strengthen the surveillance system and cluster areas of malaria cases through Q-GIS with buffering analysis and spatial analysis in Kulon Progo District in 2015–2018.
Method:
Cross sectional was done. Instruments include secondary data on malaria cases occurring from 2015 to 2018 and confirmation data sheets. The questionnaire was used to collected data from 240 respondents.
Results
Malaria case trend was in the watershed area at a distance of < 250meters in Kokap Sub-district. Malaria cases were mostly found in rice fields with a distance of < 250meters in Samigaluh Sub-district. All malaria cases were in the garden areas of < 250meters in Nanggulang and the forest area of > 250meters in the Kalibawang Sub-district.
Conclusion
Probability malaria transmission are river, rice fields and gardens. It is necessary to hold training on the use of the Q-GIS application for surveillance officers.

Item Type: Article
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Depositing User: - Andi Anna
Date Deposited: 23 Nov 2022 02:29
Last Modified: 23 Nov 2022 02:29
URI: http://repository.unhas.ac.id:443/id/eprint/23485

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