Spatiotemporal mapping of dengue cases in Sleman district, Indonesia year 2014-2017

Simple item page
dc.contributor.authorSulistyawati, Sulistyawatien_US
dc.contributor.authorSukesi, Tri Wahyunien_US
dc.contributor.authorMulasari, Surahma Astien_US
dc.date.accessioned2020-05-06T08:38:52Z
dc.date.available2020-05-06T08:38:52Z
dc.date.issued2019-03
dc.description.abstractBackground: Dengue is a significant public health problem in the mostly tropical country such as Indonesia. Even though many efforts have been established in Indonesia, in fact, dengue remains drawing attention from the health sector. Geographic Information System (GIS) is a powerful tool to support dengue surveillance on understanding the dengue pattern with the goal to give input for the decision maker. Accordingly, there is a need to providing the presence and the dynamic of dengue case particularly in Sleman district to establish evidence on building dengue control strategy.Methods: A descriptive study using GIS was performed to provide a spatial-temporal mapping of dengue case. Secondary data which sourced from Sleman district health office was collected for period 2014-2017. This data was grounded into subdistrict level. Quantum GIS and Microsoft Excel were used to analyse the data.Results: During 2014-2017 dengue spreads over the Sleman district. In 2016, found the increased of subdistrict with high dengue case. The high dengue case found in sub-district with an urban characteristic.Conclusions: Mapping of dengue using GIS is helpful to understanding the disease presence and dynamic disease over time.en_US
dc.identifier.affiliationsDepartment of Public Health, Ahmad Dahlan University, Yogyakarta, Indonesiaen_US
dc.identifier.citationSulistyawati Sulistyawati, Sukesi Tri Wahyuni, Mulasari Surahma Asti . Spatiotemporal mapping of dengue cases in Sleman district, Indonesia year 2014-2017. International Journal of Community Medicine and Public Health. 2019 Mar; 6(3): 971-975en_US
dc.identifier.issn2394-6032
dc.identifier.issn2394-6040
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/201125
dc.languageenen_US
dc.publisherMedip Academyen_US
dc.relation.issuenumber3en_US
dc.relation.volume6en_US
dc.source.urihttps://dx.doi.org/10.18203/2394-6040.ijcmph20190579en_US
dc.subjectDengueen_US
dc.subjectMappingen_US
dc.subjectGISen_US
dc.subjectSlemanen_US
dc.subjectIndonesiaen_US
dc.titleSpatiotemporal mapping of dengue cases in Sleman district, Indonesia year 2014-2017en_US
dc.typeJournal Articleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ijcmph2019v6n3p971.pdf
Size:
356.77 KB
Format:
Adobe Portable Document Format
Download
Collections
International Journal of Community Medicine and Public Health