Prediction Insecurity Outbreak Of DHF In Endemic Areas In Surabaya Repository

Prediction Insecurity Outbreak Of DHF In Endemic Areas In Surabaya

Ruth Anggrainy Anike Wijaya and R. Azizah and Agoes Soegianto (2016) Prediction Insecurity Outbreak Of DHF In Endemic Areas In Surabaya. International Journal of scientific research and management, 4 (8). pp. 4573-4576. ISSN 2321-3418

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Official URL: https://www.ijsrm.in/index.php/ijsrm/

Abstract

Background : Dengue Hemorrhagic Fever (DHF) became known in Indonesia since 1968 in Surabaya and Jakarta. in 2015 a total of DHF patients in the city of Surabaya is 640 people with a total of 10 deceased people. Data obtained from East Java Health Office in 2015 showed the mortality rate from DHF patients has increased from 2014, that reaching 1.56 percent from the previous year which only reached 1.01 percent. Methods : The purpose of this study was to map the distribution of dengue cases as predictions of insecurity outbreak of dengue in endemic areas of the city of Surabaya. This study is a descriptive observational based Geographic Information System, used quantitative methods that combine design time series with retrospective. Result : The respondents were DHF patients amounted to 103 patients. Geo-location data obtained from the patient Surabaya City Health Department to map the distribution of the case. The results showed that dengue cases peaked on April. Manukan Kulon, Sememi, Kemayoran, Banyu Urip, Babat Jerawat, Moro Krembangan, Genteng and Sidotopo Wetan are areas of high risk in endemic areas in Surabaya. Manukan Kulon is an area with a high vulnerability due in June - December 2015 has the most number of cases. So that these villages needs to increase vigilance against outbreaks of dengue. Conclusion : It can be concluded should be increased efforts to control dengue in Manukan Kulon village, especially on March to prevent the increase in the number of cases on April.

Item Type:

Article

Uncontrolled Keywords:

prediction insecurity, outbreaks, DHF

Subjects:

R Medicine

Divisions:

10. Fakultas Kesehatan Masyarakat

Creators: