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All Journal Tropical Medicine Journal Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Jurnal Riset Kesehatan JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal Administrasi Publik (JAP) Jurnal Gizi dan Dietetik Indonesia (Indonesian Journal of Nutrition and Dietetics) Jurnal Gizi Klinik Indonesia Jurnal Epidemiologi Kesehatan Komunitas Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education Jurnal Paris Langkis Berita Kedokteran Masyarakat Jurnal Manajemen Pelayanan Kesehatan (The Indonesian Journal of Health Service Management) Indonesian Journal of Biomedicine and Clinical Sciences Tarbiyah Darussalam : Jurnal Ilmiah Kependidikan dan Keagamaan
Anis Fuad
Departemen Biostatistik, Epidemiologi, Dan Kesehatan Populasi, Fakultas Kedokteran, Kesehatan Masyarakat, Dan Keperawatan, Universitas Gadjah Mada
Religion Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : Tropical Medicine Journal

 1 
DYNAMICS OF DENGUE HEMORRHAGIC FEVER INCIDENCE WITH SPATIO-TEMPORAL APPROACH IN MARITENGNGAE SUBDISTRICT, SIDENRENG RAPPANG DISTRICT, SULAWESI SELATAN PROVINCE, IN 2008-2009 I Made Swastika; Tri Baskoro Tunggul Satoto; Anis Fuad
Tropical Medicine Journal Vol 1, No 2 (2011): Tropical Medicine Journal
Publisher : Pusat Kedokteran Tropis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1733.507 KB) | DOI: 10.22146/tmj.4570

Abstract

Introduction: Dengue Hemorrhagic Fever (DHF) causes 40% of world population at risk for infection, and 50 million people get infection with as many as 24,000 die every year. Incidence rate in Indonesia, particularly in Maritengngae Subdistrict, Sidenreng Rappang District, is increasing and needed to be controlled. Disease distribution has not been documented regionally. The dynamics of the incidence,that comprises the characteristics of the patient, environmental conditions, susceptibility of mosquitoes resulted from insecticide use, transovarial infectivity, and the incidence pattern were unknown.Objectives: To identify the dynamics of DHF incidence with spatio-temporal approach, includes gender, age, the habit of cleaning the water containers, house density, the density of water containers within the radius of 100 meters from the house of the patient, resistance of the mosquito, and transovarial transmission of Dengue virus.Methods: Subjects were DHF patients in Maritengngae Subdistrict. It was an epidemiological observational study with cross-sectional design and spatio-temporal approach to variables of the study, which included the patient characteristics (age, gender, habit of cleaning the water containers), environmental conditions (house density, water container density within 100 meter radius around the patient’s house), and vector conditions (resistance status to organophosphate insecticide, and transovarial transmission of Dengue virus).Results: Cases of DHF in Maritenggae Sub district, Sidenreng Rappang District, South Sulawesi decreased from 95 cases in 2008 to 38 cases in 2009, except in Kelurahan Majeling. Incidence distribution of DHF in 2008-2009 based on gender were not different (p=1.000), patients with age <15 years old were different from age ≥15 years (P=0.016 and p = 0.013), house density and density of water containers around the patient’s house were not different (p=0.829 and p = 0.538). The habit of cleaning water containers at the house was 43.84%. There were 1.94% of Aedes aegypti samples showed medium resistance (tolerance) status against organophosphat insecticide and 33.33% of samples showed transovarial transmission of Dengue virus. The highest of transovarial transmission occured in Kelurahan Majeling with transovarial transmission index of 100%.Conclusion: The transmission dynamic of DHF in Maritengngae sub district is not influenced by gender, house densities, water container densities, and the frequency of source reduction, but influenced by ages. Most of Ae. aegypti mosquitoes are still susceptible against organophosphate insecticides. The highest of transovarial transmission of dengue virus in Ae. aegypti in Kelurahan Majeling with Transovarial transmission index of 100% may contribute in the increasing of DHF cases in the Kelurahan Majeling in 2009.Keywords: dynamics, dengue, spatio-temporal, Ae. aegypti, Maritengngae.
DEVELOPMENT OF A PROTOTYPE OF MALARIA CLINICAL DIAGNOSTIC DECISION SUPPORT SYSTEM Sudarta Yabesman Harefa; Lutfan Lazuardi; Anis Fuad
Tropical Medicine Journal Vol 1, No 2 (2011): Tropical Medicine Journal
Publisher : Pusat Kedokteran Tropis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.9 KB) | DOI: 10.22146/tmj.4574

Abstract

Introduction : Malaria is a public health problem that still causes mortality, particularly in high risk population. Kabupaten Nias is one of the malaria endemic areas. Malaria diagnosis is mainly determined according to physical examination, despite the fact that laboratory examination is the gold standard of malaria diagnosis. To help health workers in diagnosing malaria accurately, it is necessary to develop a decision support system for malaria diagnosis.Objectives: To develop a prototype of malaria diagnostic decision support system.Methods: It was a descriptive study with action research design to explore each phase in the development of a prototype of malaria diagnostic decision support system. Participants of the study consisted of 5 general practitioners in RSU Gunungsitoli and 2 nurses in Puskesmas Gunungsitoli.Results: The study created an application model of computer-based malaria diagnostic decision support system designed using PHP programming language and MySQL database. This system worked by entering malaria clinical symptoms into the expert system, and data of symptoms were processed by the expert system to determine diagnosis and medical advice that was useful to assist health staff in making decision.Conclusion: Malaria diagnostic decision support system that had been developed attracted the interest of health workers and help them in diagnosing malaria clinically.Keywords: diagnostic decision support system, prototype, malaria, computer application, Gunungsitoli
Co-Authors Adeodatus Yuda Handaya Aditya Lia Ramadona Ahmad Watsiq Maula Al Asyary Arjuna, Tony Atina Husnayain Atina Husnayain Cahyadin Cahyadin Dian Budi Santoso E. Elsa Herdiana Murhandarwati Fitri Hilmiyati Gharini, Putrika Prastuti Ratna Gumilang, Rizki Amalia Guntur Budi Herwanto Hamam Hadi Hanani Melangwala Laumalay Hari Kusnanto Hari Kusnanto Hari Kusnanto Hari Kusnanto Hasan Aroni Herwanto, Guntur Budi Hunainah I Made Swastika Kandung Sapto Nugroho Kusfriyadi, Mars Khendra Kusumasari, Rizqiani Amalia Lastdes Cristiany Friday Sihombing Lutfan Lazuardi Machdum Bachtiar Mahardika Agus Wijayanti Meityn Disye Kasaluhe Muhammad Ali Imron Muhammad Ihsan Awaluddin Muhammad Ihsan Awaluddin Orisativa Kokasih Pajar Sigit Nugroho Ridna Tri Widyaningrum Ridwan Setiawan Rifyal Ahmad Lugowi Riris Andono Ahmad Risalia Reni Arisanti Rumbang Sirojudin Shafwan Shafwan Shofuro Hasana Sudarta Yabesman Harefa supargiyono supargiyono Supriyati Syakbanah, Nur Lathifah Tri Baskoro Tunggul Satoto Uyu Muawanah Vita Arfiana Nurul Fatimah Wafiyyah Rizki Wiariyanti Wasehudin