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GIS DALAM SURVEILANS EPIDEMIOLOGI

GIS DALAM SURVEILANS EPIDEMIOLOGI. Mengapa GIS penting Dalam Surveilans ?. Surveillance: What is the problem?. Implementation: How do you do it?. Public Health Approach. Intervention Evaluation: What works?. Risk Factors identification, “What is the cause”. Problem. Response.

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GIS DALAM SURVEILANS EPIDEMIOLOGI

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  1. GIS DALAMSURVEILANS EPIDEMIOLOGI

  2. Mengapa GIS pentingDalam Surveilans ?

  3. Surveillance: What is the problem? Implementation: How do you do it? Public Health Approach Intervention Evaluation: What works? Risk Factors identification, “What is the cause” Problem Response

  4. Ingat Definisi Epidemiologi...? Mempelajari Masalah Kesehatan Orang Tempat Waktu Faktor Determinan Solusi Masalah Kesehatan

  5. GIS(Geographical Information System) Definisi : • Sistim Informasi Geogrfis (SIG) • Sistem Informasi yang berbasiskan Geografi. • Banyak Software GIS. : Arch Info, Arch View, Map Info, Epi Info,

  6. GIS dalam Surveilans Epidemiologi Kemampuan yang harus dimiliki oleh seorang Epidemiologist adalah : • Kemampuan membuat informasi masalah kesehatan yg terkait dengan aspek tempat/geografi/ spasial/ruang. • Kemampuan untuk melakukan analisis korelasi masalah kesehatan dengan tempat / geografi. • Banyak masalah kesehatan yang faktor risikonya ada keterkaitan dengan aspek tempat.

  7. Contoh : pemanfaatan GIS dalam Surveilans

  8. Global Dengue Epidemiology 1960s Angka kejadian meningkat 1000 kali 1990s Dengue fever only DHF/DSS Dengue007/CMH/260302

  9. Estimasi populasi yg terkena risiko DBD “terendah” skenario perubahan iklim: 1990, 2085 1990 2085 . Source. Hales S et al. Lancet (online) 6 August 2002. http://image.thelancet.com/extras/01art11175web.pdf

  10. Peta Sebaran DBD Source: WHO, 2004

  11. INCIDENCE OF DHFPer Province In Indonesia, 2007 <5 5-19 20-50 >50 IR=incidence rate (per 100,000 penduduk)

  12. TREND DBD DI DKI JAKARTA 2006 2003 2004 2005 MAPPING MORBIDITY OF DHF (INCIDENCE RATE - IR) IN DKI JAKARTA (2003-2006) (per 100.000 population per village) IR < 100 cases per village IR 100 - 200 cases per village IR > 200 cases per village

  13. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2006

  14. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2007

  15. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2008

  16. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2009

  17. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2010

  18. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2011

  19. DHF’S CASES BY ADDRESS & POTENTIAL RISK OF SPREADING IN CITY OF PADANG 2012

  20. Contoh :Pemanfaatan GIS Yang Sifatnya Analitik

  21. GAMBARAN UMUM KECAMATAN WADASLINTANG

  22. PersebaranKasusChikungunyaBerdasarkanKepadatan Larva danHubunganKejadianChikungunyadenganKepadatan Larva

  23. DISTRIBUSI KASUS DBD BERDASARKANINDEKSKEPADATAN JENTIK • 1. Distribusi Kasus DBD Berdasarkan HouseIndex (HI) • 2. Distribusi Kasus DBD Berdasarkan Container Index (CI) • 3. Distribusi Kasus DBD Berdasarkan BreteauIndex (BI)

  24. Terima kasih

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