Early Warning, Information Systems and database for the surveillance of Avian Influenza

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1 Early Warning, Information Systems and database for the surveillance of Avian Influenza V. Martin, S. von DobSchuetz, A. Lemenach, N. Rass, W. Schoustra; L. DeSimone, H. Meningaux EMPRES group Conference on Wild birds May. Rome

2 EARLY WARNING systems Accurate Timely Value added (integration and analysis) Action oriented (trigger a stream of events) Accessible (Information systems)

3 Early Warning systems Challenges photo credit: WHO

4 EARLY WARNING systems Veterinary Services Surveillance Systems Early Warning Systems Sensitivity & Specificity Data quality Epidemiological understanding Perception of of the the risk risk Time

5 FAO EMPRES Avian Influenza EARLY WARNING system Daily monitoring of the situation since 2004 Data mining through various sources of news providers, personal contacts, field officers Regional networks of epidemiology units and laboratories in place in Asia

6 FAO EMPRES Avian Influenza EARLY WARNING system

7 FAO EMPRES EARLY WARNING system Avian Influenza > 1 January 2006 Poultry density Production data Source: EMPRES-I & GLIPHA

8 Poultry exports 2003 Source: GLIPHA

9 Chickens imports Source: GLIPHA

10 Poultry meat imports Source: GLIPHA

11 FAO EMPRES Avian Influenza EARLY WARNING system Understand AI epidemiology and provide tools for decision makers

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15 Risk Mapping M. Gilbert, ULB Log (poultry density) multiplied by the intersect between HPAI infected flyways and population weighted wintering range of Anatidae

16 FAO EMPRES EARLY WARNING system OUTPUT of THE SYSTEM Avian Influenza

17 Avian Influenza EARLY WARNING system Early Warning System have worked in Europe in 2006 H5N1 detected in more than 700 dead wild birds Only 4 countries experienced outbreak in domestic poultry Closely linked to capacity to respond

18 FAO EMPRES HPAI EARLY WARNING system Since July 2005, the FAO HPAI EW system include the active surveillance of Wild bird population in key ecological sites Improve surveillance in wild birds in order to: - Enable early Detection - Identify changes in virus genome - Increased understanding of AI epidemiology

19 MoA - National Veterinary Services MoE, Office de la Chasse Animal Health Service EMPRES The Royal Veterinary College, UK Université Libre de Bruxelles, Belgium FAO s Wild bird surveillance network

20 Mongolia 2005

21 Wild Bird Surveillance activities in Senegal Photo credit: N. Gaidet, CIRAD

22 FAO EMPRES Avian Influenza EARLY WARNING system Next steps Integrate results of current surveillance activities in wild birds in EMPRES-I Provide system access to community of users Harmonize protocols of surveillance (cost-effective, purpose driven)

23 Avian Influenza EARLY WARNING system The way forward Strengthen collaborative opportunities across disciplines Provide rapid access to surveillance data Link to national surveillance programs Connect with current EW initiatives (GLEWS, Gains, Birdlife International, CIRAD, Wetlands, European Union)

24 The way forward Understand the global picture of Avian influenza ecology Strengthen capacity to respond at regional and local levels

25 The way forward Develop Early Warning Systems based on state of the art technological solutions that enable data exchange and experience sharing

26 The new electronic independence re- creates the world in the image of a global village So does the globalization of trade, movements of animals and people Marshall McLuhan ( ) 1980) Canadian communications and media theorist

27 in the end, it s not about technology, it s about the connection to people. Technology itself enables this connection technology is the campfire of the global village. Louis Rosettoin On McLuhan: Forward Through the Rearview Mirror Qinghai Lake, May 2006