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Structure of ArboNET and summary of West Nile Virus Activity

Structure of ArboNET and summary of West Nile Virus Activity . The Arbonet Team Division of Vector-Borne Infectious Diseases Centers for Disease Control & Prevention Fort Collins, Colorado. Chet Moore Colorado State University Fort Collins, CO. ArboNET Database.

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Structure of ArboNET and summary of West Nile Virus Activity

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  1. Structure of ArboNET and summary of West Nile Virus Activity The Arbonet Team Division of Vector-Borne Infectious Diseases Centers for Disease Control & Prevention Fort Collins, Colorado Chet Moore Colorado State University Fort Collins, CO

  2. ArboNET Database Keep it simple – avoid complex and multi-layered data entry screens whenever possible Build data entry screens to work the way data entry clerks actually enter the data Where possible, build compatibility with other data collection systems (e.g., NEDSS, etc.) “Users don’t know what they really want, but they know for certain what they don’t want."Manubay’s Laws for Programmers

  3. Use drop-down lists, auto-fill and other time savers whenever possible (automatically calculate totals, statistics, etc.) Build error checking routines into the software Use lists to prevent spelling errors and similar problems "Never attribute to malice that which is adequately explained by incompetence."Hanlon's Razor

  4. Historical Perspective Progression of West Nile Virus Activity in the United States, 1999-2005

  5. 1999

  6. 2000

  7. 2001

  8. 2002

  9. 2003

  10. 2004

  11. 2005

  12. WNV Surveillance Totals, US, 1999-2005* * Reported as of 5/5/2006 † Plus DC ‡ Plus Puerto Rico ** Excludes 1999

  13. Observed & Predicted WNV Events, 2000 Sentinel wild bird, Suffolk Horse, Richmond Oc. japonicus, Westchester; Cx. pipiens, Richmond Sentinel Chicken, Westchester Predicted Observed Human, Richmond Human Viral activity (inferred) Crow, Suffolk Crow, Richmond Horse Sentinels Mosquito Crow Jun Jul Aug Sep Apr May Oct

  14. Innovative Vector Control Consortium (IVCC) Dengue Decision Support System Liverpool School of Tropical Medicine Colorado State University University of California, Davis South African Medical Research Council Funded by Bill and Melinda Gates Foundation

  15. End users (Field sites, national programs) Data sent Low-cost software (SIG Epi) • Database • GIS • Statistics Data/maps retrieved Web server (Central site; CSU) Dengue databases Other resources • Reprint database • Guidelines & SOP’s • Links to other sites Ae. aegypti density Map server/GIS Insecticide resistance DEN seroprevalence Spatial analysis software (ArcGIS, SIG Epi, R) Non-spatial statistics software (R) Spatial data layers Other data sets Streets/roads Hydrology Dengue model Land use/land cover Other data layers A possible scheme of software and data organization for the Dengue Decision Support System (DDSS)

  16. Incidence per million .01-9.99 Any WNV Activity 10-99.99 >=100 WNND County Level Incidence per Million, United States, 2002

  17. Incidence per million .01-9.99 Any WNV Activity 10-99.99 >=100 WNND County Level Incidence per Million, United States, 2003

  18. Incidence per million .01-9.99 Any WNV Activity 10-99.99 >=100 WNND County Level Incidence per Million, United States, 2004

  19. WNND County Level Incidence per Million, United States, 2005* Incidence per million .01-9.99 Any WNV Activity 10-99.99 >=100 • Reported as of 5/5/2006

  20. Human WNV Disease Cases, by Age Group and Clinical Category, United States, 2005* * Reported as of 5/5/2006

  21. West Nile virus neuroinvasive disease cases by age group and gender, 1999-2005* * Reported as of 5/5/2006

  22. Age Distribution of Fatal Human WNND Cases, United States, 2005* * Reported as of 5/5/2006

  23. Dengue Decision Support System (DDSS) Dengue Information System (DIS): • GIS data repository • Dengue surveillance • Mosquito surveillance • Insecticide resistance monitoring Dengue Resource Library (DRL): • Data-base for Aedes aegypti insecticide resistance • Dengue / Ae. aegypti pdf library • Web-links to Ae. aegypti / dengue data-bases Dengue Models (DM): • Mosquito simulation model (CIMSiM) • Dengue simulation model (DENSiM) Dengue Decision Guide (DDG): • Guidelines for usage of web- based DDSS • Cost analyses • Vector control guidelines • Decision tree for dengue management IVCC-DDSS web-page

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