IPM GIS Mapping: A Tale of Rats and Maps

1. IPM GIS Mapping: A Tale of Rats and Maps NEHA 2014 AEC Convention Las Vegas, Nevada July 10th, 2014 Joshua D. Witt, REHS Environmental Health Program Manager UCLA Office of Environment, Health & Safety Alan Chen, MPH Environmental Health Program Intern UCLA Office of Environment, Health & Safety

2. UCLA is a small city! Founded Students Faculty & Academic Staff Staff Personnel Total Campus Population Acres People/Acre Number of UC Campuses UCLA Population Density 1919 41,341 10,875 31,262 83,478 419 199.2 10 #1

3. This rodent found a home

4. Our assumptions • UCLA will always have a baseline population of rodents due to the following factors:

5. Open Closed Current approach: IPM combined with rodent bait stations

6. Number of rodent reports 2008: 181 Average 2009-2013: 59.6 Year -67%

7. Sections include: Building name Bait station number Location Status/condition Media Pictures Map of station status Bait station analysis

8. How can we improve? • We shall synthesize and collate large amounts of complex, intersecting information to create innovativesolutions…using GIS

9. What is GIS? • Visualize • Question • Analyze • Interpret

10. What are our overarching goals? • Demonstrate the viability and usefulness of the GIS project to: • Improve campus Integrated Pest Management • Increase stakeholder focus and cooperation • Advocate for situation-appropriate resources

11. The question of the hour: • Where should we reallocate our rodent bait stations and focus our IPM energy to prevent rodent infestations?

12. How did we do it? • Program used: ESRI ArcGIS version 10.1 • To be compatible with UCLA GIS-users • Why is that important? • Some of them have data relevant to this project

13. 116/265 buildings (~44%) We do not service medical center or housing business units Buildings serviced by EH&S

14. Question for YOU • What might be some factors that contribute to rodent infestations?

15. # of trash cans: 616 Trash cans are not rodent proof Trash Cans

16. Demarcated by 10 year increments Shows susceptibility to rodent penetration Oldest currently existing building built in 1921 Age of Building

17. Areas where the campus community consumes food 53 locations Food Facilities

18. Dining Areas 10 dining areas

19. 11 ivy patches Rodent Harborage: Algerian Ivy

20. Loading Docks 35 loading docks 15 are conducive to pests

21. Vending Machines 49 vending machines

22. Yearly rodent incident reports: 2008-2013

23. 6 year collection of rodent incident reports: 2008-2013

24. Bait Stations 269 bait stations

25. GIS shrunk the data by 99.2%! • 1903 data points converted to: • 16 maps • 8 maps of contributing factors • 6 maps of rodent reports, 1 for each individual year 2008-2013 • 1 summary map of all rodent reports 2008-2013 • 1 map of bait station locations • Synthesizing from 1903 to 16 is a giant leap. Can we go even farther? YES!

26. Solution: Suitability Model • A model that weights locations relative to each other based on given criteria • Suitability models might aid in finding a favorable location for a new facility, road, or habitat for a species of bird • Basically, a suitability model “puts it all together”

27. Suitability Model: How we weighted our factors • Rodent Report Locations: 30% • Trash Cans: 20% • Building Age: 10% • Food (facilities + dining areas): 10% • Ivy: 10% • Loading Docks: 10% • Vending Machines: 10%

28. Suitability Model: From 16 to 1

29. What are the big takeaways? • GIS visualization can “connect the dots” • New insight on areas needing bait stations • How else could GIS help us (and YOU)? • GIS is the new version of John Snow’s cholera map • Show that food-borne illness complaints are correlated with location, type, size • Reveal that housing complaints are clustered in a certain area

30. Credits • Credit for project management and creating the GIS maps goes to • Alan Chen, MPH • Airalee E. Rivera • Special thanks to • Jennie Wung, REHS

31. Thank you!