Targeting Surra interventions in Mindanao using Remote Sensing, Geographic Information System and Global Positioning System Jennifer A. Alforque Agriculturist II Department of Agriculture Regional Field Unit No. XI Davao City

MUSCA POST RADDL - RFU XIII P 39,600 RADDL - RFU X P 40,800 RADDL – ARMM P 33,000 RADDL - RFU IX P 40,800 Mindanao RADDL – RFU XII P 33,000 RADDL-RFU XI P 43,200 Allocation for drugs and supplies per region: (2006) Total: P230,400

Flowchart of GIS analysis and modeling for identifying potential high and low Surra risk areas ADMINISTRATIVE BOUNDARIES CLIMATE DEMOGRAPHY TOPOGRAPHY RAINFALL POPULATION DENSITY DEM MUNICIPAL BOUNDARIES reclass interpolate RAINFALL PATTERNS ELEVATION intersect POTENTIAL SURRA HIGH-RISK AREAS IDENTIFIED Decision-makers

Rainfall Patterns 1 = low rainfall distribution [low risk] 10 = high rainfall distribution [high risk)

Rainfall patterns

Elevation 1 = high elevation (low risk) = not suitable for flies 10 = low elevation (high risk) = suitable for flies

High Risk Population Total Positive Cases

Acknowledgements Dr. David Bourn Dr. Jose Molina Dr. Neil Bantayan Prof. Jun Tiburan Co-participants Resource persons

Daghang salamat sa pagpaminaw! [Thank you for listening!]