A trans-disciplinary approach to disease ecology: linking local to regional scales of drivers and biological processes through big data-model integration
Debra P C Peters1, Luis Miguel Rodriguez2, D. Scott McVey3, Emile Elias4, Angela M. Pelzel-McCluskey5, Justin D Derner6, Steven J. Pauszek2, Nathan Dylan Burruss7, Heather Savoy8, Dannele E Peck9, Barbara Drolet10, Lee Cohnstaedt3, Dustin Swanson3, Rachel Palinski2 and Jason Lombard11, (1)USDA-ARS Jornada Exp. Range, Las Cruces, NM, United States, (2)USDA ARS, Orient Point, NY, United States, (3)USDA ARS, Manhattan, KS, United States, (4)New Mexico State Univ, Las Cruces, United States, (5)USDA APHIS, Fort Collins, CO, United States, (6)USDA ARS, Cheyenne, WY, United States, (7)New Mexico State University Main Campus, Las Cruces, NM, United States, (8)USDA ARS, SCINet Big Data Program, Office of National Programs, Beltsville, MD, United States, (9)USDA ARS, USDA Northern Plains Climate Hub, Ft. Collins, United States, (10)USDA ARS, Manhattan, United States, (11)USDA APHIS, Fort Colllins, CO, United States
