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Abstract: Confounding effects via spatially-varying demographic factors upon West Nile virus surveillance in Illinois identified using a Bayesian functional data analysis model (AGU25)

Confounding effects via spatially-varying demographic factors upon West Nile virus surveillance in Illinois identified using a Bayesian functional data analysis model

Adam Tonks, University of Illinois at Urbana Champaign, Department of Statistics, Urbana, United States, Lelys Bravo De Guenni, University of Illinois at Urbana Champaign, Statistics, Urbana, United States and Rebecca L. Smith, University of Illinois at Urbana Champaign, Department of Pathobiology, Urbana, United States