Environment and host infection history jointly predict disease risk in a multi-pathogen system
By integrating machine learning and Bayesian modeling on over 41,000 plant observations, this study demonstrates that combining environmental conditions with a host's prior infection history significantly improves the prediction of disease risk and reveals that pathogen-pathogen interactions can be as critical as abiotic factors in driving seasonal epidemics.