Author: Nicholas Fountain-Jones; Gustavo Machado; Scott Carver; Craig Packer; Mariana Mendoza; Meggan E Craft
Title: How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure Document date: 2019_3_6
ID: jc5c87b9_3_1
Snippet: see if exposure risk could vary with each outbreak (see 376 Fig. S5 for a summary of all interactions detected). For CDV, the strongest interaction with 377 epidemic year was age exposed (Fig. 4a) . Even though exposure risk was predicted to be 378 reasonably similar in each CDV outbreak (Fig. S6).....
Document: see if exposure risk could vary with each outbreak (see 376 Fig. S5 for a summary of all interactions detected). For CDV, the strongest interaction with 377 epidemic year was age exposed (Fig. 4a) . Even though exposure risk was predicted to be 378 reasonably similar in each CDV outbreak (Fig. S6)
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