Author: Nicholas M. Fountain-Jones; Craig Packer; Maude Jacquot; F. Guillaume Blanchet; Karen Terio; Meggan E. Craft
Title: Chronic infections can shape epidemic exposure: Pathogen co-occurrence networks in the Serengeti lions Document date: 2018_7_17
ID: 4718pdtk_23
Snippet: As part of the SLP, most of the individuals in this study have been regularly observed since birth (Mosser & Packer 2009). We selected 13 predictor variables that we thought were likely to be important for pathogen exposure and thus could confound possible interaction patterns (Table 2 ). We included variables that captured individual variability (e.g., age at sampling), and pride characteristics including environmental variables (e.g., average v.....
Document: As part of the SLP, most of the individuals in this study have been regularly observed since birth (Mosser & Packer 2009). We selected 13 predictor variables that we thought were likely to be important for pathogen exposure and thus could confound possible interaction patterns (Table 2 ). We included variables that captured individual variability (e.g., age at sampling), and pride characteristics including environmental variables (e.g., average vegetation cover of the pride's territory; see Table 2 for measurement details). We attempted to calibrate each predictor set based on possible epidemic year (e.g., calculating rainfall for the year the individual was co-infected by the acute pathogen) as determined by Packer et al. (1999) ,
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