Data from: Imperfect pathogen detection from non-invasive skin swabs biases disease inference

Graziella V. DiRenzo, Evan H. Campbell Grant, Ana V. Longo, Christian Che-Castaldo, Kelly R. Zamudio & Karen R. Lips
1. Conservation managers rely on accurate estimates of disease parameters, such as pathogen prevalence and infection intensity, to assess disease status of a host population. However, these disease metrics may be biased if low-level infection intensities are missed by sampling methods or laboratory diagnostic tests. These false negatives underestimate pathogen prevalence and overestimate mean infection intensity of infected individuals. 2. Our objectives were two-fold. First, we quantified false negative error rates of Batrachochytrium dendrobatidis on...
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