Site‐occupancy modelling as a novel framework for assessing test sensitivity and estimating wildlife disease prevalence from imperfect diagnostic tests

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Dealing with false‐positive and false‐negative errors about species occurrence at multiple levels (2017, background): “…framework for dealing with uncertainty in disease ecology (McClintock et al. 2010b), where it has been applied to study malaria prevalence in wild birds (Lachish et al. 2012) and chytridiomycosis prevalence in amphibians (Miller et al. 2012a), under the assumption of no false-positive errors.”
Advances and applications of occupancy models (2014, methodology): “…of infection intensity is available, utilizing an approach that models detection probability as a function of the latent distribution of pathogen abundance should reduce the bias in prevalence caused by heterogeneity in Bd detection among individuals (Royle & Nichols 2003; Lachish et al. 2012).”
Site occupancy models in the analysis of environmental DNA presence/absence surveys: a case study of an emerging amphibian pathogen (2013, methodology): “Recently, Lachish et al. (2012) and Miller et al. (2012) provided methods to deal with heterogeneity in the context of disease ecology.”