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Occupancy modeling for improved accuracy and understanding of pathogen prevalence and dynamics

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Michael E. Colvin, James T. Peterson, Michael L. Kent, and Carl B. Schreck, 2015, Occupancy modeling for improved accuracy and understanding of pathogen prevalence and dynamics: PLoS ONE, v. 10, iss. 3.

Summary

Most pathogen detection tests are imperfect, with a sensitivity < 100%, thereby resulting in the potential for a false negative, where a pathogen is present but not detected. False negatives in a sample inflate the number of non-detections, negatively biasing estimates of pathogen prevalence. Histological examination of tissues as a diagnostic test can be advantageous as multiple pathogens can be examined and providing important information on associated pathological changes to the host. However, it is usually less sensitive than molecular or microbiological tests for specific pathogens. Our study objectives were to 1) develop a hierarchical occupancy model to examine pathogen prevalence in spring Chinook salmonOncorhynchus tshawytscha [...]

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Harvested on Thu Jun 30 04:21:25 MDT 2016 from MODS XML Service

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Type Scheme Key
local-index unknown 70173595
local-pk unknown 70173595
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1371/journal.pone.0116605
series unknown PLoS ONE

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citationTypeArticle
journalPLoS ONE
languageEnglish
parts
typevolume
value10
typeissue
value3

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