Occupancy Modeling for Improved Accuracy and Understanding of Pathogen Prevalence and Dynamics

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. His...

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Detalles Bibliográficos
Autores principales: Colvin, Michael E., Peterson, James T., Kent, Michael L., Schreck, Carl B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349882/
https://www.ncbi.nlm.nih.gov/pubmed/25738709
http://dx.doi.org/10.1371/journal.pone.0116605

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349882/
https://www.ncbi.nlm.nih.gov/pubmed/25738709
http://dx.doi.org/10.1371/journal.pone.0116605

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