Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: Case study of COVID-19 in Alberta, Canada and Philadelphia, USA

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The aim of our work was to better understand misclassification errors in identification of true cases of COVID-19 and to study the impact of these errors in epidemic curves. We examined publically available time-series data of laboratory tests for SARS-CoV-2 viral infection, the causal agent for COV...

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Detalles Bibliográficos
Autores principales: Burstyn, Igor, Goldstein, Neal D., Gustafson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276007/
https://www.ncbi.nlm.nih.gov/pubmed/32511580
http://dx.doi.org/10.1101/2020.04.08.20057661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276007/
https://www.ncbi.nlm.nih.gov/pubmed/32511580
http://dx.doi.org/10.1101/2020.04.08.20057661

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