It can be dangerous to take epidemic curves of COVID-19 at face value

During an epidemic with a new virus, we depend on modelling to plan the response: but how good are the data? The aim of our work was to better understand the impact of misclassification errors in identification of true cases of COVID-19 on epidemic curves. Data originated from Alberta, Canada (avail...

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Detalles Bibliográficos
Autores principales: Burstyn, Igor, Goldstein, Neal D., Gustafson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Special Section on COVID-19: Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309693/
https://www.ncbi.nlm.nih.gov/pubmed/32578184
http://dx.doi.org/10.17269/s41997-020-00367-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309693/
https://www.ncbi.nlm.nih.gov/pubmed/32578184
http://dx.doi.org/10.17269/s41997-020-00367-6

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