Predicting influenza-like illness-related emergency department visits by modelling spatio-temporal syndromic surveillance data

Predicting the magnitude of the annual seasonal peak in influenza-like illness (ILI)-related emergency department (ED) visit volumes can inform the decision to open influenza care clinics (ICCs), which can mitigate pressure at the ED. Using ILI-related ED visit data from the Alberta Real Time Syndro...

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Detalles Bibliográficos
Autores principales: Martin, L. J., Dong, H., Liu, Q., Talbot, J., Qiu, W., Yasui, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003624/
https://www.ncbi.nlm.nih.gov/pubmed/31787127
http://dx.doi.org/10.1017/S0950268819001948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003624/
https://www.ncbi.nlm.nih.gov/pubmed/31787127
http://dx.doi.org/10.1017/S0950268819001948

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