Cargando…
Optimal multi-source forecasting of seasonal influenza
Forecasting the emergence and spread of influenza viruses is an important public health challenge. Timely and accurate estimates of influenza prevalence, particularly of severe cases requiring hospitalization, can improve control measures to reduce transmission and mortality. Here, we extend a previ...
Autores principales: | Ertem, Zeynep, Raymond, Dorrie, Meyers, Lauren Ancel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138397/ https://www.ncbi.nlm.nih.gov/pubmed/30180212 http://dx.doi.org/10.1371/journal.pcbi.1006236 |
Ejemplares similares
-
Seasonality in risk of pandemic influenza emergence
por: Fox, Spencer J., et al.
Publicado: (2017) -
Optimizing Provider Recruitment for Influenza Surveillance Networks
por: Scarpino, Samuel V., et al.
Publicado: (2012) -
Projecting the Combined Health Care Burden of Seasonal Influenza and COVID-19 in the 2020–2021 Season
por: Du, Zhanwei, et al.
Publicado: (2022) -
Forecasting Peaks of Seasonal Influenza Epidemics
por: Nsoesie, Elaine, et al.
Publicado: (2013) -
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
por: Reich, Nicholas G., et al.
Publicado: (2019)