Cargando…
Improving probabilistic infectious disease forecasting through coherence
With an estimated $10.4 billion in medical costs and 31.4 million outpatient visits each year, influenza poses a serious burden of disease in the United States. To provide insights and advance warning into the spread of influenza, the U.S. Centers for Disease Control and Prevention (CDC) runs a chal...
Autores principales: | Gibson, Graham Casey, Moran, Kelly R., Reich, Nicholas G., Osthus, Dave |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837472/ https://www.ncbi.nlm.nih.gov/pubmed/33406068 http://dx.doi.org/10.1371/journal.pcbi.1007623 |
Ejemplares similares
-
Multiscale influenza forecasting
por: Osthus, Dave, et al.
Publicado: (2021) -
Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability
por: Reich, Nicholas G., et al.
Publicado: (2019) -
Addressing delayed case reporting in infectious disease forecast modeling
por: Beesley, Lauren J., et al.
Publicado: (2022) -
Fast and accurate influenza forecasting in the United States with Inferno
por: Osthus, Dave
Publicado: (2022) -
Probabilistic forecasting and Bayesian data assimilation
por: Reich, Sebastian, et al.
Publicado: (2015)