Cargando…
Communicating uncertainty in epidemic models
While mathematical models of disease transmission are widely used to inform public health decision-makers globally, the uncertainty inherent in results are often poorly communicated. We outline some potential sources of uncertainty in epidemic models, present traditional methods used to illustrate u...
Autores principales: | McCabe, Ruth, Kont, Mara D., Schmit, Nora, Whittaker, Charles, Løchen, Alessandra, Walker, Patrick G.T., Ghani, Azra C., Ferguson, Neil M., White, Peter J., Donnelly, Christl A., Watson, Oliver J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562068/ https://www.ncbi.nlm.nih.gov/pubmed/34749076 http://dx.doi.org/10.1016/j.epidem.2021.100520 |
Ejemplares similares
-
Modelling intensive care unit capacity under different epidemiological scenarios of the COVID-19 pandemic in three Western European countries
por: McCabe, Ruth, et al.
Publicado: (2021) -
The J-IDEA Pandemic Planner: A Framework for Implementing Hospital Provision Interventions During the COVID-19 Pandemic
por: Christen, Paula, et al.
Publicado: (2021) -
COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors' reply
por: Verity, Robert, et al.
Publicado: (2021) -
Adapting hospital capacity to meet changing demands during the COVID-19 pandemic
por: McCabe, Ruth, et al.
Publicado: (2020) -
Disease transmission and control modelling at the science–policy interface
por: McCabe, Ruth, et al.
Publicado: (2021)