Cargando…
Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
As COVID-19 is rapidly spreading across the globe, short-term modeling forecasts provide time-critical information for decisions on containment and mitigation strategies. A major challenge for short-term forecasts is the assessment of key epidemiological parameters and how they change when first int...
Autores principales: | Dehning, Jonas, Zierenberg, Johannes, Spitzner, F. Paul, Wibral, Michael, Neto, Joao Pinheiro, Wilczek, Michael, Priesemann, Viola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239331/ https://www.ncbi.nlm.nih.gov/pubmed/32414780 http://dx.doi.org/10.1126/science.abb9789 |
Ejemplares similares
-
Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements
por: Wilting, Jens, et al.
Publicado: (2018) -
The challenges of containing SARS-CoV-2 via test-trace-and-isolate
por: Contreras, Sebastian, et al.
Publicado: (2021) -
Sampling effects and measurement overlap can bias the inference of neuronal avalanches
por: Neto, Joao Pinheiro, et al.
Publicado: (2022) -
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity
por: Spitzner, F. P., et al.
Publicado: (2021) -
Low case numbers enable long-term stable pandemic control without lockdowns
por: Contreras, Sebastian, et al.
Publicado: (2021)