Cargando…
A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies
BACKGROUND: In response to the ongoing COVID-19 pandemic, several countries adopted measures of social distancing to a different degree. For many countries, after successfully curbing the initial wave, lockdown measures were gradually lifted. In Belgium, such relief started on May 4th with phase 1,...
Autores principales: | Coletti, Pietro, Libin, Pieter, Petrof, Oana, Willem, Lander, Abrams, Steven, Herzog, Sereina A., Faes, Christel, Kuylen, Elise, Wambua, James, Beutels, Philippe, Hens, Niel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164894/ https://www.ncbi.nlm.nih.gov/pubmed/34053446 http://dx.doi.org/10.1186/s12879-021-06092-w |
Ejemplares similares
-
Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories
por: Abrams, Steven, et al.
Publicado: (2021) -
The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19
por: Willem, Lander, et al.
Publicado: (2021) -
Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data
por: Franco, Nicolas, et al.
Publicado: (2022) -
CoMix: comparing mixing patterns in the Belgian population during and after lockdown
por: Coletti, Pietro, et al.
Publicado: (2020) -
Clustering of susceptible individuals within households can drive measles outbreaks: an individual-based model exploration
por: Kuylen, Elise, et al.
Publicado: (2020)