Project: RESTORE: REalistic forecaSTing, cOntrol and pREparedness for coming COVID-19 waves
2020-05-22 – 2021-05-31
- Abstract
Over the following months Belgian society will be asked to adapt its
behavior in order to keep the COVID-19 outbreak under control and
not to jeopardise our healthcare system. This calls for an expertbased
policy that is supported by accurate medium-term model
forecasts on the further COVID-19 progression to assess the impacts
of possible control and containment measures. For that purpose, we
will start from established population-based SEIR-models and extend
these to account for age- and space-dependent disease dynamics,
the stochasticity intrinsic to disease spread and hospital bed capacity.
These extended models will be complemented with a socioeconomic
model to quantify the effects of measures on consumption, labor
supply and economic activity. Finally, a controller will be developed
that interacts with the aforementioned models to identify the optimal
set of control and mitigation measures. The extended and holistic
SEIR modeling framework offers a solid basis for providing Belgian
healthcare institutions and policy makers with more accurate
predictions. Currently, the consortium already provides short-term
forecasts to policy makers, and hence it has all connections and
simple models in place to guarantee a swift delivery of improved
tools.
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- Journal Article
- A1
- open access
A stochastic mobility-driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines
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- Journal Article
- A1
- open access
Mobility and the spatial spread of SARS-COV-2 in Belgium
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- Journal Article
- A1
- open access
Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data
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Cost-effectiveness of COVID-19 policy measures : a systematic review