Description du projet
Nouvelles statistiques épidémiologiques: les enseignements tirés de la COVID‑19
La pandémie de SARS‑Cov-2 a mis en évidence l’importance d’une identification rapide des épidémies de virus et de stratégies de contrôle optimales. Le projet BERNADETTE, financé par l’UE, travaille sur une nouvelle méthodologie statistique pour la modélisation des maladies infectieuses telles que la COVID‑19. Ces travaux devraient aider les scientifiques à comprendre divers aspects de la maladie et à quantifier l’effet des interventions non pharmaceutiques. En outre, ils permettront d’étudier l’impact socio‑économique des différentes stratégies de réponse aux épidémies humaines et d’aider à la prise de décision. La mise en œuvre de ce modèle permettra d’améliorer les politiques de santé publique, ainsi que la planification de la préparation en Europe et dans le reste du monde.
Objectif
The ultimate goal of this Fellowship, titled “Bayesian infEReNce And moDel sElecTion for sTochastic Epidemics” (BERNADETTE), is to train a talented researcher through a research project focused on the development of novel statistical methodology for the modeling of infectious diseases like COVID-19. The success of the interdisciplinary project will lead to a number of multidisciplinary innovations in epidemiology, Public Health policy and statistics, which will contribute to the timely identification of optimal disease control strategies. The Fellow – Dr. Lampros Bouranis – will be trained in the fields of statistics and epidemiology, receiving access to a unique training experience at the host – Department of Statistics, Athens University of Economics and Business (AUEB) – and co-hosts. The BERNADETTE outputs will be relevant to healthcare and the EU Epidemic intelligence, by: i) offering novel statistical methodology for the analysis of COVID-19 outbreak data and the description of a number of aspects of the underlying infection pathway of the disease, ii) quantifying the effect of non-pharmaceutical interventions based on an epidemic model, iii) allowing for the forecasting of future case number scenarios, iv) contributing in the assessment of the socio-economic impact of different response strategies for human epidemics in Europe in order to improve European preparedness planning and support decision-making in the framework of national epidemic preparedness plans. The BERNADETTE outputs will contribute to the enhancement of EU scientific excellence. Additionally, the project will enable the establishment of a long-term collaboration between the host and co-hosts, bringing the centers of European research excellence together.
Champ scientifique
Programme(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
11251 Athens
Grèce