Descrizione del progetto
Statistica epidemiologica innovativa: insegnamenti dalla COVID-19
La pandemia da SARS-CoV-2 ha messo in evidenza l’importanza di identificare tempestivamente le epidemie di virus e di strategie ottimali di controllo. Il progetto BERNADETTE, finanziato dall’UE, sta lavorando a una nuova metodologia statistica per la modellizzazione di malattie infettive come la COVID-19. Si ritiene che questo lavoro aiuterà gli scienziati a comprendere diversi aspetti patologici e a quantificare l’effetto degli interventi non farmaceutici. Inoltre, tale progetto affronterà gli impatti socioeconomici di varie strategie di risposta per le epidemie umane e sosterrà il processo decisionale. L’attuazione di questo modello migliorerà le politiche di sanità pubblica e la pianificazione della capacità d’intervento in Europa e nel resto del mondo.
Obiettivo
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.
Campo scientifico
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Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
11251 Athens
Grecia