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Elisabeta Vergu

Researcher at Institut national de la recherche agronomique

Publications -  10
Citations -  1052

Elisabeta Vergu is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 1 publications receiving 965 citations. Previous affiliations of Elisabeta Vergu include Pierre-and-Marie-Curie University & French Institute of Health and Medical Research.

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Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies

TL;DR: Prior expert opinion on the duration of viral shedding or the frequency of asymptomatic influenza infection is confirmed, prior knowledge on the dynamics of viral shed and symptoms is extended, and original results on the frequencyof respiratory symptoms or fever are provided.
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The African swine fever modelling challenge: Model comparison and lessons learnt.

TL;DR: The ASF Challenge as mentioned in this paper focused on a synthetic epidemic of African swine fever (ASF) on an island and compared five independent international teams' modeling approaches to predict temporal and spatial epidemic expansion at the interface between domestic pigs and wild boar.
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Predicting veal-calf trading events in France.

TL;DR: In this article , the authors developed a statistical framework for predicting trading events using predictors accessible from routinely collected data, focusing on veal calves, a category of animals with significant commercial value; the dataset considered the veal calf trade in France between January 2011 and June 2019.
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Inferring ASF transmission in domestic pigs and wild boars using a paired model iterative approach.

TL;DR: In this article , the authors proposed a modeling approach based on a stochastic mechanistic model and an inference procedure to estimate key transmission parameters from provided data (incomplete and noisy) and generate forecasts for unobserved time horizons.
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Dynamic resource allocation for controlling pathogen spread on a large metapopulation network

TL;DR: A greedy approach is adapted to the metapopulation framework, obtaining new scores that minimize approximations of two different objective functions, for two control measures: vaccination and treatment of a livestock disease that propagates on an animal trade network according to an epidemiological–demographic model based on animal demographics and trade data.