Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures

Resumen del trabajo presentado en la BIFI International Conference: The Science of Covid-19: From molecular drug design to data-driven epidemiological models, celebrada en Zaragoza (España), del 7 al 9 de junio de 2022

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Bibliographic Details
Main Authors: Blecua, Javier, Fernández-Recio, Juan
Format: comunicación de congreso biblioteca
Published: 2022-06-07
Subjects:COVID-19 modelling, Non-pharmacological measures, Mechanistic model, Bayesian analysis,
Online Access:http://hdl.handle.net/10261/303747
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spelling dig-icvv-es-10261-3037472023-03-21T13:52:09Z Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures Blecua, Javier Fernández-Recio, Juan COVID-19 modelling Non-pharmacological measures Mechanistic model Bayesian analysis Resumen del trabajo presentado en la BIFI International Conference: The Science of Covid-19: From molecular drug design to data-driven epidemiological models, celebrada en Zaragoza (España), del 7 al 9 de junio de 2022 A new mechanistic model that describes the transmission dynamics of COVID-19 was applied to estimate the effect of the non-pharmacological measures by means of Bayesian analysis methods. The consistent results obtained for a total of 32 European countries, with data following very different patterns, confirmed that the model used is an appropriate method for describing the present and future evolution of the disease. 2023-03-21T12:30:31Z 2023-03-21T12:30:31Z 2022-06-07 2023-03-21T12:30:32Z comunicación de congreso BIFI International Conference: The Science of Covid-19: From molecular drug design to data-driven epidemiological models (2022) http://hdl.handle.net/10261/303747 Sí open
institution ICVV ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icvv-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICVV España
topic COVID-19 modelling
Non-pharmacological measures
Mechanistic model
Bayesian analysis
COVID-19 modelling
Non-pharmacological measures
Mechanistic model
Bayesian analysis
spellingShingle COVID-19 modelling
Non-pharmacological measures
Mechanistic model
Bayesian analysis
COVID-19 modelling
Non-pharmacological measures
Mechanistic model
Bayesian analysis
Blecua, Javier
Fernández-Recio, Juan
Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
description Resumen del trabajo presentado en la BIFI International Conference: The Science of Covid-19: From molecular drug design to data-driven epidemiological models, celebrada en Zaragoza (España), del 7 al 9 de junio de 2022
format comunicación de congreso
topic_facet COVID-19 modelling
Non-pharmacological measures
Mechanistic model
Bayesian analysis
author Blecua, Javier
Fernández-Recio, Juan
author_facet Blecua, Javier
Fernández-Recio, Juan
author_sort Blecua, Javier
title Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
title_short Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
title_full Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
title_fullStr Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
title_full_unstemmed Bayesian mechanistic model of COVID-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
title_sort bayesian mechanistic model of covid-19 transmission dynamics for the estimation of the impact of nonpharmacological measures
publishDate 2022-06-07
url http://hdl.handle.net/10261/303747
work_keys_str_mv AT blecuajavier bayesianmechanisticmodelofcovid19transmissiondynamicsfortheestimationoftheimpactofnonpharmacologicalmeasures
AT fernandezreciojuan bayesianmechanisticmodelofcovid19transmissiondynamicsfortheestimationoftheimpactofnonpharmacologicalmeasures
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