dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada
dc.contributor
Universitat Politècnica de Catalunya. Departament de Física
dc.contributor
Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos
dc.contributor.author
Català Sabaté, Martí
dc.contributor.author
Cardona Iglesias, Pere Joan
dc.contributor.author
Prats Soler, Clara
dc.contributor.author
Alonso Muñoz, Sergio
dc.contributor.author
Álvarez Lacalle, Enrique
dc.contributor.author
Marchena Angos, Miquel
dc.contributor.author
Conesa Ortega, David
dc.contributor.author
López Codina, Daniel
dc.date.issued
2020-10-21
dc.identifier
Català, M. [et al.]. Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries. 2020.
dc.identifier
https://hdl.handle.net/2117/330893
dc.description.abstract
The present report aims to provide a comprehensive picture of the pandemic situation of COVID-19 in the
EU countries, and to be able to foresee the situation in the next coming days. We provide some figures and
tables with several indexes and indicators as well as an Analysissection that discusses a specific topic related
with the pandemic.
As for the predictions, we employ an empirical model, verified with the evolution of the number of confirmed
cases in previous countries where the epidemic is close to conclude, including all provinces of China. The
model does not pretend to interpret the causes of the evolution of the cases but to permit the evaluation of
the quality of control measures made in each state and a short-term prediction of trends. Note, however,
that the effects of the measures’ control that start on a given day are not observed until approximately 7-14
days later.
We show an individual report with 8 graphs and a summary table with the main indicators for different
countries and regions. We are adjusting the model to countries and regions with at least 4 days with more
than 100 confirmed cases and a current load over 200 cases.
dc.description.abstract
These reports are funded by the European Commission (DG CONNECT, LC-01485746)
PJC and MC received funding from “la Caixa” Foundation (ID 100010434), under agreement
LCF/PR/GN17/50300003; CP, DL, SA, MC, received funding from Ministerio de Ciencia,
Innovación y Universidades and FEDER, with the project PGC2018-095456-B-I00
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.format
application/pdf
dc.relation
Daily report; 144
dc.relation
https://biocomsc.upc.edu/en/covid-19/daily-report
dc.relation
info:eu-repo/grantAgreement/EC/H2020/DGCONNECT/LC-01485746
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095456-B-I00/ES/COMPUTATIONAL MODELLING OF BIOPHYSICAL PROCESSES AT MULTIPLE SCALES/
dc.relation
info:eu-repo/grantAgreement/SPAIN/LCF/PR/GN17/50300003
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.subject
Àrees temàtiques de la UPC::Ciències de la salut
dc.subject
COVID-19 (Disease)
dc.subject
Diseases -- Mathematical models
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Pandemics -- Prevention and control
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SARS (Disease)
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Pandèmies -- Predicció
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COVID-19 (Malaltia)
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Epidèmies -- Predicció
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Epidemiologia -- Model matemàtics
dc.title
Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries
dc.type
External research report