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 | Echebarría Domínguez, Blas |
dc.contributor.author | López Codina, Daniel |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.date.accessioned | 2021-06-28T05:54:42Z |
dc.date.available | 2021-06-28T05:54:42Z |
dc.date.issued | 2021-06-14 |
dc.identifier.citation | Català, M. [et al.]. Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries. 2021. |
dc.identifier.uri | http://hdl.handle.net/2117/347919 |
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 7 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.sponsorship | 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.format.extent | 68 p. |
dc.language.iso | eng |
dc.relation.ispartof | Daily report; 243 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject.lcsh | Coronaviruses |
dc.subject.lcsh | COVID-19 (Disease) |
dc.subject.lcsh | Diseases -- Mathematical models |
dc.subject.lcsh | Pandemics -- Prevention and control |
dc.subject.lcsh | SARS (Disease) |
dc.subject.other | Covid-19 |
dc.subject.other | Pandèmies -- Predicció |
dc.title | Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries |
dc.type | External research report |
dc.subject.lemac | COVID-19 (Malaltia) |
dc.subject.lemac | Epidèmies -- Predicció |
dc.subject.lemac | Epidemiologia -- Model matemàtics |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos |
dc.relation.publisherversion | https://biocomsc.upc.edu/en/covid-19/daily-report |
dc.rights.access | Open Access |
local.identifier.drac | 31862183 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/DGCONNECT/LC-01485746 |
dc.relation.projectid | 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.projectid | info:eu-repo/grantAgreement/SPAIN/LCF/PR/GN17/50300003 |
local.citation.author | Català, M.; Cardona, P.J.; Prats, C.; Alonso, S.; Alvarez-Lacalle, E.; Marchena, M.; Conesa, D.; Echebarria, B.; Lopez, D. |