Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries
| 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.group | Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos |
| 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 | 2021-08-03T11:07:49Z |
| dc.date.available | 2021-08-03T11:07:49Z |
| dc.date.issued | 2021-08-02 |
| 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. In this summer short version, we provide some figures and tables with several indexes and indicators as well as predictions for the next days. 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. Only reliable predictions that accomplish with the quality criteria are included. |
| 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.description.version | Postprint (published version) |
| dc.format.extent | 207 p. |
| dc.identifier.citation | Català, M. [et al.]. Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries. 2021. |
| dc.identifier.uri | https://hdl.handle.net/2117/350391 |
| dc.language.iso | eng |
| dc.relation.ispartof | Daily report; 264 |
| 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 |
| dc.relation.publisherversion | https://biocomsc.upc.edu/en/covid-19/daily-report |
| dc.rights.access | Open Access |
| dc.rights.licensename | 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.lemac | COVID-19 (Malaltia) |
| dc.subject.lemac | Epidèmies -- Predicció |
| dc.subject.lemac | Epidemiologia -- Model matemàtics |
| 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 |
| dspace.entity.type | Publication |
| local.citation.author | Català, M.; Cardona, P.J.; Prats, C.; Alonso, S.; Alvarez-Lacalle, E.; Marchena, M.; Conesa, D.; Echebarria, B.; Lopez, D. |
| local.identifier.drac | 31972744 |
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