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                  <mods:namePart>Català Sabaté, Martí</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Cardona Iglesias, Pere Joan</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Prats Soler, Clara</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Alonso Muñoz, Sergio</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Álvarez Lacalle, Enrique</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Marchena Angos, Miquel</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Conesa Ortega, David</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>López Codina, Daniel</mods:namePart>
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               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2020-11-25</mods:dateIssued>
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               <mods:abstract>The present report aims to provide a comprehensive picture of the pandemic situation of COVID-19 in the&#xd;
EU countries, and to be able to foresee the situation in the next coming days. We provide some figures and&#xd;
tables with several indexes and indicators as well as an Analysis section that discusses a specific topic related&#xd;
with the pandemic.&#xd;
As for the predictions, we employ an empirical model, verified with the evolution of the number of confirmed&#xd;
cases in previous countries where the epidemic is close to conclude, including all provinces of China. The&#xd;
model does not pretend to interpret the causes of the evolution of the cases but to permit the evaluation of&#xd;
the quality of control measures made in each state and a short-term prediction of trends. Note, however,&#xd;
that the effects of the measures’ control that start on a given day are not observed until approximately 7-14&#xd;
days later.&#xd;
We show an individual report with 8 graphs and a summary table with the main indicators for different&#xd;
countries and regions. We are adjusting the model to countries and regions with at least 4 days with more&#xd;
than 100 confirmed cases and a current load over 200 cases.These reports are funded by the European Commission (DG CONNECT, LC-01485746)&#xd;
PJC and MC received funding from “la Caixa” Foundation (ID 100010434), under agreement&#xd;
LCF/PR/GN17/50300003; CP, DL, SA, MC, received funding from Ministerio de Ciencia,&#xd;
Innovación y Universidades and FEDER, with the project PGC2018-095456-B-I00Postprint (published version)</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Àrees temàtiques de la UPC::Ciències de la salut</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Coronaviruses</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>COVID-19 (Disease)</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Diseases -- Mathematical models</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Pandemics -- Prevention and control</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>SARS (Disease)</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Covid-19</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Pandèmies -- Predicció</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>COVID-19 (Malaltia)</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Epidèmies -- Predicció</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Epidemiologia -- Model matemàtics</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Analysis and prediction of COVID-19 for EU-E F TA-UKand other countries</mods:title>
               </mods:titleInfo>
               <mods:genre>External research report</mods:genre>
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