Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries
| Autor: | Català Sabaté, Martí, Cardona Iglesias, Pere Joan, Prats Soler, Clara, Alonso Muñoz, Sergio, Álvarez Lacalle, Enrique, Marchena Angos, Miquel, Conesa Ortega, David, Echebarría Domínguez, Blas, López Codina, Daniel |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada, Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos |
| Rok vydání: | 2021 |
| Předmět: |
Pandèmies -- Predicció
Coronaviruses Epidemiologia -- Model matemàtics Epidemiologia -- Models matemàtics SARS (Disease) Covid-!9 COVID-19 (Malaltia) Epidèmies -- Predicció COVID-19 (Disease) Pandemics -- Prevention and control Pandèmies -- Prevenció Diseases -- Mathematical models Covid-19 Ciències de la salut [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | 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 Analysis section 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. 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 |
| Databáze: | OpenAIRE |
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