Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries
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Cita com:
hdl:2117/363146
Document typeResearch report
Defense date2021-10-04
Rights accessOpen Access
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is licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectEC-H2020-DGCONNECT
COMPUTATIONAL MODELLING OF BIOPHYSICAL PROCESSES AT MULTIPLE SCALES (AEI-PGC2018-095456-B-I00)
COMPUTATIONAL MODELLING OF BIOPHYSICAL PROCESSES AT MULTIPLE SCALES (AEI-PGC2018-095456-B-I00)
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 predictions for the next days. We also include a brief
analysis of the global situation, as well as the highlights for European countries. On Fridays, we prepare a full
analysis of a specific topic.
As for the predictions, we employ a validated empirical model based on the Gompertz growth. 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.
Methodological details are given in the Methods section, at the end of the report.
CitationCatalà, M. [et al.]. Analysis and prediction of COVID-19 for EU-EFTA-UK and other countries. 2021.
Other identifiershttps://biocomsc.upc.edu/en/covid-19/daily-report
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20211004_report_291.pdf | Document principal | 51,84Mb | View/Open |