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dc.contributor.authorDíaz Pérez, F. J.-
dc.contributor.authorChinarro Vadillo, David-
dc.contributor.authorPino Otín, Rosa-
dc.contributor.authorDíaz Martín, Ricardo-
dc.contributor.authorDiaz, Moises-
dc.contributor.authorGuardiola Mouhaffel, Ali Adib-
dc.date.accessioned2021-03-01T12:20:42Z-
dc.date.available2021-03-01T12:20:42Z-
dc.date.issued2020-07-
dc.identifier.citationDiaz Perez FJ, Chinarro D, Otin RP, Martín RD, Diaz M, Mouhaffel AG. Comparison of Growth Patterns of COVID-19 Cases through the ARIMA and Gompertz Models. Case Studies: Austria, Switzerland, and Israel. Rambam Maimonides Med J 2020;11 (3):e0022. doi:10.5041/RMMJ.10413es_ES
dc.identifier.issn2076-9172es_ES
dc.identifier.urihttps://repositorio.usj.es/handle/123456789/505-
dc.description.abstractOn May 19, 2020, data confirmed that coronavirus 2019 disease (COVID-19) had spread worldwide, with more than 4.7 million infected people and more than 316,000 deaths. In this article, we carry out a compari-son of the methods to calculate and forecast the growth of the pandemic using two statistical models: the autoregressive integrated moving average (ARIMA) and the Gompertz function growth model. The countries that have been chosen to verify the usefulness of these models are Austria, Switzerland, and Israel, which have a similar number of habitants. The investigation to check the accuracy of the models was carried out using data on confirmed, non-asymptomatic cases and confirmed deaths from the period February 21–May 19, 2020. We use the root mean squared error (RMSE), the mean absolute percentage error (MAPE), and the regression coefficient index R2to check the accuracy of the models. The experimental results provide promising adjustment errors for both models (R2>0.99), with the ARIMA model being the best for infections and the Gompertz best for mortality. It has also been verified that countries are affected differently, which may be due to external factors that are difficult to measure quantitatively. These models provide a fast and effective system to check the growth of pandemics that can be useful for health systems and politicians so that appropriate measures are taken and countries’ health care systems do not collapse.es_ES
dc.format.extent13 p.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherRAMBAM HEALTH CARE CAMPUSes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectARIMAes_ES
dc.subjectCoronaviruses_ES
dc.subjectCOVID-19es_ES
dc.subjectGompertzes_ES
dc.subjectGrowth modeles_ES
dc.titleComparison of Growth Patterns of COVID-19 Cases through the ARIMA and Gompertz Models. Case Studies: Austria, Switzerland, and Israeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.5041/RMMJ.10413es_ES
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses_ES
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