Author: Tania Dehesh; H.A. Mardani-Fard; Paria Dehesh
Title: Forecasting of COVID-19 Confirmed Cases in Different Countries with ARIMA Models Document date: 2020_3_18
ID: a0pf12jo_3
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 13.20035345 doi: medRxiv preprint the best ARIMA model is identified, and then 17 future days is predicted. The daily confirmed cases data of COVID-2019 from January 22 th , 2020 to March 1 th , 2020 were collected from the official website of Johns Hopkins University and were used to build these models. The aim of this study is first to.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 13.20035345 doi: medRxiv preprint the best ARIMA model is identified, and then 17 future days is predicted. The daily confirmed cases data of COVID-2019 from January 22 th , 2020 to March 1 th , 2020 were collected from the official website of Johns Hopkins University and were used to build these models. The aim of this study is first to find the best predicting models for confirmed cases in countries with high number of confirmed cases in the world and second to predict confirmed cases with these models. These models can help in predicting patients in near future to have better treatment staff preparedness in these countries.
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