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_2
Snippet: Modeling and future forecast of daily number of confirmed cases can help the treatment system in providing services for the new patients . The statistical prediction models could be helpful in forecasting and controlling this global epidemic threat. Here in this study, Auto Regressive Integrated Moving Average (ARIMA) model could be useful to predict the confirmed cases of COVID-2019. This model has more ability compared to some prediction models.....
Document: Modeling and future forecast of daily number of confirmed cases can help the treatment system in providing services for the new patients . The statistical prediction models could be helpful in forecasting and controlling this global epidemic threat. Here in this study, Auto Regressive Integrated Moving Average (ARIMA) model could be useful to predict the confirmed cases of COVID-2019. This model has more ability compared to some prediction models such as wavelet neural network (WNN) and the support vector machine (SVM) in prediction of natural disasters (6) . The global geographic regions in this study are according to World Health Organization (WHO) classification of regions. The data of countries with high number of confirmed cases analyzed in this study was based on WHO regions. For each country, . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
Search related documents:
Co phrase search for related documents- ARIMA model and daily number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- ARIMA model and future forecast: 1, 2, 3, 4, 5, 6, 7, 8
- ARIMA model and geographic region: 1
- ARIMA model and high number: 1, 2, 3, 4
- ARIMA model and International license: 1, 2, 3
- ARIMA model and neural network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- ARIMA model and prediction model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- cc NC ND International license and daily number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- cc NC ND International license and high number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- cc NC ND International license and International license: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- cc NC ND International license and neural network: 1, 2, 3, 4, 5, 6
- cc NC ND International license and prediction model: 1, 2, 3, 4, 5, 6, 7, 8
- confirm case and daily number: 1
- confirm case and neural network: 1, 2
- daily number and future forecast: 1, 2, 3, 4, 5, 6, 7
- daily number and geographic region: 1
- daily number and high number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- daily number and International license: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- daily number and neural network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
Co phrase search for related documents, hyperlinks ordered by date