Article ; Online: Application of the ARIMA model on the COVID-2019 epidemic dataset
Data in Brief, Vol 29, Iss , Pp - (2020)
2020
Abstract: Coronavirus disease 2019 (COVID-2019) has been recognized as a global threat, and several studies are being conducted using various mathematical models to predict the probable evolution of this epidemic. These mathematical models based on various factors ...
Abstract | Coronavirus disease 2019 (COVID-2019) has been recognized as a global threat, and several studies are being conducted using various mathematical models to predict the probable evolution of this epidemic. These mathematical models based on various factors and analyses are subject to potential bias. Here, we propose a simple econometric model that could be useful to predict the spread of COVID-2019. We performed Auto Regressive Integrated Moving Average (ARIMA) model prediction on the Johns Hopkins epidemiological data to predict the epidemiological trend of the prevalence and incidence of COVID-2019. For further comparison or for future perspective, case definition and data collection have to be maintained in real time. Keywords: COVID-2019 epidemic, ARIMA model, Forecast, Infection control |
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Keywords | Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390 |
Language | English |
Publishing date | 2020-04-01T00:00:00Z |
Publisher | Elsevier |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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