Forecasting of COVID-19 in India Using ARIMA Model
| Autor: | Deepak Reddy, Pooja Acharya, Narayana Darapaneni, Anwesh Reddy Paduri, H S Nithin |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Finance Government 2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) Computer science business.industry Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Outbreak medicine.disease_cause Investment (macroeconomics) 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Order (exchange) Pandemic medicine 030212 general & internal medicine Autoregressive integrated moving average business Coronavirus |
| Zdroj: | 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) UEMCON |
| DOI: | 10.1109/uemcon51285.2020.9298045 |
| Popis: | The recent outbreak of COVID-19 in different states of India has major concerns for all administrative departments of the government and general public. The Pandemic has been tested positive in 1287945 individuals with 817209 recovered and 30601 succumbed to the disease. The first case of the novel coronavirus was detected in India on 30 January 2020. There was a lockdown imposed by the Government of India from 24 March 2020 and ended on 31 May 2020. A forecast in no lockdown scenario would help us to track the further progress of the disease and make sufficient data available in order to plan the future of hospital facilities, pharmaceutical investment etc. |
| Databáze: | OpenAIRE |
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