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Data Analytics for Predicting COVID-19 Cases in Top Affected Countries: Observations and Recommendations
International Journal of Environmental Research and Public Health
The outbreak of the 2019 novel coronavirus disease (COVID-19) has adversely affected many countries in the world. The unexpected large number of COVID-19 cases has disrupted the healthcare system in many countries and resulted in a shortage of bed spaces in the hospitals. Consequently, predicting the number of COVID-19 cases is imperative for governments to take appropriate actions. The number of COVID-19 cases can be accurately predicted by considering historical data of reported casesdoi:10.3390/ijerph17197080 pmid:32992643 fatcat:avm5ehmugzbezbxy7kzydemcom