2020
DOI: 10.1101/2020.05.10.20097295
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COVID-19: Easing the coronavirus lockdowns with caution

Abstract: count: 244 Total Text count: 1955 *The last two authors have equal contributions and first authorship.Abstract Background: The spread of the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2) has reached a global level, creating a pandemic. The government of various countries, their citizens, politicians, and business owners are worried about the unavoidable economic impacts of this pandemic. Therefore, there is an eagerness for the pandemic peaking. Objectives: This study uses an objective appro… Show more

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Cited by 6 publications
(2 citation statements)
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“…The reason for this may the intervention by the government regarding lockdown and the eventual continuation on the path of steady increase could be due to the relaxation of the lockdown by the government. [8,9] Time series forecasting is the use of historical data or observations of same variable to develop a model describing underlying relationship. The model is then used to extrapolate, forecast or predict future values.…”
Section: Discussionmentioning
confidence: 99%
“…The reason for this may the intervention by the government regarding lockdown and the eventual continuation on the path of steady increase could be due to the relaxation of the lockdown by the government. [8,9] Time series forecasting is the use of historical data or observations of same variable to develop a model describing underlying relationship. The model is then used to extrapolate, forecast or predict future values.…”
Section: Discussionmentioning
confidence: 99%
“…They analyzed the impact of the twomonth lockdown in Italy and observed a decrease in the number of cases recovered due to the lockdown and a reduction in confirmed cases. Alibi et al [5] have used the Fbprophet model to predict the spread of COVID-19, where they represented the number of confirmed and predicted deaths, and their model was accurate near 79.6%. Ribeiro et al [6] studied predictive assessments of models using COVID-19 daylevel cases from ten states in Brazil.…”
Section: Literature Reviewmentioning
confidence: 99%