An urban-level prediction of lockdown measures impact on the prevalence of the covid-19 pandemic

HIGHLIGHTS

• who: Saeid Pourroostaei Ardakani from the Department of Computer, China have published the research work: An urban-level prediction of lockdown measures impact on the prevalence of the COVID-19 pandemic, in the Journal: (JOURNAL) of March/17,/2020
• what: COVID-19 disease is still spreading fast worldwide, and every day, many new confirmed cases and/or death cases are reported.

SUMMARY

To train two machine_learning models to predict the impact of the lockdown measure on COVID-19 pandemic prevention and control based on five scheduling scenarios. To evaluate and compare . . .

 



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