Individual characteristics of the respondent in East African countries (n = 44,837). حسب Samuel Hailegebreal (10297213)

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Ct values do not differ substantially by vaccine type. حسب Kasen K. Riemersma (5434607)

Change in per capita visits to breweries in each state from March to June in 2020. حسب Yingjie Hu (1579000)

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Predicted and observed wine sales for individual states. حسب Yingjie Hu (1579000)

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Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales. حسب Yingjie Hu (1579000)

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The architecture of the DNN model for estimating alcohol sales. حسب Yingjie Hu (1579000)

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Fig 7 - حسب Yingjie Hu (1579000)

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RMSE values of including and not including grocery store visits for alcohol sales prediction based on the RF model. حسب Yingjie Hu (1579000)

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Four categories of input features for the machine learning models. حسب Yingjie Hu (1579000)

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VIF values of the variables in three MLR models. حسب Yingjie Hu (1579000)

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Geographic differences for how the per capita visits to liquor stores changed in response to COVID-19. حسب Yingjie Hu (1579000)

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Change in per capita visits to drinking places in each state from March to June in 2020. حسب Yingjie Hu (1579000)

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Fig 15 - حسب Yingjie Hu (1579000)

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Fig 5 - حسب Yingjie Hu (1579000)

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Change in per capita visits to wineries in each state from March to June in 2020. حسب Yingjie Hu (1579000)

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Fig 2 - حسب Yingjie Hu (1579000)

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Geographic differences for how the per capita sales of spirits changed during the pandemic. حسب Yingjie Hu (1579000)

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Wine sales in each of the 13 states. حسب Yingjie Hu (1579000)

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Visitation behavior to the four types of alcohol outlets in the U.S. during the first months of COVID-19. حسب Yingjie Hu (1579000)

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Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... حسب Yingjie Hu (1579000)

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