Impacts of Daily Travel by Distances on the Spread of COVID-19: An Artificial Neural Network Model.

ABSTRACT: The continued spread of COVID-19 poses significant threats to the safety of the community. Since it is still uncertain when the pandemic will end, it is vital to understand the factors contributing to new cases of COVID-19, especially from the transportation perspective. This paper examines the effect of the United States residents' daily trips by distances on the spread of COVID-19 in the community. The artificial neural network method is used to construct and test the predictive model using data collected from two sources: Bureau of Transportation Statistics and the COVID-19 Tracking Project. The dataset uses ten daily travel variables by distances and new tests from March to September 2020, with a sample size of 10,914. The results indicate the importance of daily trips at different dis

SUBMITTER: Truong D 

PROVIDER: S-EPMC10149352 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature