Work

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Year: 2022

Type: article

Source: International Journal of Data Science and Analytics

DOI: 10.1007/s41060-021-00295-9

Authors: Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh

Institution: University of Colorado Boulder

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Award: University of Colorado Population Center

OpenAlex ID: W4205522965

FWCI: 6.049

Cites: 109

Cited by: 58

Related to: 10