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

Benjamín Lucas, Behzad Vahedi, Morteza Karimzadeh

2022International Journal of Data Science and Analytics49 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceCoronavirus disease 2019 (COVID-19)Machine learningArtificial intelligenceEnsemble forecastingEnsemble learningEconometricsDiseaseInfectious disease (medical specialty)MathematicsPathologyMedicineCOVID-19 epidemiological studiesData-Driven Disease SurveillanceAnomaly Detection Techniques and Applications
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA | Litcius