%0 Journal Article %1 journals/corr/abs-2109-12094 %A Lucas, Benjamin %A Vahedi, Behzad %A Karimzadeh, Morteza %D 2021 %J CoRR %K dblp %T A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States. %U http://dblp.uni-trier.de/db/journals/corr/corr2109.html#abs-2109-12094 %V abs/2109.12094

@article{journals/corr/abs-2109-12094, added-at = {2022-10-02T00:00:00.000+0200}, author = {Lucas, Benjamin and Vahedi, Behzad and Karimzadeh, Morteza}, biburl = {https://www.bibsonomy.org/bibtex/27df94a065ed36f283bfc00e7573fc3ff/dblp}, ee = {https://arxiv.org/abs/2109.12094}, interhash = {41dc0aa2f68364cf3ab8a8037038f2b3}, intrahash = {7df94a065ed36f283bfc00e7573fc3ff}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-09T00:07:17.000+0200}, title = {A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2109.html#abs-2109-12094}, volume = {abs/2109.12094}, year = 2021 }