Vahedi, Behzad
Karimzadeh, Morteza
Zoraghein, Hamidreza
2021-10-01
<p>This repository contains data (features) necessary to run STXGB model and accompanies the paper titled "Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions".</p>
<p> </p>
<p>STXGB is a spatiotemporal autoregressive model that predicts county-level new cases of COVID-19 in the coterminous US in 1- to 4-week prediction horizons using spatiotemporal lags of infection rates, human interactions, human mobility, and socioeconomic composition of counties as predictive features.</p>
https://doi.org/10.5281/zenodo.5542643
oai:zenodo.org:5542643
Zenodo
https://doi.org/10.5281/zenodo.5542642
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
COVID-19
spatiotemporal machine learning
GeoAI
Nature Communications
Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions (dataset)
info:eu-repo/semantics/other