Predicting COVID-19 Incidence Through Spatiotemporal Human Interactions
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This repository contains data (features) necessary to run STXGB model. 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.
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Zenodo创建时间：
2021-09-28
