Predicting COVID-19 Incidence Through Spatiotemporal Human Interactions
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/5533026
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资源简介：
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.
创建时间：
2021-09-28
