Correlating dynamic climate conditions and socioeconomic-governmental factors to spatiotemporal spread of COVID-19 via semantic segmentation deep learning analysis
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DOI: 10.1016/j.scs.2021.103231
Abstract: In this study, we develop a deep learning model to forecast the transmission rate of COVID-19 globally, via a proposed G parameter, as a function of fused data features which encompass selected climate conditions, socioeconomic… read more here.
Keywords: climate conditions; climate; deep learning; socioeconomic governmental ... See more keywords