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Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2021-07-09 , DOI: 10.1109/ojemb.2021.3096135 MichaelC Lucic 1 , Hakim Ghazzai 1 , Carlo Lipizzi 1 , Yehia Massoud 2
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2021-07-09 , DOI: 10.1109/ojemb.2021.3096135 MichaelC Lucic 1 , Hakim Ghazzai 1 , Carlo Lipizzi 1 , Yehia Massoud 2
Affiliation
Analysis presented in this manuscript highlights differences in COVID-19 risk in the United States based on socioeconomic factors. The further application of this work can be utilized as the basis for a national-level decision support system to help direct responses that address the pandemic.
中文翻译：
整合县级社会经济数据以预测美国的 COVID-19
本手稿中的分析强调了美国基于社会经济因素的 COVID-19 风险差异。这项工作的进一步应用可以作为国家级决策支持系统的基础，以帮助直接应对这一流行病。
更新日期：2021-07-09
中文翻译：
整合县级社会经济数据以预测美国的 COVID-19
本手稿中的分析强调了美国基于社会经济因素的 COVID-19 风险差异。这项工作的进一步应用可以作为国家级决策支持系统的基础，以帮助直接应对这一流行病。
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