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  • [\'Health Informatics Program, Yale School of Public Health, 60 College St, New Haven, CT, 06510, USA.\', \'Computational Biology and Bioinformatics Program, Yale University, 300 George Street, Suite 501, New Haven, CT, 06511, USA.\', \'SEICHE Center for Health and Justice, Yale School of Medicine, 333 Cedar St, New Haven, CT, 06510, USA; Pain Research, Informatics, Multimorbidities and Education Center, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.\', \'Health Informatics Program, Yale School of Public Health, 60 College St, New Haven, CT, 06510, USA; Computational Biology and Bioinformatics Program, Yale University, 300 George Street, Suite 501, New Haven, CT, 06511, USA; Department of Emergency Medicine, Yale School of Medicine, 333 Cedar St, New Haven, CT, 06510, USA. Electronic address: samah.fodeh@yale.edu.\']
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  • S0010-4825(21)00130-X10.1016/j.compbiomed.2021.104336
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  • Computers in biology and medicine
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  • Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities.
?:type
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  • 2021

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