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Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey

Arni S R Srinivasa Rao1,2,3, Jose A Vazquez4

  • 1Division of Health Economics and Modeling, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia.

Infection Control and Hospital Epidemiology
|March 4, 2020
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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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