COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

@article{Sukumaran2020COVID19OP,
  title={COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms},
  author={Rohan Sukumaran and Parth Patwa and TV Sethuraman and Sheshank Shankar and Rishank Kanaparti and Joseph Bae and Y. K. Mathur and Abhishek Singh and Ayush Chopra and Myungsun Kang and Priya Ramaswamy and Ramesh Raskar},
  journal={ArXiv},
  year={2020},
  volume={abs/2101.10266}
}
It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic. Traditionally, community prevalence has been assessed through diagnostic and antibody testing data. However, despite the increasing availability of COVID-19 testing, the required level has not been met in parts of the globe, introducing a need for an alternative method for communities to determine disease prevalence… 

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