Login / Signup

Group testing performance evaluation for SARS-CoV-2 massive scale screening and testing.

Özkan Ufuk Nalbantoğlu
Published in: BMC medical research methodology (2020)
Our simulations show that sparse random pooling can provide improved efficiency gains compared to conventional group testing or Reed-Solomon error correcting codes. Therefore, we propose that special designs for different scenarios could be available and it is possible to scale up testing capabilities significantly.
Keyphrases
  • sars cov
  • climate change
  • neural network