Article

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold…

medRxiv: the preprint server for health sciences · 2023 · Afraz A. Khan, author Hind Sbihi, author Michael A. Irvine, author Agatha N. Jassem, author Yayuk Joffres, author Braeden Klaver, author Naveed Janjua, author Aamir Bharmal, author Carmen H. Ng, author Amanda Wilmer, author John Galbraith, author Marc G. Romney, author Bonnie Henry, author Linda M. N. Hoang, author Mel Krajden, author Catherine A. Hogan, author

Key facts

Title Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: A Machine Learning and mechanistic modeling study
First author Afraz A. Khan, author Hind Sbihi, author Michael A. Irvine, author Agatha N. Jassem, author Yayuk Joffres, author Braeden Klaver, author Naveed Janjua, author Aamir Bharmal, author Carmen H. Ng, author Amanda Wilmer, author John Galbraith, author Marc G. Romney, author Bonnie Henry, author Linda M. N. Hoang, author Mel Krajden, author Catherine A. Hogan, author
Journal medRxiv : the preprint server for health sciences
Published Mar 9, 2023
DOI 10.1101/2023.03.06.23286837
Devices mentioned BP090080, K000534, K000945, K003865, K020469, K021512, K023296, K024098, K031824, K031879, K033009, K033185 and 52 more
Product codes mentioned CDD, CDQ, CDS, CDT, CDZ, CEK, CEM, CEO, CEW, CFJ, CFP, CFR and 110 more

At a glance

  • 10–99 FDA submissions mentioned
  • 100–999 Product codes mentioned

Counts are shown as ranges. Exact figures, trends and every underlying record are available in Orca1.

About Literature

Peer-reviewed and preprint literature indexed by Orca1 and linked to the FDA submissions and product codes each article mentions. Only bibliographic details are shown here.

Source: Publisher and PubMed metadata; device mentions identified by Orca1

Browse all Literature