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  • [\'Department of Statistics, Computer Science, Applications, University of Florence, Florence, Italy.\', \'Florence Center for Data Science, University of Florence, Florence, Italy.\', \'Regional Laboratory of Cancer Prevention, Institute for Prevention, Research and Oncological Network (ISPRO), Florence, Italy.\']
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  • 10.1371/journal.pone.0251589
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  • 34003878
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?:title
  • Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples.
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  • 2021

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