PropertyValue
?:abstract
  • Sample pooling of CoViD-19 PCR tests has been recently proposed as a low cost alternative to individual tests. We show that sample pooling is efficient as long as the fraction of the population infected is relatively small. Fisher information theory suggests a rule of thumb that for low infection rates p, pooling 2/p samples is close to optimal. We present a simple strategy for survey design when not even a ballpark estimate of the infection rate is available.
?:creator
?:doi
?:doi
  • 10.1101/2020.04.05.20054445
?:externalLink
?:license
  • medrxiv
?:pdf_json_files
  • document_parses/pdf_json/0c937df4094dd69cc90aeb5e69de2064094b71cf.json
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • MedRxiv; WHO
?:title
  • Efficient sample pooling strategies for COVID-19 data gathering
?:type
?:year
  • 2020-04-07

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