<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Steffen Uhlig</dc:contributor>
  <dc:contributor>Laura B. Goodman</dc:contributor>
  <dc:contributor>Hon S. Ip</dc:contributor>
  <dc:contributor>Mary Lea Killiam</dc:contributor>
  <dc:contributor>Sarah Nemser</dc:contributor>
  <dc:contributor>Jodie Ulaszek</dc:contributor>
  <dc:contributor>Shannon Kiener</dc:contributor>
  <dc:contributor>Matthew Kmet</dc:contributor>
  <dc:contributor>Kirstin Frost</dc:contributor>
  <dc:contributor>Karina Hettwer</dc:contributor>
  <dc:contributor>Bertrand Colson</dc:contributor>
  <dc:contributor>Kapil Nichani</dc:contributor>
  <dc:contributor>Anja Schlierf</dc:contributor>
  <dc:contributor>Andriy Tkachenko</dc:contributor>
  <dc:contributor>Mothomang Mlalazi Oyinloye</dc:contributor>
  <dc:contributor>Scott Andrew</dc:contributor>
  <dc:contributor>Ravinder Reddy</dc:contributor>
  <dc:contributor>Gregory H. Tyson</dc:contributor>
  <dc:creator>Kaiping Deng</dc:creator>
  <dc:date>2022</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;The COVID-19 pandemic presents a continued public health challenge. Veterinary diagnostic laboratories in the United States use RT-rtPCR for animal testing, and many laboratories are certified for testing human samples; hence, ensuring that laboratories have sensitive and specific SARS-CoV2 testing methods is a critical component of the pandemic response. In 2020, the FDA Veterinary Laboratory Investigation and Response Network (Vet-LIRN) led an interlaboratory comparison (ILC1) to help laboratories evaluate their existing RT-rtPCR methods for detecting SARS-CoV2. All participating laboratories were able to detect the viral RNA spiked in buffer and PrimeStore molecular transport medium (MTM). With ILC2, Vet-LIRN extended ILC1 by evaluating analytical sensitivity and specificity of the methods used by participating laboratories to detect 3 SARS-CoV2 variants (B.1; B.1.1.7 [Alpha]; B.1.351 [Beta]) at various copy levels. We analyzed 57 sets of results from 45 laboratories qualitatively and quantitatively according to the principles of ISO 16140-2:2016. More than 95% of analysts detected the SARS-CoV2 RNA in MTM at ≥500 copies for all 3 variants. In addition, for nucleocapsid markers N1 and N2, 81% and 92% of the analysts detected ≤20 copies in the assays, respectively. The analytical specificity of the evaluated methods was &amp;gt;99%. Participating laboratories were able to assess their current method performance, identify possible limitations, and recognize method strengths as part of a continuous learning environment to support the critical need for the reliable diagnosis of COVID-19 in potentially infected animals and humans.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1177/10406387221115702</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Sage Publications</dc:publisher>
  <dc:title>Second round of an interlaboratory comparison of SARS-CoV2 molecular detection assays used by 45 veterinary diagnostic laboratories in the United States</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>