{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T04:36:39Z","timestamp":1790483799935,"version":"4.1.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP2002317"],"award-info":[{"award-number":["APP2002317"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jack Ma Foundation"},{"name":"A2 Milk Company"},{"DOI":"10.13039\/501100003921","name":"Australian Government Department of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1174555"],"award-info":[{"award-number":["APP1174555"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1177174"],"award-info":[{"award-number":["APP1177174"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1105905"],"award-info":[{"award-number":["APP1105905"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["GNT1191321"],"award-info":[{"award-number":["GNT1191321"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Robust serological assays are essential for long-term control of the COVID-19 pandemic. Many recently released point-of-care (PoCT) serological assays have been distributed with little premarket validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Performance characteristics for 5 PoCT lateral flow devices approved for use in Australia were compared to a commercial enzyme immunoassay (ELISA) and a recently described novel surrogate virus neutralization test (sVNT).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Sensitivities for PoCT ranged from 51.8% (95% confidence interval [CI], 43.1%\u201360.4%) to 67.9% (95% CI, 59.4%\u201375.6%), and specificities from 95.6% (95% CI, 89.2%\u201398.8%) to 100.0% (95% CI, 96.1%\u2013100.0%). ELISA sensitivity for IgA or IgG detection was 67.9% (95% CI, 59.4%\u201375.6%), increasing to 93.8% (95% CI, 85.0%\u201398.3%) for samples &amp;gt;14 days post symptom onset. sVNT sensitivity was 60.9% (95% CI, 53.2%\u201368.4%), rising to 91.2% (95% CI, 81.8%\u201396.7%) for samples &amp;gt;14 days post symptom onset, with specificity 94.4% (95% CI, 89.2%\u201397.5%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Performance characteristics for COVID-19 serological assays were generally lower than those reported by manufacturers. Timing of specimen collection relative to onset of illness or infection is crucial in reporting of performance characteristics for COVID-19 serological assays. The optimal algorithm for implementing serological testing for COVID-19 remains to be determined, particularly in low-prevalence settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/infdis\/jiaa467","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T15:13:27Z","timestamp":1596554007000},"page":"1280-1288","source":"Crossref","is-referenced-by-count":56,"title":["Evaluation of Serological Tests for SARS-CoV-2: Implications for Serology Testing in a Low-Prevalence Setting"],"prefix":"10.1093","volume":"222","author":[{"given":"Katherine","family":"Bond","sequence":"first","affiliation":[{"name":"Department of Microbiology, Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia"},{"name":"Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, 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