{"id":3354,"date":"2021-06-03T12:43:37","date_gmt":"2021-06-03T10:43:37","guid":{"rendered":"https:\/\/datascience.unifi.it\/?p=3354"},"modified":"2025-11-27T17:13:02","modified_gmt":"2025-11-27T16:13:02","slug":"new-publication-covid-19-swabs-validation-of-pool-testing-method","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/index.php\/2021\/06\/03\/new-publication-covid-19-swabs-validation-of-pool-testing-method\/","title":{"rendered":"New publication! Covid-19 swabs: validation of pool testing method"},"content":{"rendered":"<p>We are happy to announce a new publication on &#8220;Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples&#8221;. The research was carried out by the Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d and ISPRO. The research was recently published on PLOS ONE.<\/p>\n<p><a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0251589\" target=\"_blank\" rel=\"noopener\">Baccini M, Rocco E, Paganini I, Mattei A, Sani C, Vannucci G, et al. (2021) Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples, PLoS ONE 16(5)<\/a><\/p>\n<p>If you are interested and want to read more about it, see the link:\u00a0<a href=\"https:\/\/www.unifimagazine.it\/tamponi-covid-validato-metodo-del-pool-testing\/\">https:\/\/www.unifimagazine.it\/tamponi-covid-validato-metodo-del-pool-testing\/<\/a><\/p>\n<p>If you want to read more in-depth about the study, you can find it at the following link:\u00a0<a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0251589\">https:\/\/doi.org\/10.1371\/journal.pone.0251589<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are happy to announce a new publication on &#8220;Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples&#8221;. &#8230;<\/p>\n","protected":false},"author":1,"featured_media":2560,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[41,19,20],"tags":[],"class_list":["post-3354","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-covid","category-education","category-projects"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3354","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=3354"}],"version-history":[{"count":1,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3354\/revisions"}],"predecessor-version":[{"id":3355,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3354\/revisions\/3355"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media\/2560"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=3354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/categories?post=3354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tags?post=3354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}