{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:25:41Z","timestamp":1763810741122,"version":"3.37.3"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Noroviruses cause acute gastroenteritis with symptoms of diarrhoea and vomiting, and their high infectivity allows outbreaks to readily occur. Quickly identifying and isolating potential contaminants is an effective method to prevent the spread of outbreaks. A total of 376 samples collected from nine outbreaks were categorized as either patient, asymptomatic individual, cook or environmental samples, according to the source of contamination. Using real-time PCR and sequencing analysis, norovirus GII genotypes were detected in 34\u00b79% of samples from patients, 19\u00b72% from asymptomatic individuals, 2\u00b74% from the environment and 1\u00b74% from cooks. Our findings showed contrasting results in samples categories quantified based on the limit of blank and detection limit by reverse transcription droplet digital PCR, which is a more sensitive testing method than real-time-PCR.<\/jats:p>","DOI":"10.1111\/lam.13702","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T12:30:06Z","timestamp":1647779406000},"page":"29-35","source":"Crossref","is-referenced-by-count":4,"title":["Quantitative differential analysis of norovirus outbreak samples using RT-ddPCR"],"prefix":"10.1093","volume":"75","author":[{"given":"Miok","family":"Song","sequence":"first","affiliation":[{"name":"Seoul Metropolitan Government Research Institute of Public Health and Environment Gyeonggi-do Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4814-4850","authenticated-orcid":false,"given":"Youngok","family":"Hwang","sequence":"additional","affiliation":[{"name":"Seoul Metropolitan Government Research Institute of Public Health and Environment Gyeonggi-do Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jungeun","family":"Park","sequence":"additional","affiliation":[{"name":"Seoul Metropolitan Government Research Institute of Public Health and Environment Gyeonggi-do Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eukyong","family":"Cha","sequence":"additional","affiliation":[{"name":"Seoul Metropolitan Government Research Institute of Public Health and Environment Gyeonggi-do Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyoeon","family":"Jeong","sequence":"additional","affiliation":[{"name":"Seoul Metropolitan Government Research Institute of Public Health and Environment Gyeonggi-do Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minkyeong","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul 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