Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33915
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dc.contributor.authorNg, Sheryl Hui-Xian-
dc.contributor.authorKaur, Palvinder-
dc.contributor.authorKREMER, Cécile-
dc.contributor.authorTan, Woan Shin-
dc.contributor.authorTan, Aidan Lyanzhiang-
dc.contributor.authorHENS, Niel-
dc.contributor.authorToh, Matthias Paul-
dc.contributor.authorTeow, Kiok Liang-
dc.contributor.authorKannapiran, Palvannan-
dc.date.accessioned2021-04-14T13:26:37Z-
dc.date.available2021-04-14T13:26:37Z-
dc.date.issued2021-
dc.date.submitted2021-04-12T09:19:28Z-
dc.identifier.citationEMERGING INFECTIOUS DISEASES, 27 (2) , p. 582 -585-
dc.identifier.issn1080-6040-
dc.identifier.urihttp://hdl.handle.net/1942/33915-
dc.description.abstractWe estimated the generation interval distribution for coronavirus disease on the basis of serial intervals of observed infector–infectee pairs from established clusters in Singapore. The short mean generation interval and consequent high prevalence of presymptomatic transmission requires public health control measures to be responsive to these characteristics of the epidemic.-
dc.description.sponsorshipWe thank the Singapore Ministry of Health for their tireless efforts in outbreak control and publication of the data for this manuscript. N.H. acknowledges funding provided by the EpiPose project from the European Union’s SC1-PHE-CORONAVIRUS-2020 programme (project no. 101003688) and by the European’s Horizon 2020 research and innovation programme (grant agreement no. 682540–TransMID).-
dc.language.isoen-
dc.publisher-
dc.subject.otherCOVID-19-
dc.subject.otherSARS-CoV-2-
dc.subject.otherSingapore-
dc.subject.othercoronavirus disease-
dc.subject.otherrespiratory infections-
dc.subject.othersevere acute respiratory syndrome coronavirus 2-
dc.subject.otherviruses-
dc.subject.otherzoonoses-
dc.subject.otherCluster Analysis-
dc.subject.otherCross-Sectional Studies-
dc.subject.otherDisease Transmission, Infectious-
dc.subject.otherHumans-
dc.subject.otherInfectious Disease Incubation Period-
dc.subject.otherSymptom Assessment-
dc.subject.otherModels, Statistical-
dc.subject.otherTime Factors-
dc.titleEstimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020-
dc.typeJournal Contribution-
dc.identifier.epage585-
dc.identifier.issue2-
dc.identifier.spage582-
dc.identifier.volume27-
local.format.pages4-
local.bibliographicCitation.jcatA1-
local.publisher.place1600 CLIFTON RD, ATLANTA, GA 30333 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.type.programmeH2020-
local.relation.h2020682540-
dc.identifier.doi10.3201/eid2702.203018-
dc.identifier.pmid33496243-
dc.identifier.isiWOS:000631538500031-
dc.identifier.eissn1080-6059-
local.provider.typeCrossRef-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.fullcitationNg, Sheryl Hui-Xian; Kaur, Palvinder; KREMER, Cécile; Tan, Woan Shin; Tan, Aidan Lyanzhiang; HENS, Niel; Toh, Matthias Paul; Teow, Kiok Liang & Kannapiran, Palvannan (2021) Estimating Transmission Parameters for COVID-19 Clusters by Using Symptom Onset Data, Singapore, January–April 2020. In: EMERGING INFECTIOUS DISEASES, 27 (2) , p. 582 -585.-
item.accessRightsOpen Access-
item.contributorNg, Sheryl Hui-Xian-
item.contributorKaur, Palvinder-
item.contributorKREMER, Cécile-
item.contributorTan, Woan Shin-
item.contributorTan, Aidan Lyanzhiang-
item.contributorHENS, Niel-
item.contributorToh, Matthias Paul-
item.contributorTeow, Kiok Liang-
item.contributorKannapiran, Palvannan-
item.validationecoom 2022-
crisitem.journal.issn1080-6040-
crisitem.journal.eissn1080-6059-
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