Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
Lemey P, Hong S, Hill V, Baele G, Poletto C, Colizza V, O’Toole Á, McCrone J, Andersen K, Worobey M, Nelson M, Rambaut A, Suchard M. Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nature Communications 2020, 11: 5110. PMID: 33037213, PMCID: PMC7547076, DOI: 10.1038/s41467-020-18877-9.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremBetacoronavirusCoronavirus InfectionsCOVID-19Genome, ViralHumansPandemicsPhylogenyPhylogeographyPneumonia, ViralSARS-CoV-2TravelConceptsBayesian phylogeographic inferencePhylogeographic inferenceSARS-CoV-2 genomeIndividual travel history dataImpact of sampling biasTravel history dataGenomic samplesPhylogeographic analysisSARS-CoV-2Sampling effortPosterior predictive accuracyUndersampled locationsGenomeVirus migrationSpatiotemporal biasesSpread of SARS-CoV-2Sampling biasTransmission hypothesisSampling locationsIndividual's travel historyLineagesVirus spreadDiversityEarly Release - Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 - Volume 26, Number 11—November 2020 - Emerging Infectious Diseases journal - CDC
Biggerstaff M, Cowling B, Cucunubá Z, Dinh L, Ferguson N, Gao H, Hill V, Imai N, Johansson M, Kada S, Morgan O, Pastore y Piontti A, Polonsky J, Prasad P, Quandelacy T, Rambaut A, Tappero J, Vandemaele K, Vespignani A, Warmbrod K, Wong J, Group F. Early Release - Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 - Volume 26, Number 11—November 2020 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2020, 26: e201074. PMID: 32917290, PMCID: PMC7588530, DOI: 10.3201/eid2611.201074.Peer-Reviewed Original ResearchThe emergence of SARS-CoV-2 in Europe and North America
Worobey M, Pekar J, Larsen BB, Nelson MI, Hill V, Joy JB, Rambaut A, Suchard MA, Wertheim JO, Lemey P. The emergence of SARS-CoV-2 in Europe and North America. Science 2020, 370: 564-570. PMID: 32912998, PMCID: PMC7810038, DOI: 10.1126/science.abc8169.Peer-Reviewed Original ResearchA dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology
Rambaut A, Holmes E, O’Toole Á, Hill V, McCrone J, Ruis C, du Plessis L, Pybus O. A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nature Microbiology 2020, 5: 1403-1407. PMID: 32669681, PMCID: PMC7610519, DOI: 10.1038/s41564-020-0770-5.Peer-Reviewed Original ResearchMeSH KeywordsBetacoronavirusCoronavirus InfectionsCOVID-19Genome, ViralGenotypeHumansMolecular EpidemiologyPandemicsPhylogenyPneumonia, ViralSARS-CoV-2ConceptsDiversity of SARS-CoV-2Virus lineagesVirus genome sequencesSARS-CoV-2 lineagesPhylogenetic frameworkGenome sequencePhylogenetic diversityGlobal spread of SARS-CoV-2Nomenclatural proposalsGenomic epidemiologyVirus nomenclatureSARS-CoV-2LineagesLineage labelingHuman coronavirusesGlobal spreadNomenclatureSequenceSpread of SARS-CoV-2VirusGenomic Epidemiology of SARS-CoV-2 in Guangdong Province, China
Lu J, du Plessis L, Liu Z, Hill V, Kang M, Lin H, Sun J, François S, Kraemer M, Faria N, McCrone J, Peng J, Xiong Q, Yuan R, Zeng L, Zhou P, Liang C, Yi L, Liu J, Xiao J, Hu J, Liu T, Ma W, Li W, Su J, Zheng H, Peng B, Fang S, Su W, Li K, Sun R, Bai R, Tang X, Liang M, Quick J, Song T, Rambaut A, Loman N, Raghwani J, Pybus O, Ke C. Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China. Cell 2020, 181: 997-1003.e9. PMID: 32359424, PMCID: PMC7192124, DOI: 10.1016/j.cell.2020.04.023.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremBetacoronavirusChinaCoronavirus InfectionsCOVID-19Epidemiological MonitoringHumansLikelihood FunctionsPandemicsPneumonia, ViralSARS-CoV-2TravelConceptsGenetic diversity of SARS-CoV-2Combination of metagenomic sequencingDiversity of SARS-CoV-2Genomic epidemiology of SARS-CoV-2Genetic diversityAmplicon approachPhylogenetic analysisMetagenomic sequencingPhylogenetic clusteringChina’s most populous province,Genetic variationEpidemiology of SARS-CoV-2Genomic epidemiologyIndependent introductionsSARS-CoV-2Molecular epidemiologyMolecular surveillanceGenomeLocal transmission chainsTransmission chainCentral ChinaSequenceSARS-CoV-2 infectionGuangdong Province