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Phylogenetic, transmission network, and likelihood\u2010mapping analyses of the genome sequences were performed. On the basis of the likelihood\u2010mapping analysis, the increasing tree\u2010like signals (from 0% to 8.2%, 18.2%, and 25.4%) over time may be indicative of increasing genetic diversity of 2019\u2010nCoV in human hosts. We identified three phylogenetic clusters using the Bayesian inference framework and three transmission clusters using transmission network analysis, with only one cluster identified by both methods using the above genome sequences of 2019\u2010nCoV strains. The estimated mean evolutionary rate for 2019\u2010nCoV ranged from 1.7926 \u00d7\u200910<jats:sup>\u22123<\/jats:sup> to 1.8266\u2009\u00d7\u200910<jats:sup>\u22123<\/jats:sup> substitutions per site per year. On the basis of our study, undertaking epidemiological investigations and genomic data surveillance could positively impact public health in terms of guiding prevention efforts to reduce 2019\u2010nCOV transmission in real\u2010time.<\/jats:p>","DOI":"10.1002\/jmv.25701","type":"journal-article","created":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T10:53:54Z","timestamp":1580986434000},"page":"501-511","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":263,"title":["Transmission dynamics and evolutionary history of 2019\u2010nCoV"],"prefix":"10.1002","volume":"92","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3470-2196","authenticated-orcid":false,"given":"Xingguang","family":"Li","sequence":"first","affiliation":[{"name":"Hubei Engineering Research Center of Viral Vector Wuhan University of Bioengineering Wuhan 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