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10.1126/science.abc0523

http://scihub22266oqcxt.onion/10.1126/science.abc0523
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32913002!7810035!32913002
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suck abstract from ncbi


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pmid32913002      Science 2020 ; 370 (6516): 571-575
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  • Cryptic transmission of SARS-CoV-2 in Washington state #MMPMID32913002
  • Bedford T; Greninger AL; Roychoudhury P; Starita LM; Famulare M; Huang ML; Nalla A; Pepper G; Reinhardt A; Xie H; Shrestha L; Nguyen TN; Adler A; Brandstetter E; Cho S; Giroux D; Han PD; Fay K; Frazar CD; Ilcisin M; Lacombe K; Lee J; Kiavand A; Richardson M; Sibley TR; Truong M; Wolf CR; Nickerson DA; Rieder MJ; Englund JA; Hadfield J; Hodcroft EB; Huddleston J; Moncla LH; Muller NF; Neher RA; Deng X; Gu W; Federman S; Chiu C; Duchin JS; Gautom R; Melly G; Hiatt B; Dykema P; Lindquist S; Queen K; Tao Y; Uehara A; Tong S; MacCannell D; Armstrong GL; Baird GS; Chu HY; Shendure J; Jerome KR
  • Science 2020[Oct]; 370 (6516): 571-575 PMID32913002show ga
  • After its emergence in Wuhan, China, in late November or early December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus rapidly spread globally. Genome sequencing of SARS-CoV-2 allows the reconstruction of its transmission history, although this is contingent on sampling. We analyzed 453 SARS-CoV-2 genomes collected between 20 February and 15 March 2020 from infected patients in Washington state in the United States. We find that most SARS-CoV-2 infections sampled during this time derive from a single introduction in late January or early February 2020, which subsequently spread locally before active community surveillance was implemented.
  • |*Genome, Viral[MESH]
  • |Bayes Theorem[MESH]
  • |Betacoronavirus/*genetics[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*epidemiology/*transmission[MESH]
  • |Humans[MESH]
  • |Likelihood Functions[MESH]
  • |Pandemics[MESH]
  • |Phylogeny[MESH]
  • |Pneumonia, Viral/*epidemiology/*transmission[MESH]
  • |SARS-CoV-2[MESH]


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