دورية أكاديمية
Combining genomic data and infection estimates to characterize the complex dynamics of SARS-CoV-2 Omicron variants in the US.
العنوان: | Combining genomic data and infection estimates to characterize the complex dynamics of SARS-CoV-2 Omicron variants in the US. |
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المؤلفون: | Lopes R; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA. Electronic address: rafael.lopes@yale.edu., Pham K; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA., Klaassen F; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA., Chitwood MH; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA., Hahn AM; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA., Redmond S; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA., Swartwood NA; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA., Salomon JA; Department of Health Policy, Stanford University School of Medicine, Stanford, CA, USA., Menzies NA; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA., Cohen T; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA. Electronic address: theodore.cohen@yale.edu., Grubaugh ND; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA. Electronic address: nathan.grubaugh@yale.edu. |
المصدر: | Cell reports [Cell Rep] 2024 Jul 23; Vol. 43 (7), pp. 114451. Date of Electronic Publication: 2024 Jul 05. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Cell Press Country of Publication: United States NLM ID: 101573691 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2211-1247 (Electronic) NLM ISO Abbreviation: Cell Rep Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: [Cambridge, MA] : Cell Press, c 2012- |
مواضيع طبية MeSH: | SARS-CoV-2*/genetics , SARS-CoV-2*/isolation & purification , COVID-19*/virology , COVID-19*/epidemiology, Humans ; United States/epidemiology ; Genome, Viral ; Genomics/methods |
مستخلص: | Omicron surged as a variant of concern in late 2021. Several distinct Omicron variants appeared and overtook each other. We combined variant frequencies and infection estimates from a nowcasting model for each US state to estimate variant-specific infections, attack rates, and effective reproduction numbers (R Competing Interests: Declaration of interests N.D.G. is a paid consultant for BioNTech. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.) |
فهرسة مساهمة: | Keywords: CP: Microbiology |
SCR Organism: | SARS-CoV-2 variants |
تواريخ الأحداث: | Date Created: 20240706 Date Completed: 20240728 Latest Revision: 20240728 |
رمز التحديث: | 20240728 |
DOI: | 10.1016/j.celrep.2024.114451 |
PMID: | 38970788 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2211-1247 |
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DOI: | 10.1016/j.celrep.2024.114451 |