Using SARS-CoV-2 Sequencing Data to Identify Reinfection Cases in the Global Emerging Infections Surveillance Program, United States
Deanna Muehleman, Bill Gruner, Vivian Hogan, Padraic Fanning, Carol Garrett, Jennifer Meyer, Kelsey Lanter, Sarah Purves, Laurie DeMarcus, Jeffrey Thervil, Bismark Kwaah, Paul Sjoberg, Elizabeth Macias, and Anthony Fries
Author affiliation: US Air Force School of Aerospace Medicine and Defense Centers for Public Health, Dayton, Ohio, USA (D. Muehleman, B. Gruner, V. Hogan, P. Fanning, C. Garrett, J. Meyer, K. Lanter, S. Purves, L. Demarcus, J. Thervil, B. Kwaah, P. Sjoberg, E. Macias, A. Fries); JYG Innovations, Dayton (D. Muehleman, B. Gruner, S. Purves); Henry Jackson Foundation, Rockville, MD, USA (V. Hogan); ERP360 Solutions Group LLC, Washington, DC, USA (P. Fanning, J. Meyer, K. Lanter); Innovative Element LLC, Washington (L. Demarcus, J. Thervil, B. Kwaah, P. Sjoberg)
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Figure 1
Figure 1. Case selection in study using SARS-CoV-2 sequencing data to identify reinfection cases in Department of Defense Global Respiratory Pathogen Surveillance Program, United States. Flowchart shows case selection criteria used to identify a SARS-CoV-2 reinfection according to whole-genome sequencing. Patient had either a reinfection if the Nextstrain (https://nextstrain.org) clade was different between the first and second specimen collection timepoints or had a continuing infection if the same clade was identified at both timepoints. DoDID, Department of Defense identification number; WGS, whole-genome sequencing.
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