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Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools.

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Title: Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools.
Authors: Binder RA; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Matta AM; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Forconi CS; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Oduor CI; Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States of America., Bedekar P; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America.; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States of America., Patrone PN; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America., Kearsley AJ; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America., Odwar B; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Batista J; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Forrester SN; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Leftwich HK; Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Cavacini LA; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America., Moormann AM; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.
Source: PloS one [PLoS One] 2024 Jul 25; Vol. 19 (7), pp. e0307568. Date of Electronic Publication: 2024 Jul 25 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Minding the margins: Evaluating the impact of COVID-19 among Latinx and Black communities with optimal qualitative serological assessment tools.
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  Data: <searchLink fieldCode="AU" term="%22Binder+RA%22">Binder RA</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Matta+AM%22">Matta AM</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Forconi+CS%22">Forconi CS</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Oduor+CI%22">Oduor CI</searchLink>; Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States of America.<br /><searchLink fieldCode="AU" term="%22Bedekar+P%22">Bedekar P</searchLink>; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America.; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States of America.<br /><searchLink fieldCode="AU" term="%22Patrone+PN%22">Patrone PN</searchLink>; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America.<br /><searchLink fieldCode="AU" term="%22Kearsley+AJ%22">Kearsley AJ</searchLink>; Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, MD, United States of America.<br /><searchLink fieldCode="AU" term="%22Odwar+B%22">Odwar B</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Batista+J%22">Batista J</searchLink>; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Forrester+SN%22">Forrester SN</searchLink>; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Leftwich+HK%22">Leftwich HK</searchLink>; Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Cavacini+LA%22">Cavacini LA</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Moormann+AM%22">Moormann AM</searchLink>; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Jul 25; Vol. 19 (7), pp. e0307568. <i>Date of Electronic Publication: </i>2024 Jul 25 (<i>Print Publication: </i>2024).
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