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  1. Article ; Online: SARS-CoV-2 IgG antibody responses in New York City.

    Reifer, Josh / Hayum, Nosson / Heszkel, Benzion / Klagsbald, Ikey / Streva, Vincent A

    Diagnostic microbiology and infectious disease

    2020  Volume 98, Issue 3, Page(s) 115128

    Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a strain of coronavirus that causes coronavirus disease 2019 (Covid-19) and has been declared a global pandemic by the World Health Organization. Total cases of SARS-CoV-2 worldwide exceed ... ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a strain of coronavirus that causes coronavirus disease 2019 (Covid-19) and has been declared a global pandemic by the World Health Organization. Total cases of SARS-CoV-2 worldwide exceed 10.2 million, with over 503,000 deaths recorded. Little is known about the body's immune response to SARS-CoV-2 infection. In this paper, we describe SARS-CoV-2 IgG antibody responses in 28,523 patients from the New York City metropolitan area and report a SARS-CoV-2 IgG positivity rate of 44%, indicating the widespread nature of the pandemic in the city and state of New York. Additionally, for a subset of patients, we report on the correlation between SARS-CoV-2 patient symptom severity and level of SARS-CoV-2 IgG antibody found in the patient sample.
    MeSH term(s) Antibodies, Viral/blood ; Antibodies, Viral/immunology ; Antibody Formation/immunology ; Betacoronavirus/immunology ; COVID-19 ; Coronavirus Infections/immunology ; Coronavirus Infections/pathology ; Female ; Humans ; Immunoglobulin G/blood ; Immunoglobulin G/immunology ; Male ; New York City ; Pandemics ; Pneumonia, Viral/immunology ; Pneumonia, Viral/pathology ; SARS-CoV-2 ; Severity of Illness Index
    Chemical Substances Antibodies, Viral ; Immunoglobulin G
    Keywords covid19
    Language English
    Publishing date 2020-07-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604920-5
    ISSN 1879-0070 ; 0732-8893
    ISSN (online) 1879-0070
    ISSN 0732-8893
    DOI 10.1016/j.diagmicrobio.2020.115128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: SARS-CoV-2 IgG antibody responses in New York City

    Reifer, Josh / Hayum, Nosson / Heszkel, Benzion / Klagsbald, Ikey / Streva, Vincent A.

    Diagnostic Microbiology and Infectious Disease

    2020  Volume 98, Issue 3, Page(s) 115128

    Keywords Microbiology (medical) ; Infectious Diseases ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 604920-5
    ISSN 0732-8893
    ISSN 0732-8893
    DOI 10.1016/j.diagmicrobio.2020.115128
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: SARS-CoV-2 IgG Antibody Responses in New York City

    Reifer, Josh / Hayum, Nosson / Heszkel, Benzion / Klagsbald, Ikey / Streva, Vincent A

    medRxiv

    Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a strain of coronavirus that causes coronavirus disease 2019 (Covid-19) and has been declared a global pandemic by the World Health Organization. Total cases of SARS-CoV-2 worldwide exceed 4. ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a strain of coronavirus that causes coronavirus disease 2019 (Covid-19) and has been declared a global pandemic by the World Health Organization. Total cases of SARS-CoV-2 worldwide exceed 4.8 million, with over 320,000 deaths recorded. Little is known about the body9s immune response to SARS-CoV-2 infection. In this paper, we describe SARS-CoV-2 IgG antibody responses in 11,092 patients from the New York City metropolitan area and report a SARS-CoV-2 IgG positivity rate of nearly 50%, indicating the widespread nature of the pandemic in the city and state of New York. Additionally, we report on the correlation between SARS-CoV-2 patient symptom severity and level of SARS-CoV-2 IgG antibody found in the patient sample.
    Keywords covid19
    Language English
    Publishing date 2020-05-26
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.05.23.20111427
    Database COVID19

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