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  1. Article ; Online: Recruitment, Consent and DNA Sample Acquisition in a U.S. Precision Health Cohort During the COVID-19 Pandemic

    Derry, Allyson M. / Strong, Yvette / Schioppo, Davia / Cotter, Joni / Wilkins, Geisa M. / Siquieros, Laura I. / Ouyang, Andrea / Hulseman, Kathleen / Petrosino, Joseph / Liang, Lorrin / Stevenson, Megan / Aguilera, Tiffany Elianne / Soto, Alexandria L. / Meurer, Katherin / Herman, Alison L. / Cohen, Inessa / Falcone, Guido J. / Longbrake, Erin E. / Ochoa Chaar, Cassius I. /
    Anastasio, Kelly M. / Murray, Michael F.

    medRxiv

    Abstract: Aim: The Yale Generations Project (YGP) is a precision health cohort initiative that began enrollment in New Haven Connecticut USA in July 2019. In March 2020, after nine months of operation, pandemic restrictions prompted abrupt changes to staff ... ...

    Abstract Aim: The Yale Generations Project (YGP) is a precision health cohort initiative that began enrollment in New Haven Connecticut USA in July 2019. In March 2020, after nine months of operation, pandemic restrictions prompted abrupt changes to staff availability as well as changes to the projects recruitment, consenting, and sample acquisition. This manuscript describes the successful addition of remote recruitment, consenting, and DNA sampling to YGP workflows during the initial 27-months of pandemic restrictions ending June 30, 2022. Methods: The initial YGP protocol established face-to-face workflow for recruiting, consenting and peripheral blood collection. A telemedicine consent protocol was initiated in April of 2020, and a remote saliva collection was established in October of 2020. De-identified data was extracted from YGP dataset and reported here. Results: At the completion of YGPs initial 36 months (9-months pre-pandemic and 27-months pandemic) YGP enrolled N=4949 volunteers. There were N=1,950 (216.7 per month) volunteers consented pre-pandemic and N=2,999 (111.1 per month) during pandemic. The peak consenting month was February 2020 with N=428. DNA sample acquisition peaked in the pre-pandemic month of February 2020 with N=291 peripheral blood draws, and in the pandemic period the peak DNA acquisition month was November 2020 with N=176 (N=68 peripheral blood draws and N=108 saliva samples). Conclusion: The YGP successfully transitioned from pre-pandemic recruiting, consenting and sample acquisition model that was exclusively face-to-face, to pandemic model that was predominantly remote. The added value of remote recruiting, consenting, and sampling has led to plans for an optimized hybrid model post-pandemic. Keywords: genomics, precision health, COVID-19, cohort
    Keywords covid19
    Language English
    Publishing date 2023-09-27
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.09.25.23289158
    Database COVID19

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  2. Article ; Online: Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut: Post-Infection Prevalence (PIP) Study.

    Mahajan, Shiwani / Srinivasan, Rajesh / Redlich, Carrie A / Huston, Sara K / Anastasio, Kelly M / Cashman, Lisa / Massey, Dorothy S / Dugan, Andrew / Witters, Dan / Marlar, Jenny / Li, Shu-Xia / Lin, Zhenqiu / Hodge, Domonique / Chattopadhyay, Manas / Adams, Mark D / Lee, Charles / Rao, Lokinendi V / Stewart, Chris / Kuppusamy, Karthik /
    Ko, Albert I / Krumholz, Harlan M

    The American journal of medicine

    2020  Volume 134, Issue 4, Page(s) 526–534.e11

    Abstract: Background: A seroprevalence study can estimate the percentage of people with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in the general population; however, most existing reports have used a convenience sample, which may ... ...

    Abstract Background: A seroprevalence study can estimate the percentage of people with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in the general population; however, most existing reports have used a convenience sample, which may bias their estimates.
    Methods: We sought a representative sample of Connecticut residents, ages ≥18 years and residing in noncongregate settings, who completed a survey between June 4 and June 23, 2020, and underwent serology testing for SARS-CoV-2-specific immunoglobulin G (IgG) antibodies between June 10 and July 29, 2020. We also oversampled non-Hispanic black and Hispanic subpopulations. We estimated the seroprevalence of SARS-CoV-2-specific IgG antibodies and the prevalence of symptomatic illness and self-reported adherence to risk-mitigation behaviors among this population.
    Results: Of the 567 respondents (mean age 50 [± 17] years; 53% women; 75% non-Hispanic white individuals) included at the state level, 23 respondents tested positive for SARS-CoV-2-specific antibodies, resulting in weighted seroprevalence of 4.0 (90% confidence interval [CI] 2.0-6.0). The weighted seroprevalence for the oversampled non-Hispanic black and Hispanic populations was 6.4% (90% CI 0.9-11.9) and 19.9% (90% CI 13.2-26.6), respectively. The majority of respondents at the state level reported following risk-mitigation behaviors: 73% avoided public places, 75% avoided gatherings of families or friends, and 97% wore a facemask, at least part of the time.
    Conclusions: These estimates indicate that the vast majority of people in Connecticut lack antibodies against SARS-CoV-2, and there is variation by race and ethnicity. There is a need for continued adherence to risk-mitigation behaviors among Connecticut residents to prevent resurgence of COVID-19 in this region.
    MeSH term(s) Antibodies, Viral/blood ; Attitude to Health/ethnology ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/immunology ; COVID-19/psychology ; COVID-19 Serological Testing/methods ; COVID-19 Serological Testing/statistics & numerical data ; Connecticut/epidemiology ; Ethnic Groups ; Female ; Humans ; Immunoglobulin G/blood ; Male ; Middle Aged ; Needs Assessment ; Prevalence ; Risk Reduction Behavior ; SARS-CoV-2/isolation & purification ; Seroepidemiologic Studies
    Chemical Substances Antibodies, Viral ; Immunoglobulin G
    Keywords covid19
    Language English
    Publishing date 2020-10-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80015-6
    ISSN 1555-7162 ; 1873-2178 ; 0002-9343 ; 1548-2766
    ISSN (online) 1555-7162 ; 1873-2178
    ISSN 0002-9343 ; 1548-2766
    DOI 10.1016/j.amjmed.2020.09.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut Between March 1 and June 1, 2020: Post-Infection Prevalence (PIP) Study

    Mahajan, Shiwani / Srinivasan, Rajesh / Redlich, Carrie A / Huston, Sara K / Anastasio, Kelly M / Cashman, Lisa / Witters, Dan / Marlar, Jenny / Li, Shu-Xia / Lin, Zhenqiu / Hodge, Domonique / Chattopadhyay, Manas / Adams, Mark D / Lee, Charles / Rao, Lokinendi V / Stewart, Chris / Kuppusamy, Karthik / Ko, Albert I / Krumholz, Harlan M

    medRxiv

    Abstract: Importance: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population. Most existing reports have used a convenience sample, which may bias their estimates. Objective: To estimate the seroprevalence ...

    Abstract Importance: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population. Most existing reports have used a convenience sample, which may bias their estimates. Objective: To estimate the seroprevalence of antibodies against SARS-CoV-2 based on a random sample of adults living in Connecticut between March 1 and June 1, 2020. Design: Cross-sectional. Setting: We sought a representative sample of Connecticut residents who completed a survey between June 4 and June 23, 2020 and underwent serology testing for SARS-CoV-2-specific IgG antibodies between June 10 and July 6, 2020. Participants: 505 respondents, aged ≥18 years, residing in non-congregate settings who completed both the survey and the serology test. Main outcomes and measures: We estimated the seroprevalence of SARS-CoV-2-specific IgG antibodies among the overall population and across pre-specified subgroups. We also assessed the prevalence of symptomatic illness, risk factors for virus exposure, and self-reported adherence to risk mitigation behaviors among this population. Results: Of the 505 respondents (mean age 50 [±17] years; 54% women; 76% non-Hispanic White individuals) included, 32% reported having at least 1 symptom suggestive of COVID-19 since March 1, 2020. Overall, 18 respondents had SARS-CoV-2-specific antibodies, resulting in the state-level weighted seroprevalence of 3.1 (90% CI 1.4-4.8). Individuals who were asymptomatic had significantly lower seroprevalence (0.6% [90% CI 0.0-1.5]) compared with the overall state estimate, while those who reported having had ≥1 and ≥2 symptoms had a seroprevalence of 8.0% (90% CI 3.1-12.9) and 13.0% (90% CI 3.5-22.5), respectively. All 9 of the respondents who reported previously having a positive coronavirus test were positive for SARS-CoV-2-specific IgG antibodies. Nearly two-third of respondents reported having avoided public places (74%) and small gatherings of family or friends (75%), and 97% reported wearing a mask outside their home, at least part of the time. Conclusions and relevance: These estimates indicate that most people in Connecticut do not have detectable levels of antibodies against SARS-CoV-2. There is a need for continued adherence to risk mitigation behaviors among Connecticut residents, to prevent resurgence of COVID-19 in this region.
    Keywords covid19
    Language English
    Publishing date 2020-08-06
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.08.04.20168203
    Database COVID19

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  4. Article: Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut: Post-Infection Prevalence (PIP) Study

    Mahajan, Shiwani / Srinivasan, Rajesh / Redlich, Carrie A / Huston, Sara K / Anastasio, Kelly M / Cashman, Lisa / Massey, Dorothy S / Dugan, Andrew / Witters, Dan / Marlar, Jenny / Li, Shu-Xia / Lin, Zhenqiu / Hodge, Domonique / Chattopadhyay, Manas / Adams, Mark D / Lee, Charles / Rao, Lokinendi V / Stewart, Chris / Kuppusamy, Karthik /
    Ko, Albert I / Krumholz, Harlan M

    Am. j. med

    Abstract: BACKGROUND: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population, however, most existing reports have used a convenience sample, which may bias their estimates. METHODS: We sought a ... ...

    Abstract BACKGROUND: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population, however, most existing reports have used a convenience sample, which may bias their estimates. METHODS: We sought a representative sample of Connecticut residents, aged ≥18 years and residing in non-congregate settings, who completed a survey between June 4 and June 23, 2020 and underwent serology testing for SARS-CoV-2-specific IgG antibodies between June 10 and July 29, 2020. We also oversampled non-Hispanic Black and Hispanic subpopulations. We estimated the seroprevalence of SARS-CoV-2-specific IgG antibodies and the prevalence of symptomatic illness and self-reported adherence to risk mitigation behaviors among this population. RESULTS: Of the 567 respondents (mean age 50 [±17] years; 53% women; 75% non-Hispanic White individuals) included at the state-level, 23 respondents tested positive for SARS-CoV-2-specific antibodies, resulting in weighted seroprevalence of 4.0 (90% confidence interval [CI] 2.0-6.0). The weighted seroprevalence for the oversampled non-Hispanic Black and Hispanic populations was 6.4% (90% CI 0.9-11.9) and 19.9% (90% CI 13.2-26.6), respectively. The majority of respondents at the state-level reported following risk mitigation behaviors: 73% avoided public places, 75% avoided gatherings of families or friends, and 97% wore a facemask, at least part of the time. CONCLUSIONS: These estimates indicate that the vast majority of people in Connecticut lack antibodies against SARS-CoV-2 and there is variation by race/ethnicity. There is a need for continued adherence to risk mitigation behaviors among Connecticut residents to prevent resurgence of COVID-19 in this region.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #893429
    Database COVID19

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  5. Book ; Online: Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut

    Mahajan, Shiwani / Srinivasan, Rajesh / Redlich, Carrie A / Huston, Sara K / Anastasio, Kelly M / Cashman, Lisa / Massey, Dorothy S / Dugan, Andrew / Witters, Dan / Marlar, Jenny / Li, Shu-Xia / Lin, Zhenqiu / Hodge, Domonique / Chattopadhyay, Manas / Adams, Mark D / Lee, Charles / Rao, Lokinendi V / Stewart, Chris / Kuppusamy, Karthik /
    Ko, Albert I / Krumholz, Harlan M

    Faculty Research Ahead of Print

    Post-Infection Prevalence (PIP) Study.

    2020  

    Abstract: BACKGROUND: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population, however, most existing reports have used a convenience sample, which may bias their estimates. METHODS: We sought a ... ...

    Abstract BACKGROUND: A seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population, however, most existing reports have used a convenience sample, which may bias their estimates. METHODS: We sought a representative sample of Connecticut residents, aged ≥18 years and residing in non-congregate settings, who completed a survey between June 4 and June 23, 2020 and underwent serology testing for SARS-CoV-2-specific IgG antibodies between June 10 and July 29, 2020. We also oversampled non-Hispanic Black and Hispanic subpopulations. We estimated the seroprevalence of SARS-CoV-2-specific IgG antibodies and the prevalence of symptomatic illness and self-reported adherence to risk mitigation behaviors among this population. RESULTS: Of the 567 respondents (mean age 50 [±17] years; 53% women; 75% non-Hispanic White individuals) included at the state-level, 23 respondents tested positive for SARS-CoV-2-specific antibodies, resulting in weighted seroprevalence of 4.0 (90% confidence interval [CI] 2.0-6.0). The weighted seroprevalence for the oversampled non-Hispanic Black and Hispanic populations was 6.4% (90% CI 0.9-11.9) and 19.9% (90% CI 13.2-26.6), respectively. The majority of respondents at the state-level reported following risk mitigation behaviors: 73% avoided public places, 75% avoided gatherings of families or friends, and 97% wore a facemask, at least part of the time. CONCLUSIONS: These estimates indicate that the vast majority of people in Connecticut lack antibodies against SARS-CoV-2 and there is variation by race/ethnicity. There is a need for continued adherence to risk mitigation behaviors among Connecticut residents to prevent resurgence of COVID-19 in this region.
    Keywords JGM ; JAXCC ; Life Sciences ; Medicine and Health Sciences ; covid19
    Publishing date 2020-10-29T07:00:00Z
    Publisher The Mouseion at the JAXlibrary
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut

    Mahajan, Shiwani / Srinivasan, Rajesh / Redlich, Carrie A. / Huston, Sara K. / Anastasio, Kelly M. / Cashman, Lisa / Massey, Dorothy S. / Dugan, Andrew / Witters, Dan / Marlar, Jenny / Li, Shu-Xia / Lin, Zhenqiu / Hodge, Domonique / Chattopadhyay, Manas / Adams, Mark D. / Lee, Charles / Rao, Lokinendi V. / Stewart, Chris / Kuppusamy, Karthik /
    Ko, Albert I. / Krumholz, Harlan M.

    The American Journal of Medicine ; ISSN 0002-9343

    Post-Infection Prevalence (PIP) Study

    2020  

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.1016/j.amjmed.2020.09.024
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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