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  1. Article ; Online: SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut.

    Mahajan, Shiwani / Caraballo, César / Li, Shu-Xia / Dong, Yike / Chen, Lian / Huston, Sara K / Srinivasan, Rajesh / Redlich, Carrie A / Ko, Albert I / Faust, Jeremy S / Forman, Howard P / Krumholz, Harlan M

    The American journal of medicine

    2021  Volume 134, Issue 6, Page(s) 812–816.e2

    Abstract: Background: Infection fatality rate and infection hospitalization rate, defined as the proportion of deaths and hospitalizations, respectively, of the total infected individuals, can estimate the actual toll of coronavirus disease 2019 (COVID-19) on a ... ...

    Abstract Background: Infection fatality rate and infection hospitalization rate, defined as the proportion of deaths and hospitalizations, respectively, of the total infected individuals, can estimate the actual toll of coronavirus disease 2019 (COVID-19) on a community, as the denominator is ideally based on a representative sample of a population, which captures the full spectrum of illness, including asymptomatic and untested individuals.
    Objective: To determine the COVID-19 infection hospitalization rate and infection fatality rate among the non-congregate population in Connecticut between March 1 and June 1, 2020.
    Methods: The infection hospitalization rate and infection fatality rate were calculated for adults residing in non-congregate settings in Connecticut prior to June 2020. Individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies were estimated using the seroprevalence estimates from the recently conducted Post-Infection Prevalence study. Information on total hospitalizations and deaths was obtained from the Connecticut Hospital Association and the Connecticut Department of Public Health, respectively.
    Results: Prior to June 1, 2020, nearly 113,515 (90% confidence interval [CI] 56,758-170,273) individuals were estimated to have SARS-CoV-2 antibodies, and there were 7792 hospitalizations and 1079 deaths among the non-congregate population. The overall COVID-19 infection hospitalization rate and infection fatality rate were estimated to be 6.86% (90% CI, 4.58%-13.72%) and 0.95% (90% CI, 0.63%-1.90%), respectively, and there was variation in these rate estimates across subgroups; older people, men, non-Hispanic Black people, and those belonging to 2 of the counties had a higher burden of adverse outcomes, although the differences between most subgroups were not statistically significant.
    Conclusions: Using representative seroprevalence estimates, the overall COVID-19 infection hospitalization rate and infection fatality rate were estimated to be 6.86% and 0.95%, respectively, among community residents in Connecticut.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/immunology ; COVID-19/prevention & control ; COVID-19/virology ; COVID-19 Serological Testing/methods ; COVID-19 Serological Testing/statistics & numerical data ; Carrier State/epidemiology ; Communicable Disease Control/organization & administration ; Communicable Disease Control/statistics & numerical data ; Connecticut/epidemiology ; Disease Transmission, Infectious/prevention & control ; Disease Transmission, Infectious/statistics & numerical data ; Female ; Hospitalization/statistics & numerical data ; Humans ; Male ; Middle Aged ; Mortality ; Outcome Assessment, Health Care ; Risk Assessment/methods ; Risk Assessment/statistics & numerical data ; SARS-CoV-2/isolation & purification ; Seroepidemiologic Studies
    Language English
    Publishing date 2021-02-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    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.2021.01.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate among the Non-Congregant Population in Connecticut

    Mahajan, Shiwani / Caraballo, Cesar / Li, Shu-Xia / Dong, Claire / Chen, Lian / Huston, Sara K / Srinivasan, Rajesh / Redlich, Carrie A / Ko, Albert I / Faust, Jeremy S / Forman, Howard P / Krumholz, Harlan M

    medRxiv

    Abstract: Importance: COVID-19 case fatality and hospitalization rates, calculated using the number of confirmed cases of COVID-19, have been described widely in the literature. However, the number of infections confirmed by testing underestimates the total ... ...

    Abstract Importance: COVID-19 case fatality and hospitalization rates, calculated using the number of confirmed cases of COVID-19, have been described widely in the literature. However, the number of infections confirmed by testing underestimates the total infections as it is biased based on the availability of testing and because asymptomatic individuals may remain untested. The infection fatality rate (IFR) and infection hospitalization rate (IHR), calculated using the estimated total infections based on a representative sample of a population, is a better metric to assess the actual toll of the disease. Objective: To determine the IHR and IFR for COVID-19 using the statewide SARS-CoV-2 seroprevalence estimates for the non-congregate population in Connecticut. Design: Cross-sectional. Setting: Adults residing in a non-congregate setting in Connecticut between March 1 and June 1, 2020. Participants: Individuals aged 18 years or above. Exposure: Estimated number of adults with SARS-CoV-2 antibodies. Main Outcome and Measures: COVID-19-related hospitalizations and deaths among adults residing in a non-congregate setting in Connecticut between March 1 and June 1, 2020. Results: Of the 2.8 million individuals residing in the non-congregate settings in Connecticut through June 2020, 113,515 (90% CI 56,758-170,273) individuals had SARS-CoV-2 antibodies. There were a total of 9425 COVID-19-related hospitalizations and 4071 COVID-19-related deaths in Connecticut between March 1 and June 1, 2020, of which 7792 hospitalizations and 1079 deaths occurred among the non-congregate population. The overall COVID-19 IHR and IFR was 6.86% (90% CI, 4.58%-13.72%) and 0.95% (90% CI, 0.63%-1.90%) among the non-congregate population. Older individuals, men, non-Hispanic Black individuals and those belonging to New Haven and Litchfield counties had a higher burden of hospitalization and deaths, compared with younger individuals, women, non-Hispanic White or Hispanic individuals, and those belonging to New London county, respectively. Conclusion and Relevance: Using representative seroprevalence estimates, the overall COVID-19 IHR and IFR were estimated to be 6.86% and 0.95% among the non-congregate population in Connecticut. Accurate estimation of IHR and IFR among community residents is important to guide public health strategies during an infectious disease outbreak.
    Keywords covid19
    Language English
    Publishing date 2020-11-04
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.10.30.20223461
    Database COVID19

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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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