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1.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.28.21268458

ABSTRACT

Importance: There are limited data describing SARS-CoV-2-specific immune responses and their durability following infection and vaccination in nursing home residents. Objective: To evaluate the quantitative titers and durability of binding antibodies detected after SARS-CoV-2 infection and subsequent COVID-19 vaccination. Design: A prospective longitudinal evaluation included nine visits over 150 days; visits included questionnaire administration, blood collection for serology, and paired anterior nasal specimen collection for testing by BinaxNOW COVID-19 Ag Card (BinaxNOW), reverse transcription polymerase chain reaction (RT-PCR), and viral culture. Setting: A nursing home during and after a SARS-CoV-2 outbreak. Participants: 11 consenting SARS-CoV-2-positive nursing home residents. Main Outcomes and Measures: SARS-CoV-2 testing (BinaxNOW, RT-PCR, viral culture); quantitative titers of binding SARS-CoV-2 antibodies post-infection and post-vaccination (beginning after the first dose of the primary series). Results: Of 10 participants with post-infection serology results, 9 (90%) had detectable Pan-Ig, IgG, and IgA antibodies and 8 (80%) had detectable IgM antibodies. At first antibody detection post-infection, two-thirds (6/9, 67%) of participants were RT-PCR-positive but none were culture positive. Ten participants received vaccination; all had detectable Pan-Ig, IgG, and IgA antibodies through their final observation [≤]90 days post-first dose. Post-vaccination geometric means of IgG titers were 10-200-fold higher than post-infection. Conclusions and Relevance: Nursing home residents in this cohort mounted robust immune responses to SARS-CoV-2 post-infection and post-vaccination. The augmented antibody responses post-vaccination are potential indicators of enhanced protection that vaccination may confer on previously infected nursing home residents.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
2.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.12.07.20244103

ABSTRACT

Estimating prevalence of SARS-CoV-2 antibodies is important to determine disease burden. We tested residual samples from 763 Seattle-area adults for SARS-CoV-2 antibodies. Prevalence rose from 0% to 1.2% between October 2019-April 2020, suggesting a small percentage of this metropolitan-area cohort had been infected with SARS-CoV-2 at that time.

3.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.06.25.20140384

ABSTRACT

ImportanceReported cases of SARS-CoV-2 infection likely underestimate the prevalence of infection in affected communities. Large-scale seroprevalence studies provide better estimates of the proportion of the population previously infected. ObjectiveTo estimate prevalence of SARS-CoV-2 antibodies in convenience samples from several geographic sites in the United States. DesignSerologic testing of convenience samples using residual sera obtained for routine clinical testing by two commercial laboratory companies. SettingConnecticut (CT), south Florida (FL), Missouri (MO), New York City metro region (NYC), Utah (UT), and Washington States (WA) Puget Sound region. ParticipantsPersons of all ages with serum collected during intervals from March 23 through May 3, 2020. ExposureSARS-CoV-2 virus infection. Main outcomes and measuresWe estimated the presence of antibodies to SARS-CoV-2 spike protein using an ELISA assay. We standardized estimates to the site populations by age and sex. Estimates were adjusted for test performance characteristics (96.0% sensitivity and 99.3% specificity). We estimated the number of infections in each site by extrapolating seroprevalence to site populations. We compared estimated infections to number of reported COVID-19 cases as of last specimen collection date. ResultsWe tested sera from 11,933 persons. Adjusted estimates of the proportion of persons seroreactive to the SARS-CoV-2 spike protein ranged from 1.13% (95% confidence interval [CI] 0.70-1.94) in WA to 6.93% (95% CI 5.02-8.92) in NYC (collected March 23-April 1). For sites with later collection dates, estimates ranged from 1.85% (95% CI 1.00-3.23, collected April 6-10) for FL to 4.94% (95% CI 3.61-6.52) for CT (April 26-May 3). The estimated number of infections ranged from 6 to 24 times the number of reported cases in each site. Conclusions and relevanceOur seroprevalence estimates suggest that for five of six U.S. sites, from late March to early May 2020, >10 times more SARS-CoV-2 infections occurred than the number of reported cases. Seroprevalence and under-ascertainment varied by site and specimen collection period. Most specimens from each site had no evidence of antibody to SARS-CoV-2. Tracking population seroprevalence serially, in a variety of specific geographic sites, will inform models of transmission dynamics and guide future community-wide public health measures. Key findingsO_ST_ABSQuestionC_ST_ABSWhat proportion of persons in six U.S. sites had detectable antibodies to SARS-CoV-2, March 23-May 3, 2020? FindingsWe tested 11,933 residual clinical specimens. We estimate that from 1.1% of persons in the Puget Sound to 6.9% in New York City (collected March 23-April 1) had detectable antibodies. Estimates ranged from 1.9% in south Florida to 4.9% in Connecticut with specimens collected during intervals from April 6-May 3. Six to 24 times more infections were estimated per site with seroprevalence than with case report data. MeaningFor most sites, evidence suggests >10 times more SARS-CoV-2 infections occurred than reported cases. Most persons in each site likely had no detectable SARS-CoV-2 antibodies.


Subject(s)
COVID-19
4.
Rachel M Burke; Sharon Balter; Emily Barnes; Vaughn Barry; Karri Bartlett; Karlyn D Beer; Isaac Benowitz; Holly M Biggs; Hollianne Bruce; Jonathan Bryant-Genevier; Jordan Cates; Kevin Chatham-Stephens; Nora Chea; Howard Chiou; Demian Christiansen; Victoria Chu; Shauna Clark; Sara H. Cody; Max Cohen; Erin E Conners; Vishal Dasari; Patrick Dawson; Traci DeSalvo; Matthew Donahue; Alissa Dratch; Lindsey Duca; Jeffrey Duchin; Jonathan W Dyal; Leora R Feldstein; Marty Fenstersheib; Marc Fischer; Rebecca Fisher; Chelsea Foo; Brandi Freeman-Ponder; Alicia M Fry; Jessica Gant; Romesh Gautom; Isaac Ghinai; Prabhu Gounder; Cheri T Grigg; Jeffrey Gunzenhauser; Aron J Hall; George S Han; Thomas Haupt; Michelle Holshue; Jennifer Hunter; Mireille B Ibrahim; Max W Jacobs; M. Claire Jarashow; Kiran Joshi; Talar Kamali; Vance Kawakami; Moon Kim; Hannah Kirking; Amanda Kita-Yarbro; Rachel Klos; Miwako Kobayashi; Anna Kocharian; Misty Lang; Jennifer Layden; Eva Leidman; Scott Lindquist; Stephen Lindstrom; Ruth Link-Gelles; Mariel Marlow; Claire P Mattison; Nancy McClung; Tristan McPherson; Lynn Mello; Claire M Midgley; Shannon Novosad; Megan T Patel; Kristen Pettrone; Satish K Pillai; Ian W Pray; Heather E Reese; Heather Rhodes; Susan Robinson; Melissa Rolfes; Janell Routh; Rachel Rubin; Sarah L Rudman; Denny Russell; Sarah Scott; Varun Shetty; Sarah E Smith-Jeffcoat; Elizabeth A Soda; Chris Spitters; Bryan Stierman; Rebecca Sunenshine; Dawn Terashita; Elizabeth Traub; Grace E Vahey; Jennifer R Verani; Megan Wallace; Matthew Westercamp; Jonathan Wortham; Amy Xie; Anna Yousaf; Matthew Zahn.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.04.27.20081901

ABSTRACT

Background Coronavirus disease 2019 (COVID-19), the respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. As part of initial response activities in the United States, enhanced contact investigations were conducted to enable early identification and isolation of additional cases and to learn more about risk factors for transmission. Methods Close contacts of nine early travel-related cases in the United States were identified. Close contacts meeting criteria for active monitoring were followed, and selected individuals were targeted for collection of additional exposure details and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction (RT-PCR) at the Centers for Disease Control and Prevention. Results There were 404 close contacts who underwent active monitoring in the response jurisdictions; 338 had at least basic exposure data, of whom 159 had at least 1 set of respiratory samples collected and tested. Across all known close contacts under monitoring, two additional cases were identified; both secondary cases were in spouses of travel-associated case patients. The secondary attack rate among household members, all of whom had at least 1 respiratory sample tested, was 13% (95% CI: 4 - 38%). Conclusions The enhanced contact tracing investigations undertaken around nine early travel-related cases of COVID-19 in the United States identified two cases of secondary transmission, both spouses. Rapid detection and isolation of the travel-associated case patients, enabled by public awareness of COVID-19 among travelers from China, may have mitigated transmission risk among close contacts of these cases.


Subject(s)
COVID-19 , Respiratory Tract Diseases
5.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.04.24.057323

ABSTRACT

Since emergence of SARS-CoV-2 in late 2019, there has been a critical need to understand prevalence, transmission patterns, to calculate the burden of disease and case fatality rates. Molecular diagnostics, the gold standard for identifying viremic cases, are not ideal for determining true case counts and rates of asymptomatic infection. Serological detection of SARS-CoV-2 specific antibodies can contribute to filling these knowledge gaps. In this study, we describe optimization and validation of a SARS-CoV-2-specific-enzyme linked immunosorbent assay (ELISA) using the prefusion-stabilized form of the spike protein [1]. We performed receiver operator characteristic (ROC) analyses to define the specificities and sensitivities of the optimized assay and examined cross reactivity with immune sera from persons confirmed to have had infections with other coronaviruses. These assays will be used to perform contact investigations and to conduct large-scale, cross sectional surveillance to define disease burden in the population.

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