1
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Wiegand RE, Fireman B, Najdowski M, Tenforde MW, Link-Gelles R, Ferdinands JM. Bias and negative values of COVID-19 vaccine effectiveness estimates from a test-negative design without controlling for prior SARS-CoV-2 infection. Nat Commun 2024; 15:10062. [PMID: 39567531 PMCID: PMC11579392 DOI: 10.1038/s41467-024-54404-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 11/08/2024] [Indexed: 11/22/2024] Open
Abstract
Test-negative designs (TNDs) are used to assess vaccine effectiveness (VE). Protection from infection-induced immunity may confound the association between case and vaccination status, but collecting reliable infection history can be challenging. If vaccinated individuals have less infection-induced protection than unvaccinated individuals, failure to account for infection history could underestimate VE, though the bias is not well understood. We simulated individual-level SARS-CoV-2 infection and COVID-19 vaccination histories and a TND. VE against symptomatic infection and VE against severe disease estimates unadjusted for infection history underestimated VE compared to estimates adjusted for infection history, and unadjusted estimates were more likely to be below 0%, which could lead to an incorrect interpretation that COVID-19 vaccines are harmful. TNDs assessing VE immediately following vaccine rollout introduced the largest bias and potential for negative VE against symptomatic infection. Despite the potential for bias, VE estimates from TNDs without prior infection information are useful because underestimation is rarely more than 8 percentage points.
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Affiliation(s)
- Ryan E Wiegand
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Morgan Najdowski
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
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2
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Franchi L, Atanasov V, Stake M, Bates G, Osinski K, Meurer JR, Black B. The disappearing COVID-Naïve Population and comparative Roche vs. Abbott Test sensitivity: evidence from antibody seroprevalence in Milwaukee County, Wisconsin. Sci Rep 2024; 14:27850. [PMID: 39537699 PMCID: PMC11561140 DOI: 10.1038/s41598-024-76946-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
We study the prevalence of SARS-CoV-2 antibodies in a diverse population in Milwaukee County, Wisconsin from May 2021 to June 2022. We find that 99.4% (523/526) of the participants had positive results for antibodies to the SARS CoV2 spike protein over April-June 2022, soon after the early-2022 Omicron surge. Positive tests for spike protein antibodies were very high (86%; 19/22) even among unvaccinated persons who reported no knowledge of prior infection. Thus, by mid-2022, almost all persons were no longer COVID-naïve, defined as vaccination, infection (often without symptoms), or both. Nucleocapsid antibody tests, especially the Abbott test, were far less sensitive than spike protein tests, and Abbott test sensitivity faded with time since infection. Thus, studies which rely on nucleocapsid tests will understate prior infection rates. We also report large sample evidence on the performance of the Abbott and Roche spike and nucleocapsid protein tests in capturing prior vaccination, infection, or both. The Roche spike protein test outperforms the Abbott spike test, and the Roche nucleocapsid test greatly outperforms the Abbott nucleocapsid test.
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Affiliation(s)
| | - Vladimir Atanasov
- William & Mary, Mason School of Business, Williamsburg, Virginia, USA
| | - Mark Stake
- Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Garrett Bates
- Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | | | - John R Meurer
- Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Bernard Black
- Northwestern Pritzker School of Law, Chicago, Illinois, USA.
- Kellogg School of Management, Chicago, Illinois, USA.
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3
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Boum Y, Matchim L, Guimsop DK, Buri BD, Bebell LM, Jaudel YSF, Njuwa FKG, Danirla DB, Youm E, Ntone R, Tchame CR, Tchiasso D, Essaka R, Eyong JB, Ngosso A, Nanda H, Fondze NR, Ndifon MN, Eteki L, Ghislain YFC, Messi BYE, Moustapha H, Hamdja M, Essomba RG, Mandeng N, Modeste TAK, Bisseck ACZK, Eyangoh SI, Njouom R, Okomo MC, Esso L, Emilienne E, Mballa GAE. High immunity and low mortality after Omicron and mass event in Cameroon despite low vaccination. J Public Health Afr 2024; 15:649. [PMID: 39649435 PMCID: PMC11622603 DOI: 10.4102/jphia.v15i1.649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 09/07/2024] [Indexed: 12/10/2024] Open
Abstract
Background Little is known about the evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity in African communities. Aim We evaluated changes in anti-SARS-CoV-2 antibodies, mortality and vaccination status in Cameroon between August 2021 and September 2022 to begin describing the evolution of the pandemic in Africa. Setting The study was conducted across Cameroon's 10 regional capitals, between 2021 and 2022 as the country hosted a mass gathering. Methods We conducted a cross-sectional population-based survey in 2022, including SARS-CoV-2 seroprevalence testing and retrospective mortality estimation using two-stage cluster sampling. We estimated and compared seroprevalence and crude mortality rates (CMR) to a survey conducted in 2021 using the same methodology. Results We performed serologic testing on 8400 individuals and collected mortality data from 22 314 individuals. Approximately 5% in each survey reported SARS-CoV-2-vaccination. Rapid diagnostic test-based seroprevalence increased from 11.2% (95% confidence interval [CI]: 10-12.5) to 59.8% (95% CI: 58.3-61.2) between 2021 and 2022, despite no increase in the proportion vaccinated. The CMR decreased from 0.17 to 0.06 deaths per 10 000 persons per day between 2021 and 2022. In 2022, no deaths were reportedly attributable to COVID-19 as compared to 17 deaths in 2021. Conclusion Over a 12-month period encompassing two waves of omicron variant SARS-CoV-2 and a mass gathering, SARS-CoV-2 seropositivity in Cameroon approached 60%, and deaths declined despite low vaccination coverage. Contribution This study challenges the assumption that high immunisation coverage is the sole determinant of epidemic control in the African context and encourages policymakers to increasingly rely on local research when designing response strategies for more effective outbreak management.
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Affiliation(s)
- Yap Boum
- Public Health Emergency Operation Center, Ministry of Public Health, Yaoundé, Cameroon
- Epicentre, Yaoundé, Cameroon
- Faculty of Biomedical Medicine and Science, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Dominique K Guimsop
- Department for the Control of Disease, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon
- Western Africa Regional Coordination Center, Africa Centers for Disease Control, Abuja, Nigeria
| | | | - Lisa M Bebell
- Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America
| | | | | | | | | | | | - Claudric Roosevelt Tchame
- Department for the Control of Disease, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nadia Mandeng
- Public Health Emergency Operation Center, Ministry of Public Health, Yaoundé, Cameroon
| | | | | | | | | | | | - Linda Esso
- Public Health Emergency Operation Center, Ministry of Public Health, Yaoundé, Cameroon
- Department for the Control of Disease, Epidemics and Pandemics, Yaoundé, Cameroon
| | - Epee Emilienne
- Public Health Emergency Operation Center, Ministry of Public Health, Yaoundé, Cameroon
- Department for the Control of Disease, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon
| | - Georges-Alain Etoundi Mballa
- Public Health Emergency Operation Center, Ministry of Public Health, Yaoundé, Cameroon
- Department for the Control of Disease, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon
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4
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Bratcher A, Kao SY, Chun K, Petropoulos CJ, Gundlapalli AV, Jones J, Clarke KEN. Quantitative SARS-CoV-2 Spike Receptor-Binding Domain and Neutralizing Antibody Titers in Previously Infected Persons, United States, January 2021-February 2022. Emerg Infect Dis 2024; 30:2352-2361. [PMID: 39447163 PMCID: PMC11521179 DOI: 10.3201/eid3011.240043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2024] Open
Abstract
We studied SARS-CoV-2 binding and neutralizing antibody titers among previously infected persons in the United States over time. We assayed SARS-CoV-2 spike protein receptor-binding domain and neutralizing antibody titers for a convenience sample of residual clinical serum specimens that had evidence of prior SARS-CoV-2 infection gathered during January 2021-February 2022. We correlated titers and examined them by age group (<18, 18-49, 50-64, and >65 years) across 4 different SARS-CoV-2 variant epochs. Among selected specimens, 30,967 had binding antibody titers and 744 had neutralizing titers available. Titers in specimens from children and adults correlated. In addition, mean binding antibody titers increased over time for all age groups, and mean neutralization titers increased over time for persons 16-49 and >65 years of age. Incorporating binding and neutralization antibody titers into infectious disease surveillance could provide a clearer picture of overall immunity and help target vaccination campaigns.
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5
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Nycz E, Deng Y, Van Dyke ME, Bratcher A, Shi J, Iachan R, Berney K, Jones JM, Clarke KEN. School mask policies and SARS-CoV-2 seroprevalence among school-age children-United States, September to December 2021. Microbiol Spectr 2024; 12:e0069124. [PMID: 39194255 PMCID: PMC11449229 DOI: 10.1128/spectrum.00691-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/09/2024] [Indexed: 08/29/2024] Open
Abstract
During September to December 2021, school mask policies to mitigate SARS-CoV-2 transmission varied throughout the US. We compared infection-induced seroprevalence estimates and estimated seroconversion among children residing in areas with and without school mask requirements. We estimated infection-induced seroprevalence among children in three age groups (5-17, 5-11, and 12-17 years) in areas with and without school district mask requirements for two time points: September 1-30, 2021 and December 15, 2021 to January 14, 2022. Robust Poisson regression models estimated population seroconversion over the semester among initially seronegative children. Permutation tests assessed for significant differences in the estimated population seroconversion due to incident infections by school district mask policy. Residing in an area with no school mask requirement was associated with higher infection-induced seroprevalence among children aged 5-17 years (adjusted prevalence ratio [aPR] = 1.18, 95% confidence interval [CI]: 1.10, 1.26), and those aged 5-11 years (aPR) = 1.21, 95% CI: 1.10, 1.32) and those aged 12-17 years (aPR = 1.16, 95% CI: 1.07, 1.26), compared with areas requiring masks in school. Estimated population seroconversion during the semester was also significantly higher among children in districts without mask policies than those with school mask requirements among all age groups (5-17 years: 23.7% vs 18.1%, P < 0.001; 5-11 years: 6.4% vs 4.5%, P = 0.002;12-17 years: 27.2% vs 21.0%, P < 0.001). During the U.S. Fall 2021 semester, areas with school mask requirements had lower infection-induced seroprevalence and an estimated lower proportion of seroconversion due to incident infection among school-aged children compared with areas without school mask requirements; causality cannot necessarily be inferred from these associations. IMPORTANCE During the U.S. Fall 2021 school semester, the estimated proportion of previously uninfected school-aged children who experienced a first infection with SARS-CoV-2 was lower in areas where public school district policies required masks for all staff and students compared with areas where the school districts had no mask requirements. Because children are more likely than adults to experience asymptomatic or mild SARS-CoV-2 infections, the presence of infection-induced antibodies is a more accurate measure of infection history than clinical testing. The proportion of children with these antibodies (i.e., seroprevalence) can improve our understanding of SARS-CoV-2 by detecting more infections and eliminating potential bias due to local testing and reporting practices. Enhanced robustness of surveillance for respiratory infections in children, including records of mitigation policies in communities and schools, as well as seroprevalence data, would establish a better evidence base for policy decisions and response measures during future respiratory outbreaks.
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Affiliation(s)
- Elise Nycz
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yangyang Deng
- ICF, Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA
| | - Miriam E Van Dyke
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Anna Bratcher
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jianrong Shi
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ronaldo Iachan
- ICF, Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA
| | - Kevin Berney
- Geospatial Research, Analysis, and Services Program (GRASP), Agency for Toxic Substances and Disease Registry, Atlanta, Georgia, USA
| | - Jefferson M Jones
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Kristie E N Clarke
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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6
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Lewnard JA, Mahale P, Malden D, Hong V, Ackerson BK, Lewin BJ, Link-Gelles R, Feldstein LR, Lipsitch M, Tartof SY. Immune escape and attenuated severity associated with the SARS-CoV-2 BA.2.86/JN.1 lineage. Nat Commun 2024; 15:8550. [PMID: 39362845 PMCID: PMC11450198 DOI: 10.1038/s41467-024-52668-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 09/18/2024] [Indexed: 10/05/2024] Open
Abstract
The SARS-CoV-2 BA.2.86 lineage, and its sublineage JN.1 in particular, achieved widespread transmission in the US during winter 2023-24. However, this surge in infections was not accompanied by COVID-19 hospitalizations and mortality commensurate with prior waves. To understand shifts in COVID-19 epidemiology associated with JN.1 emergence, we compared characteristics and clinical outcomes of time-matched cases infected with BA.2.86 lineages (predominantly representing JN.1) versus co-circulating XBB-derived lineages in December, 2023 and January, 2024. Cases infected with BA.2.86 lineages received greater numbers of COVID-19 vaccine doses, including XBB.1.5-targeted boosters, in comparison to cases infected with XBB-derived lineages. Additionally, cases infected with BA.2.86 lineages experienced greater numbers of documented prior SARS-CoV-2 infections. Cases infected with BA.2.86 lineages also experienced lower risk of progression to severe clinical outcomes requiring emergency department consultations or hospital admission. Sensitivity analyses suggested under-ascertainment of prior infections could not explain this apparent attenuation of severity. Our findings implicate escape from immunity acquired from prior vaccination or infection in the emergence of the JN.1 lineage and suggest infections with this lineage are less likely to experience clinically-severe disease. Monitoring of immune escape and clinical severity in emerging SARS-CoV-2 variants remains a priority to inform responses.
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Affiliation(s)
- Joseph A Lewnard
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
| | - Parag Mahale
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Debbie Malden
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Vennis Hong
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Bradley K Ackerson
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Bruno J Lewin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Ruth Link-Gelles
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control & Prevention, Atlanta, GA, USA
| | - Leora R Feldstein
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marc Lipsitch
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara Y Tartof
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
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7
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Sullivan DJ. Convalescent Plasma and Other Antibody Therapies for Infectious Diseases-Lessons Learned from COVID-19 and Future Prospects. Curr Top Microbiol Immunol 2024. [PMID: 39117846 DOI: 10.1007/82_2024_273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Antiviral passive antibody therapy includes convalescent plasma, hyperimmune globulin, and monoclonal antibodies. Passive antibodies have proven effective in reducing morbidity and mortality for SARS-CoV-2 and other infectious diseases when given early in the disease course with sufficiently high specific total and neutralizing antibody levels. Convalescent plasma can be delivered to patients before vaccination implementation or novel drug production. Carefully designed and executed randomized controlled trials near the pandemic outset are important for regulatory bodies, healthcare workers, guideline committees, the public, and the government. Unfortunately, many otherwise well-designed antibody-based clinical trials in COVID-19 were futile, either because they intervened too late in the disease or provided plasma with insufficient antibodies. The need for early treatment mandates outpatient clinical trials in parallel with inpatient trials. Early outpatient COVID-19 convalescent plasma transfusion with high antibody content within 9 days of symptom onset has proven effective in blunting disease progression and reducing hospitalization, thus reducing hospital overcrowding in a pandemic. Convalescent plasma offers the opportunity for hope by enabling community participation in outpatient curative therapy while monoclonal therapies, vaccines, and drugs are being developed. Maintaining the appropriate infrastructure for antibody infusion in both outpatient and inpatient facilities is critical for future pandemic readiness.
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Affiliation(s)
- David J Sullivan
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St Rm W4606, Baltimore, MD, 21205, USA.
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8
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Lipsitch M, Bassett MT, Brownstein JS, Elliott P, Eyre D, Grabowski MK, Hay JA, Johansson MA, Kissler SM, Larremore DB, Layden JE, Lessler J, Lynfield R, MacCannell D, Madoff LC, Metcalf CJE, Meyers LA, Ofori SK, Quinn C, Bento AI, Reich NG, Riley S, Rosenfeld R, Samore MH, Sampath R, Slayton RB, Swerdlow DL, Truelove S, Varma JK, Grad YH. Infectious disease surveillance needs for the United States: lessons from Covid-19. Front Public Health 2024; 12:1408193. [PMID: 39076420 PMCID: PMC11285106 DOI: 10.3389/fpubh.2024.1408193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 06/18/2024] [Indexed: 07/31/2024] Open
Abstract
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to learn lessons about the value of specific data types. In this report, we define the range of decisions for which surveillance data are required, the data elements needed to inform these decisions and to calibrate inputs and outputs of transmission-dynamic models, and the types of data needed to inform decisions by state, territorial, local, and tribal health authorities. We define actions needed to ensure that such data will be available and consider the contribution of such efforts to improving health equity.
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Affiliation(s)
- Marc Lipsitch
- Center for Forecasting and Outbreak Analytics, US Centers for Disease Control and Prevention, Atlanta, GA, United States
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Mary T. Bassett
- François-Xavier Bagnoud Center for Health and Human Rights, Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - John S. Brownstein
- Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Paul Elliott
- Department of Epidemiology and Public Health Medicine, Imperial College London, London, United Kingdom
| | - David Eyre
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - M. Kate Grabowski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - James A. Hay
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Michael A. Johansson
- Division of Vector-Borne Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Stephen M. Kissler
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
| | - Daniel B. Larremore
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, United States
| | - Jennifer E. Layden
- Office of Public Health Data, Surveillance, and Technology, US Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Justin Lessler
- Department of Epidemiology, UNC Gillings School of Public Health, Chapel Hill, NC, United States
| | - Ruth Lynfield
- Minnesota Department of Health, Minneapolis, MN, United States
| | - Duncan MacCannell
- US Centers for Disease Control and Prevention, Office of Advanced Molecular Detection, Atlanta, GA, United States
| | | | - C. Jessica E. Metcalf
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States
| | - Lauren A. Meyers
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States
| | - Sylvia K. Ofori
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Celia Quinn
- Division of Disease Control, New York City Department of Health and Mental Hygiene, New York City, NY, United States
| | - Ana I. Bento
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - Nicholas G. Reich
- Departments of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States
| | - Steven Riley
- United Kingdom Health Security Agency, London, United Kingdom
| | - Roni Rosenfeld
- Departments of Computer Science and Computational Biology, Carnegie Melon University, Pittsburgh, PA, United States
| | - Matthew H. Samore
- Division of Epidemiology, Department of Medicine, University of Utah, Salt Lake City, UT, United States
| | | | - Rachel B. Slayton
- Division of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - David L. Swerdlow
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Shaun Truelove
- Department of Epidemiology, UNC Gillings School of Public Health, Chapel Hill, NC, United States
| | - Jay K. Varma
- SIGA Technologies, New York City, NY, United States
| | - Yonatan H. Grad
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States
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9
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Sandford R, Yadav R, Noble E, Sumner K, Joshi D, Tartof S, Wernli K, Martin E, Gaglani M, Zimmerman R, Talbot H, Grijalva C, Belongia E, Carlson C, Coughlin M, Flannery B, Pearce B, Rogier E. Antibody Response to Symptomatic Infection With SARS-CoV-2 Omicron Variant Viruses, December 2021-June 2022. Influenza Other Respir Viruses 2024; 18:e13339. [PMID: 39012045 PMCID: PMC11250392 DOI: 10.1111/irv.13339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/09/2024] [Accepted: 05/24/2024] [Indexed: 07/17/2024] Open
Abstract
We describe humoral immune responses in 105 ambulatory patients with laboratory-confirmed SARS-CoV-2 Omicron variant infection. In dried blood spot (DBS) collected within 5 days of illness onset and during convalescence, we measured binding antibody (bAb) against ancestral spike protein receptor binding domain (RBD) and nucleocapsid (N) protein using a commercial multiplex bead assay. Geometric mean bAb concentrations against RBD increased by a factor of 2.5 from 1258 to 3189 units/mL and by a factor of 47 against N protein from 5.5 to 259 units/mL between acute illness and convalescence; lower concentrations were associated with greater geometric mean ratios. Paired DBS specimens may be used to evaluate humoral response to SARS-CoV-2 infection.
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Affiliation(s)
- Ryan Sandford
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
- Oak Ridge Institute for Science and EducationOak RidgeTennesseeUSA
- Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Ruchi Yadav
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Emma K. Noble
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
- Oak Ridge Institute for Science and EducationOak RidgeTennesseeUSA
| | - Kelsey Sumner
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Devyani Joshi
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Sara Y. Tartof
- Department of Research & EvaluationKaiser Permanente Southern CaliforniaYorba LindaCaliforniaUSA
- Department of Health Systems ScienceKaiser Permanente Bernard J. Tyson School of MedicinePasadenaCaliforniaUSA
| | - Karen J. Wernli
- Kaiser Permanente Washington Health Research InstituteSeattleWashingtonUSA
| | - Emily T. Martin
- University of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Manjusha Gaglani
- Baylor Scott & White HealthTempleTexasUSA
- Texas A&M University College of MedicineTempleTexasUSA
| | | | | | | | | | | | | | | | - Brad Pearce
- Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Eric Rogier
- Centers for Disease Control and PreventionAtlantaGeorgiaUSA
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10
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Benoit TJ, Kim Y, Deng Y, Li Z, Harding L, Wiegand R, Deng X, Jones JM, Ronaldo I, Clarke KEN. Association Between Social Vulnerability and SARS-CoV-2 Seroprevalence in Specimens Collected From Commercial Laboratories, United States, September 2021-February 2022. Public Health Rep 2024; 139:501-511. [PMID: 38357883 DOI: 10.1177/00333549231223140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Abstract
OBJECTIVE We conducted a national US study of SARS-CoV-2 seroprevalence by Social Vulnerability Index (SVI) that included pediatric data and compared the Delta and Omicron periods during the COVID-19 pandemic. The objective of the current study was to assess the association between SVI and seroprevalence of infection-induced SARS-CoV-2 antibodies by period (Delta vs Omicron) and age group. METHODS We used results of infection-induced SARS-CoV-2 antibody assays of clinical sera specimens (N = 406 469) from 50 US states from September 2021 through February 2022 to estimate seroprevalence overall and by county SVI tercile. Bivariate analyses and multilevel logistic regression models assessed the association of seropositivity with SVI and its themes by age group (0-17, ≥18 y) and period (Delta: September-November 2021; Omicron: December 2021-February 2022). RESULTS Aggregate infection-induced SARS-CoV-2 antibody seroprevalence increased at all 3 SVI levels; it ranged from 25.8% to 33.5% in September 2021 and from 53.1% to 63.5% in February 2022. Of the 4 SVI themes, socioeconomic status had the strongest association with seroprevalence. During the Delta period, we found significantly more infections per reported case among people living in a county with high SVI (odds ratio [OR] = 2.76; 95% CI, 2.31-3.21) than in a county with low SVI (OR = 1.65; 95% CI, 1.33-1.97); we found no significant difference during the Omicron period. Otherwise, findings were consistent across subanalyses by age group and period. CONCLUSIONS Among both children and adults, and during both the Delta and Omicron periods, counties with high SVI had significantly higher SARS-CoV-2 antibody seroprevalence than counties with low SVI did. These disparities reinforce SVI's value in identifying communities that need tailored prevention efforts during public health emergencies and resources to recover from their effects.
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Affiliation(s)
- Tina J Benoit
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Zheng Li
- Office of Capacity Development and Applied Prevention Science, Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA
| | | | - Ryan Wiegand
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Jefferson M Jones
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Kristie E N Clarke
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA
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11
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Kinoshita R, Miyamoto S, Sakuraba S, Sugihara J, Suzuki M, Suzuki T, Yoneoka D. Infection- and Vaccine-Induced SARS-CoV-2 Seroprevalence, Japan, 2023. Emerg Infect Dis 2024; 30:1267-1270. [PMID: 38782366 PMCID: PMC11138984 DOI: 10.3201/eid3006.231454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024] Open
Abstract
We assessed SARS-CoV-2 seroprevalence in Japan during July-August 2023, with a focus on 2 key age groups, 0-15 and >80 years. We estimated overall seroprevalence of 45.3% for nucleocapsid antibodies and 95.4% for spike antibodies and found notable maternally derived spike antibodies in infants 6-11 months of age (90.0%).
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Affiliation(s)
| | | | - Shoko Sakuraba
- National Institute of Infectious Diseases, Tokyo, Japan (R. Kinoshita, S. Miyamoto, M. Suzuki, T. Suzuki, D. Yoneoka)
- Ministry of Health, Labour, and Welfare, Tokyo (S. Sakuraba, J. Sugihara)
| | - Jun Sugihara
- National Institute of Infectious Diseases, Tokyo, Japan (R. Kinoshita, S. Miyamoto, M. Suzuki, T. Suzuki, D. Yoneoka)
- Ministry of Health, Labour, and Welfare, Tokyo (S. Sakuraba, J. Sugihara)
| | - Motoi Suzuki
- National Institute of Infectious Diseases, Tokyo, Japan (R. Kinoshita, S. Miyamoto, M. Suzuki, T. Suzuki, D. Yoneoka)
- Ministry of Health, Labour, and Welfare, Tokyo (S. Sakuraba, J. Sugihara)
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12
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Tenthani L, Seffren V, Kabaghe AN, Ogollah F, Soko M, Yadav R, Kayigamba F, Payne D, Wadonda-Kabondo N, Kampira E, Volkmann T, Sugandhi NS, Seydel K, Rogier E, Thwing JI, Gutman JR. SARS-CoV-2 Seroprevalence and Vaccine Uptake among Pregnant Women at First Antenatal Care Visits in Malawi. Am J Trop Med Hyg 2024; 110:989-993. [PMID: 38531097 PMCID: PMC11066362 DOI: 10.4269/ajtmh.23-0726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/01/2024] [Indexed: 03/28/2024] Open
Abstract
Many SARS-CoV-2 infections are asymptomatic, thus reported cases underestimate actual cases. To improve estimates, we conducted surveillance for SARS-CoV-2 seroprevalence among pregnant women attending their first antenatal care visit (ANC1) from June 2021 through May 2022. We administered a questionnaire to collect demographic, risk factors, and COVID-19 vaccine status information and tested dried blood spots for SARS-CoV-2 antibodies. Although <1% of ANC1 participants reported having had COVID-19, monthly SARS-CoV-2 seroprevalence increased from 15.4% (95% CI: 10.5-21.5) in June 2021 to 65.5% (95% CI: 55.5-73.7) in May 2022. Although COVID-19 vaccination was available in March 2021, uptake remained low, reaching a maximum of 9.5% (95% CI: 5.7-14.8) in May 2022. Results of ANC1 serosurveillance provided prevalence estimates helpful in understanding this population case burden that was available through self-report and national case reports. To improve vaccine uptake, efforts to address fears and misconceptions regarding COVID-19 vaccines are needed.
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Affiliation(s)
- Lyson Tenthani
- ICAP at Columbia University, International Programs – Malawi, Lilongwe, Malawi
| | - Victoria Seffren
- Malaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Francis Ogollah
- ICAP at Columbia University, International Programs – Malawi, Lilongwe, Malawi
| | - Monica Soko
- Blantyre Malaria Project, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Ruchi Yadav
- Malaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Felix Kayigamba
- ICAP at Columbia University, International Programs – Malawi, Lilongwe, Malawi
| | - Danielle Payne
- U.S. Centers for Disease Control and Prevention, Lilongwe, Malawi
| | | | | | - Tyson Volkmann
- U.S. President’s Malaria Initiative, U.S. Centers for Disease Control and Prevention, Lilongwe, Malawi
| | | | - Karl Seydel
- Blantyre Malaria Project, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Eric Rogier
- Malaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Julie I. Thwing
- Malaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Julie R. Gutman
- Malaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
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13
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Shah MM, Spencer BR, James-Gist J, Haynes JM, Feldstein LR, Stramer SL, Jones JM, Saydah SH. Long-Term Symptoms Associated With SARS-CoV-2 Infection Among Blood Donors. JAMA Netw Open 2024; 7:e245611. [PMID: 38587842 PMCID: PMC11002700 DOI: 10.1001/jamanetworkopen.2024.5611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/12/2024] [Indexed: 04/09/2024] Open
Abstract
Importance Long-term symptoms, lasting more than 4 consecutive weeks after acute COVID-19 disease, are an important consequence of SARS-CoV-2 infection. Many prior studies have lacked a non-SARS-CoV-2-infected control population to distinguish background prevalence of symptoms from the direct impact of COVID-19 disease. Objective To examine the prevalence of long-term physical and mental health symptoms associated with SARS-CoV-2 infection in a large population of blood donors based on self-report and serologic test results. Design, Setting, and Participants This cross-sectional study included American Red Cross blood donors (aged ≥18 years) who were surveyed between February 22 and April 21, 2022, about new long-term symptoms arising after March 2020 and their SARS-CoV-2 infection status. All participants underwent at least 1 serologic test for antinucleocapsid antibodies between June 15, 2020, and December 31, 2021. Exposures SARS-CoV-2 infection as defined by a self-reported, confirmed acute infection or antinucleocapsid antibody positivity. Main Outcomes and Measures New long-term symptoms since March 2020, including 5 symptom categories (neurologic, gastrointestinal, respiratory and cardiac, mental health, and other). Results Among 818 361 individuals who received the survey, 272 965 (33.4%) responded, with 238 828 meeting the inclusion criteria (138 576 [58.0%] female; median [IQR] age, 59.0 [47.0-67.0] years). Of the 83 015 individuals with a history of SARS-CoV-2 infection, 43.3% reported new long-term symptoms compared with 22.1% of those without a history of SARS-CoV-2 infection. After controlling for age, sex, race and ethnicity, and number of underlying conditions, those with a history of SARS-CoV-2 infection had an increased odds of new long-term symptoms compared with those without (adjusted odds ratio [AOR], 2.55; 95% CI, 2.51-2.61). Female sex and a history of chronic conditions were associated with new long-term symptoms. Long-term symptoms in the other category (AOR, 4.14; 95% CI, 4.03-4.25), which included changes in taste or smell, and the respiratory and cardiac symptom categories (AOR, 3.21; 95% CI, 3.12-3.31) were most associated with prior SARS-CoV-2 infection. Mental health long-term symptoms were also associated with prior SARS-CoV-2 infection (AOR, 1.05; 95%, CI, 1.02-1.08). Conclusions and Relevance This study's findings suggest that long-term symptoms lasting more than 4 weeks are common in the adult population, but there is a significantly higher prevalence among those with SARS-CoV-2 infection. Continued efforts to define and track long-term sequelae of SARS-CoV-2 using a control group without infection and serologic information to include those who had asymptomatic or unidentified infections are needed.
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Affiliation(s)
- Melisa M. Shah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Jade James-Gist
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Leora R. Feldstein
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Jefferson M. Jones
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sharon H. Saydah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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14
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Miyamoto S, Suzuki T. Infection-mediated immune response in SARS-CoV-2 breakthrough infection and implications for next-generation COVID-19 vaccine development. Vaccine 2024; 42:1401-1406. [PMID: 38310015 DOI: 10.1016/j.vaccine.2024.01.088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
Post-vaccination infections, termed breakthrough infections, occur after the virus infection overcomes the vaccine-induced immune barrier. During the early stages of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron wave, high serum-neutralizing antibody titers against the Omicron variant were detected in individuals with breakthrough infections as well as those who received a third vaccine dose (i.e., booster recipients). Additionally, these cases indicated that Omicron antigens triggered an immune response that differed from that triggered by the vaccine strain before analysis of the effectiveness of new vaccines updated for the Omicron variants. Moreover, the magnitude and breadth of neutralizing antibody titers induced by breakthrough infections are correlated with the upper respiratory viral load at diagnosis and the duration between vaccination and infection, respectively. Unlike booster vaccine recipients, patients with breakthrough infections have varying durations between vaccination and infection. Accordingly, optimal booster vaccination intervals may be estimated based on the cross-neutralizing antibody response induced over time. Examination of breakthrough infection cases has provided valuable insights that could not be yielded by only examining vaccinated individuals alone. These insights include estimates of vaccine-induced immunity against SARS-CoV-2 variants and the various factors related to the clinical status. This review describes the immune response elicited by breakthrough infections; specifically, it discusses factors that affect the magnitude and breadth of serum antibody titers as well as the appropriate booster vaccination strategy. This review provides key aspects that could contribute to developing next-generation COVID-19 vaccines through breakthrough infection cases.
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Affiliation(s)
- Sho Miyamoto
- Department of Pathology, National Institute of Infectious Diseases Tokyo 162-8640, Japan.
| | - Tadaki Suzuki
- Department of Pathology, National Institute of Infectious Diseases Tokyo 162-8640, Japan
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15
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Chervo TC, Elkin EP, Nugent JR, Valice E, Amsden LB, Ergas IJ, Munneke JR, Flores M, Saelee GN, Hsiao CA, Schapiro JM, Quesenberry CP, Corley DA, Habel LA, Kushi LH, Skarbinski J. Relative contribution of COVID-19 vaccination and SARS-CoV-2 infection to population-level seroprevalence of SARS-CoV-2 spike antibodies in a large integrated health system. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.31.24301674. [PMID: 38352327 PMCID: PMC10863028 DOI: 10.1101/2024.01.31.24301674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Understanding the relative contributions of SARS-CoV-2 infection-induced and vaccine- induced seroprevalence is key to measuring overall population-level seroprevalence and help guide policy decisions. Methods Using a series of six population-based cross-sectional surveys conducted among persons aged ≥7 years in a large health system with over 4.5 million members between May 2021 and April 2022, we combined data from the electronic health record (EHR), an electronic survey and SARS-CoV-2 spike antibody binding assay, to assess the relative contributions of infection and vaccination to population- level SARS-CoV-2 seroprevalence. EHR and survey data were incorporated to determine spike antibody positivity due to SARS-CoV-2 infection and COVID-19 vaccination. We used sampling and non-response weighting to create population-level estimates. Results We enrolled 4,319 persons over six recruitment waves. SARS-CoV-2 spike antibody seroprevalence increased from 83.3% (CI 77.0-88.9) in May 2021 to 93.5% (CI 89.5-97.5) in April 2022. By April 2022, 68.5% (CI 61.9-74.3) of the population was seropositive from COVID-19 vaccination only, 13.9% (10.7-17.9) from COVID-19 vaccination and prior diagnosed SARS-CoV-2 infection, 8.2% (CI 4.5- 14.5) from prior diagnosed SARS-CoV-2 infection only and 2.9% (CI 1.1-7.6) from prior undiagnosed SARS-CoV-2 infection only. We found high agreement (≥97%) between EHR and survey data for ascertaining COVID-19 vaccination and SARS-CoV-2 infection status. Conclusions By April 2022, 93.5% of persons had detectable SARS-CoV-2 spike antibody, predominantly from COVID-19 vaccination. In this highly vaccinated population and over 18 months into the pandemic, SARS-CoV-2 infection without COVID-19 vaccination was a small contributor to overall population-level seroprevalence. Article summary By April 2022, >93% of people had antibodies to SARS-CoV-2 with COVID-19 vaccination as the main driver of overall population-level seroprevalence in our healthcare system. SARS-CoV-2 infection without vaccination made a small contribution to population-level seroprevalence in our healthcare system.
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16
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Yamayoshi S, Nagai E, Mitamura K, Hagihara M, Kobayashi R, Takahashi S, Shibata A, Uwamino Y, Hasegawa N, Iqbal A, Kamimaki I, Iwatsuki-Horimoto K, Nagamura-Inoue T, Kawaoka Y. Seroprevalence of severe acute respiratory syndrome coronavirus 2 N antibodies between December 2021 and march 2023 in Japan. Epidemiol Infect 2024; 152:e24. [PMID: 38258464 PMCID: PMC10894890 DOI: 10.1017/s0950268824000141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 01/01/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in 2019 in China and rapidly spread worldwide, leading to a pandemic. The threat of SARS-CoV-2 is subsiding as most people have acquired sufficient antibodies through vaccination and/or infection to prevent severe COVID-19. After the emergence of the omicron variants, the seroprevalence of antibodies against the N protein elicited by SARS-CoV-2 infection ranged from 44.4% to 80.2% in countries other than Japan. Here, we assessed the seroprevalence in Japan before and after the appearance of omicron variants. Serosurveillance of antibodies against N was conducted between December 2021 and March 2023 in Japan. In total, 7604 and 3354 residual serum or plasma samples were collected in the Tokyo metropolitan area and Sapporo, respectively. We found that the seroprevalence in representative regions of Japan increased approximately 3% to 23% after the emergence of the omicron variants. We also found higher seroprevalence among the young compared with the elderly. Our findings indicate that unlike other countries, most of the Japanese population has not been infected, raising the possibility of future SARS-CoV-2 epidemics in Japan.
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Affiliation(s)
- Seiya Yamayoshi
- Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Research Center for Global Viral Infections, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Etsuko Nagai
- Department of Laboratory Medicine, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Keiko Mitamura
- Division of Infection Control, Eiju General Hospital, Tokyo, Japan
| | - Masao Hagihara
- Department of Hematology, Eiju General Hospital, Tokyo, Japan
| | - Ryo Kobayashi
- Division of Laboratory Medicine, Sapporo Medical University Hospital, Sapporo, Japan
| | - Satoshi Takahashi
- Department of Infection Control and Laboratory Medicine, Sapporo Medical University, Sapporo, Japan
| | - Akimichi Shibata
- Department of Pediatrics, Japanese Red Cross Ashikaga Hospital, Tochigi, Japan
- Department of Pediatrics, School of Medicine, Keio University, Tokyo, Japan
| | - Yoshifumi Uwamino
- Department of Laboratory Medicine, School of Medicine, Keio University, Tokyo, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, School of Medicine, Keio University, Tokyo, Japan
| | - Asef Iqbal
- Department of Pediatrics, NHO Saitama Hospital, Saitama, Japan
| | - Isamu Kamimaki
- Department of Pediatrics, NHO Saitama Hospital, Saitama, Japan
| | | | - Tokiko Nagamura-Inoue
- Department of Laboratory Medicine, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoshihiro Kawaoka
- Division of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Research Center for Global Viral Infections, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center, Tokyo, Japan
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin–Madison, Madison, WI, USA
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17
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Nash D, Srivastava A, Shen Y, Penrose K, Kulkarni SG, Zimba R, You W, Berry A, Mirzayi C, Maroko A, Parcesepe AM, Grov C, Robertson MM. Seroincidence of SARS-CoV-2 infection prior to and during the rollout of vaccines in a community-based prospective cohort of U.S. adults. Sci Rep 2024; 14:644. [PMID: 38182731 PMCID: PMC10770061 DOI: 10.1038/s41598-023-51029-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024] Open
Abstract
This study used repeat serologic testing to estimate infection rates and risk factors in two overlapping cohorts of SARS-CoV-2 N protein seronegative U.S. adults. One mostly unvaccinated sub-cohort was tracked from April 2020 to March 2021 (pre-vaccine/wild-type era, n = 3421), and the other, mostly vaccinated cohort, from March 2021 to June 2022 (vaccine/variant era, n = 2735). Vaccine uptake was 0.53% and 91.3% in the pre-vaccine and vaccine/variant cohorts, respectively. Corresponding seroconversion rates were 9.6 and 25.7 per 100 person-years. In both cohorts, sociodemographic and epidemiologic risk factors for infection were similar, though new risk factors emerged in the vaccine/variant era, such as having a child in the household. Despite higher incidence rates in the vaccine/variant cohort, vaccine boosters, masking, and social distancing were associated with substantially reduced infection risk, even through major variant surges.
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Affiliation(s)
- Denis Nash
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA.
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA.
- CUNY Graduate School of Public Health and Health Policy, 55 W. 125th St., 6th Floor, New York, NY, 10027, USA.
| | - Avantika Srivastava
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - Yanhan Shen
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - Kate Penrose
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
| | - Sarah G Kulkarni
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
| | - Rebecca Zimba
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - William You
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
| | - Amanda Berry
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
| | - Chloe Mirzayi
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - Andrew Maroko
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - Angela M Parcesepe
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Maternal and Child Health, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christian Grov
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
- Department of Community Health and Social Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY, USA
| | - McKaylee M Robertson
- Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, NY, USA
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18
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Fantin R, Agarwala N, Aparicio A, Pfeiffer R, Waterboer T, Abdelnour A, Butt J, Flock J, Remans K, Prevots DR, Porras C, Hildesheim A, Loria V, Gail MH, Herrero R. Estimating the cumulative incidence of SARS-CoV-2 infection in Costa Rica: modelling seroprevalence data in a population-based cohort. LANCET REGIONAL HEALTH. AMERICAS 2023; 27:100616. [PMID: 37868648 PMCID: PMC10589740 DOI: 10.1016/j.lana.2023.100616] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/24/2023]
Abstract
Background The true incidence of SARS-CoV-2 infection in Costa Rica was likely much higher than officially reported, because infection is often associated with mild symptoms and testing was limited by official guidelines and socio-economic factors. Methods Using serology to define natural infection, we developed a statistical model to estimate the true cumulative incidence of SARS-CoV-2 in Costa Rica early in the pandemic. We estimated seroprevalence from 2223 blood samples collected from November 2020 to October 2021 from 1976 population-based controls from the RESPIRA study. Samples were tested for antibodies against SARS-CoV-2 nucleocapsid and the receptor-binding-domain of the spike proteins. Using a generalized linear model, we estimated the ratio of true infections to officially reported cases. Applying these ratios to officially reported totals by age, sex, and geographic area, we estimated the true number of infections in the study area, where 70% of Costa Ricans reside. We adjusted the seroprevalence estimates for antibody decay over time, estimated from 1562 blood samples from 996 PCR-confirmed COVID-19 cases. Findings The estimated total proportion infected (ETPI) was 4.0 times higher than the officially reported total proportion infected (OTPI). By December 16th, 2021, the ETPI was 47% [42-52] while the OTPI was 12%. In children and adolescents, the ETPI was 11.0 times higher than the OTPI. Interpretation Our findings suggest that nearly half the population had been infected by the end of 2021. By the end of 2022, it is likely that a large majority of the population had been infected. Funding This work was sponsored and funded by the National Institute of Allergy and Infectious Diseases through the National Cancer Institute, the Science, Innovation, Technology and Telecommunications Ministry of Costa Rica, and Costa Rican Biomedical Research Agency-Fundacion INCIENSA (grant N/A).
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Affiliation(s)
- Romain Fantin
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica
| | - Neha Agarwala
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Amada Aparicio
- Caja Costarricense de Seguro Social, San José, Costa Rica
| | - Ruth Pfeiffer
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Tim Waterboer
- Division of Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Julia Butt
- Division of Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Julia Flock
- European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Kim Remans
- European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - D. Rebecca Prevots
- Epidemiology and Population Studies Unit, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Rockville, MD, USA
| | - Carolina Porras
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica
| | - Allan Hildesheim
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica
| | - Viviana Loria
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica
| | - Mitchell H. Gail
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Rolando Herrero
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica
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19
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Hergenroeder GE, Faino AV, Cogen JD, Genatossio A, McNamara S, Pascual M, Hernandez RE. Seroprevalence and clinical characteristics of SARS-CoV-2 infection in children with cystic fibrosis. Pediatr Pulmonol 2023; 58:2478-2486. [PMID: 37314149 PMCID: PMC11548890 DOI: 10.1002/ppul.26528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/21/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND People with cystic fibrosis (PwCF) have chronic lung disease and may be at increased risk of coronavirus disease 2019 (COVID-19)-related morbidity and mortality. This study aimed to determine seroprevalence and clinical characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children with cystic fibrosis (CF), and to assess antibody responses following SARS-CoV-2 infection or vaccination. METHODS Children and adolescents with CF followed at Seattle Children's Hospital were enrolled between July 20, 2020 and February 28, 2021. SARS-CoV-2 serostatus was determined on enrollment at 6 and 11 months (±2 months) for nucleocapsid and spike IgG. Participants completed intake and weekly surveys inquiring about SARS-CoV-2 exposures, viral/respiratory illnesses, and symptoms. RESULTS Of 125 PwCF enrolled, 14 (11%) had positive SARS-CoV-2 antibodies consistent with recent or past infection. Seropositive participants were more likely to identify as Hispanic (29% vs. 8%, p = 0.04) and have pulmonary exacerbations requiring oral antibiotics in the year prior (71% vs. 41%, p = 0.04). Five seropositive individuals (35.7%) were asymptomatic, while six (42.9%) reported mild symptoms, primarily cough and nasal congestion. Antispike protein IgG levels were approximately 10-fold higher in participants following vaccination compared with participants who had natural infection alone (p < 0.0001) and resembled levels previously reported in the general population. CONCLUSIONS A majority of PwCF have mild or no symptoms of SARS-CoV-2 making it difficult to distinguish from baseline respiratory symptoms. Hispanic PwCF may be disproportionately impacted, consistent with racial and ethnic COVID-19 disparities among the general US population. Vaccination in PwCF generated antibody responses similar to those previously reported in the general population.
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Affiliation(s)
- Georgene E. Hergenroeder
- Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Anna V. Faino
- Core for Biostatistics, Epidemiology, and Analytics in Research, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Jonathan D. Cogen
- Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
- Center for Clinical and Translational Research, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Alan Genatossio
- Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
| | - Sharon McNamara
- Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
| | - Michael Pascual
- Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
| | - Rafael E. Hernandez
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
- Division of Infectious Diseases, Seattle Children’s Hospital, Seattle, Washington, USA
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute, Seattle, Washington, USA
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20
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Patel EU, Mehta SH, Genberg BL, Baker OR, Schluth CG, Astemborski J, Fernandez RE, Quinn TC, Kirk GD, Laeyendecker O. Prevalence and correlates of SARS-CoV-2 seropositivity among people who inject drugs in Baltimore, Maryland. DRUG AND ALCOHOL DEPENDENCE REPORTS 2023; 8:100184. [PMID: 37637232 PMCID: PMC10450408 DOI: 10.1016/j.dadr.2023.100184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/29/2023]
Abstract
Background SARS-CoV-2 serosurveys can help characterize disparities in SARS-CoV-2 infection and identify gaps in population immunity. Data on SARS-CoV-2 seroprevalence among people who inject drugs (PWID) are limited. Methods We conducted a cross-sectional study between December 2020 and July 2022 among 561 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study-a community-based cohort of current and former PWID in Baltimore, Maryland. Serum samples were assayed for infection-induced anti-nucleocapsid (anti-N) and infection and/or vaccination-induced anti-spike-1 (anti-S) SARS-CoV-2 IgG. We estimated adjusted prevalence ratios (aPR) via modified Poisson regression models. Results The median age was 59 years, 35% were female, 84% were non-Hispanic Black, and 16% reported recent injection drug use. Anti-N antibody prevalence was 26% and anti-S antibody prevalence was 63%. Anti-N and anti-S antibody prevalence increased over time. Being employed (aPR=1.53 [95%CI=1.11-2.11]) was associated with higher anti-N prevalence, while a cancer history (aPR=0.40 [95%CI=0.17-0.90]) was associated with lower anti-N prevalence. HIV infection was associated with higher anti-S prevalence (aPR=1.13 [95%CI=1.02-1.27]), while younger age and experiencing homelessness (aPR=0.78 [95%CI=0.60-0.99]) were factors associated with lower anti-S prevalence. Substance use-related behaviors were not significantly associated with anti-N or anti-S prevalence. Conclusions SARS-CoV-2 seroprevalence increased over time among current and former PWID, suggesting cumulative increases in the incidence of SARS-CoV-2 infection and vaccination; however, there were disparities in infection-induced seroprevalence and infection and/or vaccine-induced seroprevalence within this study sample. Dedicated prevention and vaccination programs are needed to prevent disparities in infection and gaps in population immunity among PWID during emerging epidemics.
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Affiliation(s)
- Eshan U. Patel
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Shruti H. Mehta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Becky L. Genberg
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Owen R. Baker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Catherine G. Schluth
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Jacquie Astemborski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Reinaldo E. Fernandez
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas C. Quinn
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
| | - Gregory D. Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Baltimore, MD, USA
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21
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McCarthy MW, Lindsell CJ, Naggie S. Fluvoxamine vs Placebo and Time to Recovery in Outpatients With Mild to Moderate COVID-19-Reply. JAMA 2023; 329:1702-1703. [PMID: 37191706 DOI: 10.1001/jama.2023.5064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Affiliation(s)
| | - Christopher J Lindsell
- Vanderbilt University Medical Center, Nashville, Tennessee
- Now with the Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Susanna Naggie
- Duke Clinical Research Institute, Durham, North Carolina
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22
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Socan M, Prosenc K, Mrzel M. Seroprevalence of Anti-SARS-CoV-2 Antibodies Following the Omicron BA.1 Wave. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3665. [PMID: 36834360 PMCID: PMC9959557 DOI: 10.3390/ijerph20043665] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/10/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
We conducted a seroprevalence study using convenient residual sera samples from the Slovenian population collected after the end of the Omicron BA.1 pandemic wave. Serum samples were tested for spike glycoprotein (anti-S) and nucleocapsid protein (anti-N) antibodies. Participants' data regarding confirmed infection and vaccination was obtained from national registries. Anti-S antibodies were detected in 2439 (84.1%) of 2899 sera from persons aged 0-90 years, with the lowest prevalence in the 0-17 age group. The proportion of anti-N positives was the lowest in the ≥70 age group. The proportion of anti-N positives was significantly higher among participants with confirmed past infection and among those who had never been vaccinated. In participants who had not been notified as infected and who had never been vaccinated, the seroprevalence of anti-S and anti-N antibodies was 53% and 35.5%, respectively. From the time of serum collection to mid-November 2022, 445 participants (15.3%) tested positive for SARS-CoV-2, with higher odds in seronegative participants, participants in the 40-59 age group, and those without notified previous infection. Vaccination status and gender had no significant effects on infection risk. This study underlines the importance of serosurveys in understanding the development of the pandemic.
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Affiliation(s)
- Maja Socan
- National Institute of Public Health, 1000 Ljubljana, Slovenia
| | - Katarina Prosenc
- National Laboratory for Health, Food and Environment, 1000 Ljubljana, Slovenia
| | - Maja Mrzel
- National Institute of Public Health, 1000 Ljubljana, Slovenia
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23
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Dorabawila V, Barnes V, Ramesh N, Hoen R, Sommer J, Robbins A, Backenson B, Lutterloh E, Hoefer D, Rosenberg E. Comparison of COVID-19 home-testers vs. laboratory-testers in New York State (excluding New York City), November 2021 to April 2022. Front Public Health 2023; 11:1058644. [PMID: 37033055 PMCID: PMC10076856 DOI: 10.3389/fpubh.2023.1058644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/20/2023] [Indexed: 04/11/2023] Open
Abstract
Background Though the use of coronavirus disease 2019 (COVID-19) home testing kits is increasing, individuals who use home tests are not accounted for in publicly reported COVID-19 metrics. As the pandemic and the methods for tracking cases evolve, it is critical to understand who the individuals excluded are, due to their use of home testing kits, relative to those included in the reported metrics. Methods Five New York State databases were linked to investigate trends in home-tested COVID-19 cases vs. laboratory-confirmed cases from November 2021 to April 2022. Frequency distributions, multivariate logistic regression adjusted odds ratios (aOR), and 95% confidence intervals (CI) were used to compare the characteristics of the home-tested and laboratory-tested people. Results Of the 591,227 confirmed COVID-19 cases interviewed, 71,531 (12%) of them underwent home tests, 515,001 (87%) underwent laboratory tests, and 5,695 (1%) underwent both home tests and laboratory tests during this period. Home-tested COVID-19 cases increased from only 1% in November 2021 to 22% in April 2022. Children aged 5-11 years with an aOR of 3.74 (95% CI: 3.53, 3.96) and adolescents aged 12-17 years with an aOR of 3.24 (95% CI: 3.07, 3.43) were more likely to undergo only home tests compared to adults aged 65 years and above. On the one hand, those who were "boosted" (aOR 1.87, 95% CI: 1.82, 1.93), those in K-12 school settings (aOR 2.33, 95% CI: 2.27, 2.40), or those who were possibly infected by a household member (aOR 1.17, 95% CI: 1.13, 1.22) were more likely to report home testing instead of laboratory testing. On the other hand, individuals who were hospitalized (aOR 0.04, 95% CI: 0.03, 0.06), who had underlying conditions (aOR 0.85, 95% CI: 0.83, 0.87), who were pregnant (aOR 0.76, 95% CI: 0.66, 0.86), and who were Hispanic (aOR 0.50: 95% CI: 0.48, 0.53), Asian (aOR 0.31, 95% CI: 0.28, 0.34), or Black (aOR 0.45, 95% CI: 0.42, 047) were less likely to choose home testing over laboratory testing. Conclusion The percentage of individuals with confirmed COVID-19 who used only home testing kits continues to rise. People who used only home testing were less likely to be hospitalized and were those with a lower likelihood of developing a severe disease given factors such as age, vaccination status, and underlying conditions. Thus, the official COVID-19 metrics primarily reflected individuals with severe illness or the potential for severe illness. There may be racial and ethnic differences in the use of home testing vs. laboratory testing.
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24
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Rogier EW, Giorgi E, Tetteh K, Sepúlveda N. Editorial: Current research on serological analyses of infectious diseases. Front Med (Lausanne) 2023; 10:1154584. [PMID: 36873877 PMCID: PMC9982155 DOI: 10.3389/fmed.2023.1154584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 02/07/2023] [Indexed: 02/19/2023] Open
Affiliation(s)
- Eric William Rogier
- Malaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Emanuele Giorgi
- Centre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, United Kingdom
| | - Kevin Tetteh
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Nuno Sepúlveda
- Department of Mathematics & Information Science, Warsaw University of Technology, Warsaw, Poland.,Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL), Lisbon, Portugal
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