IDEAS home Printed from https://ideas.repec.org/a/gam/jjopen/v6y2023i1p15-206d1102067.html
   My bibliography  Save this article

Evaluation of the Abbott Panbio™ COVID-19 Ag Rapid Antigen Test for Asymptomatic Patients during the Omicron Wave

Author

Listed:
  • Viet Tran

    (Royal Hobart Hospital, Tasmanian Health Service, Hobart 7000, Australia
    Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia
    Menzies Institute for Medical Research, University of Tasmania, Hobart 7000, Australia)

  • Giles Barrington

    (Royal Hobart Hospital, Tasmanian Health Service, Hobart 7000, Australia
    Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia)

  • Zach Aandahl

    (School of Natural Sciences, University of Tasmania, Hobart 7000, Australia)

  • Amelia Lawrence

    (Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia)

  • Senudi Wijewardena

    (Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia)

  • Brian Doyle

    (Royal Hobart Hospital, Tasmanian Health Service, Hobart 7000, Australia
    Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia)

  • Louise Cooley

    (Royal Hobart Hospital, Tasmanian Health Service, Hobart 7000, Australia
    Tasmanian School of Medicine, University of Tasmania, Hobart 7000, Australia)

Abstract

Rapid antigen testing (RAT) is a cost-effective and time-efficient method of identifying severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and therefore a critical part of infection control strategies. There is no published evidence evaluating the use of RAT during the Omicron wave of the COVID-19 pandemic for asymptomatic patients or its performance between waves. All patients presenting to an Emergency Department over a two-week period without COVID-19 symptoms were screened for SARS-CoV-2 using both the Abbott Panbio RAT as well as the gold standard reverse transcriptase real-time polymerase chain reaction (PCR). The Abbott Panbio RAT sensitivity was 13% (95% CI 0.028, 0.336) for asymptomatic patients. The use of this test in asymptomatic patients during the Omicron wave had a statistically significant reduction in sensitivity compared with two reports of the same test in previous waves (13% vs. 86%, p < 0.0001; 13% vs. 83%, p < 0.0001). As SARS-CoV-2 continues to mutate, the sensitivity of RATs are altered and needs to be continually re-evaluated for each variant of concern if they are to be used as part of an infection control strategy.

Suggested Citation

  • Viet Tran & Giles Barrington & Zach Aandahl & Amelia Lawrence & Senudi Wijewardena & Brian Doyle & Louise Cooley, 2023. "Evaluation of the Abbott Panbio™ COVID-19 Ag Rapid Antigen Test for Asymptomatic Patients during the Omicron Wave," J, MDPI, vol. 6(1), pages 1-9, March.
    • Handle: RePEc:gam:jjopen:v:6:y:2023:i:1:p:15-206:d:1102067
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8800/6/1/15/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8800/6/1/15/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lukas E Brümmer & Stephan Katzenschlager & Mary Gaeddert & Christian Erdmann & Stephani Schmitz & Marc Bota & Maurizio Grilli & Jan Larmann & Markus A Weigand & Nira R Pollock & Aurélien Macé & Sergio, 2021. "Accuracy of novel antigen rapid diagnostics for SARS-CoV-2: A living systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(8), pages 1-41, August.
    2. Andrew T. Levin & William P. Hanage & Nana Owusu-Boaitey & Kensington B. Cochran & Seamus P. Walsh & Gideon Meyerowitz-Katz, 2020. "Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-analysis, & Public Policy Implications," NBER Working Papers 27597, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Theodora Sanida & Maria Vasiliki Sanida & Argyrios Sideris & Minas Dasygenis, 2024. "Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques," J, MDPI, vol. 7(3), pages 1-17, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
    2. Anna Scherbina, 2021. "Assessing the Optimality of a COVID Lockdown in the United States," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 177-201, July.
    3. Antonio Diez de los Rios, 2022. "A macroeconomic model of an epidemic with silent transmission and endogenous self‐isolation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 581-625, February.
    4. Saskia Morwinsky & Natalie Nitsche & Enrique Acosta, 2021. "COVID-19 fatality in Germany: Demographic determinants of variation in case-fatality rates across and within German federal states during the first and second waves," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(45), pages 1355-1372.
    5. Neha Deopa & Piergiuseppe Fortunato, 2022. "Language and the cultural markers of COVID-19," Post-Print hal-03665755, HAL.
    6. Miguel Casares & Paul Gomme & Hashmat Khan, 2022. "COVID‐19 pandemic and economic scenarios for Ontario," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 503-539, February.
    7. Lin Ma & Gil Shapira & Damien de Walque & Quy‐Toan Do & Jed Friedman & Andrei A. Levchenko, 2022. "The Intergenerational Mortality Trade‐Off Of Covid‐19 Lockdown Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1427-1468, August.
    8. Michalski Tomasz & Stępień Joanna, 2021. "Ageing in European post-communist countries – is it a threat to the welfare system?," Environmental & Socio-economic Studies, Sciendo, vol. 9(2), pages 63-71, June.
    9. Tanmay Devi & Kaushik Gopalan, 2022. "A Statistical Model of COVID-19 Infection Incidence in the Southern Indian State of Tamil Nadu," IJERPH, MDPI, vol. 19(17), pages 1-10, September.
    10. Egor Malkov, 2021. "Spousal Occupational Sorting and COVID-19 Incidence: Evidence from the United States," Papers 2107.14350, arXiv.org, revised Sep 2021.
    11. Paul Labonne & Leif Anders Thorsrud, 2023. "Risky news and credit market sentiment," Working Papers No 14/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    12. Jan Krzysztof Solarz & Krzysztof Waliszewski, 2020. "Holistic Framework for COVID-19 Pandemic as Systemic Risk," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 340-351.
    13. Ferdinand von Siemens, 2021. "Motivated Beliefs and the Elderly's Compliance With Covid-19 Measures," CESifo Working Paper Series 8832, CESifo.
    14. Andrew Perrault & Marie Charpignon & Jonathan Gruber & Milind Tambe & Maimuna Majumder, 2020. "Designing Efficient Contact Tracing Through Risk-Based Quarantining," NBER Working Papers 28135, National Bureau of Economic Research, Inc.
    15. Quang Dang Nguyen & Mikhail Prokopenko, 2022. "A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures," Papers 2205.08996, arXiv.org, revised Nov 2022.
    16. Christina Bohk-Ewald & Enrique Acosta & Timothy Riffe & Christian Dudel & Mikko Myrskylä, 2021. "Magnitude, global variation, and temporal development of the COVID-19 infection fatality burden," MPIDR Working Papers WP-2021-024, Max Planck Institute for Demographic Research, Rostock, Germany.
    17. Kordonis, Ioannis & Lagos, Athanasios-Rafail & Papavassilopoulos, George P., 2022. "Nash social distancing games with equity constraints: How inequality aversion affects the spread of epidemics," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    18. Claudius Gros & Thomas Czypionka & Daniel Gros, 2021. "When to end a lock down? How fast must vaccination campaigns proceed in order to keep health costs in check?," Papers 2103.15544, arXiv.org, revised Jan 2022.
    19. Fulvio Lauretani & Marco Salvi & Irene Zucchini & Crescenzo Testa & Chiara Cattabiani & Arianna Arisi & Marcello Maggio, 2023. "Relationship between Vitamin D and Immunity in Older People with COVID-19," IJERPH, MDPI, vol. 20(8), pages 1-19, April.
    20. Mouré, Christopher, 2022. "Costly Efficiencies: Health Care Spending, COVID-19, and the Public/Private Health Care Debate," Review of Capital as Power, Capital As Power - Toward a New Cosmology of Capitalism, vol. 2(2), pages 17-45.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjopen:v:6:y:2023:i:1:p:15-206:d:1102067. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.