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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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Virtanen J, Korhonen EM, Salonen S, Vapalahti O, Sironen T, Jääskeläinen AJ. SARS-CoV-2 infections among pregnant women, 2020, Finland-Cross-testing of neutralization assays. J Med Virol 2024; 96:e29415. [PMID: 38293724 DOI: 10.1002/jmv.29415] [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: 09/08/2023] [Revised: 12/20/2023] [Accepted: 01/10/2024] [Indexed: 02/01/2024]
Abstract
We studied the development of the severe acute respiratory syndrome-related coronavirus (SARS-CoV-2) pandemic in southern Finland in 2020 and evaluated the performance of two surrogate immunoassays for the detection of neutralizing antibodies (NAbs). The data set consisted of 12 000 retrospectively collected samples from pregnant women in their first trimester throughout 2020. All the samples were initially screened for immunoglobulin G (IgG) with SARS-CoV-2 spike antibody assay (EIM-S1, Euroimmun) followed by confirmation with nucleocapsid antibody assay (Architect SARS-CoV-2, Abbott). Samples that were reactive (positive or borderline) with both assays were subjected to testing with commercial surrogate immunoassays of NeutraLISA (EIM) and cPassTM (GenScript Biotech Corporation) by using pseudoneutralization assay (PNAbA) as a golden standard. No seropositive cases were detected between January and March. Between April and December, IgG (EIM-S1 and Abbott positive) and NAb (PNAbA positive) seroprevalences were between 0.4% and 1.4%. NeutraLISA showed 90% and cPass 55% concordant results with PNAbA among PNAbA negative samples and 49% and 92% among PNAbA positive samples giving NeutraLISA better specificity but lower sensitivity than cPass. To conclude, seroprevalence in pregnant women reflected that of the general population but the variability of the performance of serological protocols needs to be taken into account in inter-study comparison.
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Affiliation(s)
- Jenni Virtanen
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Virology, University of Helsinki, Helsinki, Finland
| | - Essi M Korhonen
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Virology, University of Helsinki, Helsinki, Finland
| | - Sami Salonen
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Olli Vapalahti
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Virology, University of Helsinki, Helsinki, Finland
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tarja Sironen
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Virology, University of Helsinki, Helsinki, Finland
| | - Anne J Jääskeläinen
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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