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Nobre T, Fenner ALD, Araújo ELL, de Araújo WN, Roux E, Handschumacher P, Gurgel H, Dallago B, Hecht M, Hagström L, Ramalho WM, Nitz N. Seroprevalence of dengue, Zika, and chikungunya in São Sebastião, Brazil (2020-2021): a population-based survey. BMC Infect Dis 2025; 25:129. [PMID: 39871200 PMCID: PMC11773905 DOI: 10.1186/s12879-025-10516-2] [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: 07/14/2024] [Accepted: 01/16/2025] [Indexed: 01/29/2025] Open
Abstract
BACKGROUND Urban arboviruses pose a significant global burden, particularly in tropical regions like Brazil. São Sebastião, a lower-middle-class urban area just 26 km from the Brazilian capital, is an endemic area for dengue. However, asymptomatic cases may obscure the actual extent of the disease. In this study, we measured the seroprevalence of dengue, Zika virus, and chikungunya, and compared these findings with surveillance data. METHODS A cross-sectional study was conducted involving 1,535 households. ELISA serological tests were performed to detect IgM and IgG antibodies against dengue, Zika virus, and chikungunya. History of previous exposure to arboviruses, data on age, gender, and education level were collected through a questionnaire. Participants who tested positive for IgM and/or IgG were classified as soropositive. Statistical analyses included tests for normality, associations, mean comparisons, and correlations. Positive serological results were compared with cases captured by local epidemiological surveillance. RESULTS The study included 1,405 individuals, divided into two groups related to pre-pandemic and pandemic COVID-19 phases. Among participants, 0.7% to 28.8% self-reported history of dengue, Zika, or chikungunya. However, the estimated overall seroprevalence was 64.3% (95% CI: 61.8-66.7) for dengue virus, 51.4% (95% CI: 48.8-53.9) for Zika virus, and 5.4% (95% CI: 4.4-6.7) for chikungunya virus. Multiple arboviruses were noted at 4.0% (95% CI: 3.1-5.1). Advancing age and lower education were associated with higher exposure to arboviruses (p < 0.05). The estimated number of urban arboviral infections was 84 times higher than reported cases. CONCLUSIONS The large gap between seroprevalence estimates and cases captured by epidemiological surveillance suggests a silent circulation of arboviruses, highlighting the need for comprehensive serological surveys in endemic regions. Addressing these discrepancies is crucial for effective resource allocation and implementation of public health interventions.
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Affiliation(s)
- Tayane Nobre
- Interdisciplinary Laboratory of Biosciences, Faculty of Medicine, University of Brasília, Federal District, Brasília, Brazil
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
| | - Andre Luiz Dutra Fenner
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
| | | | - Wildo Navegantes de Araújo
- Center of Tropical Medicine, University of Brasília, Brasília, Federal District, Brazil
- Institute of Health Technology Assessment of the National Council for Scientific and Technological Development (IATS/CNPq), Porto Alegre, Rio Grande Do Sul, Brazil
| | - Emmanuel Roux
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
- ESPACE-DEV (IRD - Univ Montpellier - Univ Guyane - Univ Reunion - Univ Antilles - Univ Avignon - Univ Perpignan Via Domitia), Montpellier, France
| | - Pascal Handschumacher
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
- UMR SESSTIM (IRD - INSERM - Univ Aix-Marseille), Marseille, France
| | - Helen Gurgel
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
- Department of Geography, University of Brasília, Brasília, Federal District, Brazil
| | - Bruno Dallago
- Interdisciplinary Laboratory of Biosciences, Faculty of Medicine, University of Brasília, Federal District, Brasília, Brazil
| | - Mariana Hecht
- Interdisciplinary Laboratory of Biosciences, Faculty of Medicine, University of Brasília, Federal District, Brasília, Brazil
| | - Luciana Hagström
- Interdisciplinary Laboratory of Biosciences, Faculty of Medicine, University of Brasília, Federal District, Brasília, Brazil
| | - Walter Massa Ramalho
- International Joint Laboratory Sentinela, (University of Brasília, UnB - Oswaldo Cruz Foundation, Fiocruz - French national research institute for sustainable development, IRD), Brasília, Brazil; Montpellier, France; Rio de Janeiro, RJ, Federal District, Brazil
- Center of Tropical Medicine, University of Brasília, Brasília, Federal District, Brazil
| | - Nadjar Nitz
- Interdisciplinary Laboratory of Biosciences, Faculty of Medicine, University of Brasília, Federal District, Brasília, Brazil.
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Hay JA, Routledge I, Takahashi S. Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data. Epidemics 2024; 49:100806. [PMID: 39647462 DOI: 10.1016/j.epidem.2024.100806] [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: 01/18/2024] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/10/2024] Open
Abstract
We present a review and primer of methods to understand epidemiological dynamics and identify past exposures from serological data, referred to as serodynamics. We discuss processing and interpreting serological data prior to fitting serodynamical models, and review approaches for estimating epidemiological trends and past exposures, ranging from serocatalytic models applied to binary serostatus data, to more complex models incorporating quantitative antibody measurements and immunological understanding. Although these methods are seemingly disparate, we demonstrate how they are derived within a common mathematical framework. Finally, we discuss key areas for methodological development to improve scientific discovery and public health insights in seroepidemiology.
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Affiliation(s)
- James A Hay
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
| | - Isobel Routledge
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - Saki Takahashi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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3
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Carcelen AC, Kong AC, Takahashi S, Hegde S, Jaenisch T, Chu M, Rochford R, Kostandova N, Gurley ES, Wesolowski A, Azman AS, van der Klis FRM, den Hartog G, Drakeley C, Heaney CD, Winter AK, Salje H, Rodriguez-Barraquer I, Leung DT, Njenga SM, Kagucia EW, Jambo KC, Wolter N, Charles RC, Saboyá-Díaz MI, Martin DL, Moss WJ. Challenges and Approaches to Establishing Multi-Pathogen Serosurveillance: Findings from the 2023 Serosurveillance Summit. Am J Trop Med Hyg 2024; 111:1145-1152. [PMID: 39226906 PMCID: PMC11542533 DOI: 10.4269/ajtmh.24-0296] [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: 05/02/2024] [Accepted: 06/04/2024] [Indexed: 09/05/2024] Open
Abstract
Multiplex-based serological surveillance is a valuable but underutilized tool to understand gaps in population-level exposure, susceptibility, and immunity to infectious diseases. Assays for which blood samples can be tested for antibodies against several pathogens simultaneously, such as multiplex bead immunoassays, can more efficiently integrate public health surveillance in low- and middle-income countries. On March 7-8, 2023 a group of experts representing research institutions, multilateral organizations, private industry, and country partners met to discuss experiences, identify challenges and solutions, and create a community of practice for integrated, multi-pathogen serosurveillance using multiplex bead assay technologies. Participants were divided into six working groups: 1) supply chain; 2) laboratory assays; 3) seroepidemiology; 4) data analytics; 5) sustainable implementation; and 6) use case scenarios. These working groups discussed experiences, challenges, solutions, and research needs to facilitate integrated, multi-pathogen serosurveillance for public health. Several solutions were proposed to address challenges that cut across working groups.
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Affiliation(s)
- Andrea C. Carcelen
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Alex C. Kong
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Saki Takahashi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sonia Hegde
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - May Chu
- Colorado School of Public Health, Aurora, Colorado
| | | | - Natalya Kostandova
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily S. Gurley
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Amy Wesolowski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew S. Azman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Geneva University Hospitals, Geneva, Switzerland
| | - Fiona R. M. van der Klis
- Center for Infectious Disease Control National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Gerco den Hartog
- Center for Infectious Disease Control National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Laboratory of Medical Immunology, Radboud UMC, Nijmegen, The Netherlands
| | | | - Christopher D. Heaney
- Environmental Health and Engineering Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | | | - Daniel T. Leung
- Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, Utah
| | | | | | - Kondwani C. Jambo
- Malawi-Liverpool-Wellcome Programme (MLW), Blantyre, Malawi
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Richelle C. Charles
- Massachusetts General Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Martha-Idalí Saboyá-Díaz
- Department of Communicable Diseases Prevention, Control, and Elimination, Pan American Health Organization, Washington, District of Columbia
| | - Diana L. Martin
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - William J. Moss
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Rerolle F, Dey AK, Benmarhnia T, Arnold BF. Spatial targeting and integration across vaccination, vitamin A and deworming programs throughout India 2019-21. Int J Epidemiol 2024; 53:dyae160. [PMID: 39657980 PMCID: PMC11631194 DOI: 10.1093/ije/dyae160] [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: 12/11/2023] [Accepted: 11/08/2024] [Indexed: 12/12/2024] Open
Abstract
BACKGROUND Currently, most large-scale public health programs, such as immunization or anti-parasitic deworming, work in relative isolation. Integrating efforts across programs could potentially improve their efficiency, but identifying populations that could benefit from multiple programs has been an operational challenge. METHODS We analyzed a nationally representative survey conducted in India between 2019 and 2021 to assess and map coverage of seven vaccines [Bacillus Calmette-Guérin (BCG), hepatitis B, polio, diphtheria-tetanus-pertussis (DTP), haemophilus influenza type b (Hib), rotavirus and measles-containing vaccine (MCV)], plus Vitamin A supplementation and anti-parasitic deworming treatment among 86 761 children aged 1-3 years old. RESULTS National coverage varied widely by program, from 42% (rotavirus) to 95% (BCG). There was high correlation between district-level coverage estimates (r ≥ 0.7) and extensive spatial overlap in low-coverage populations. In simulated implementation strategies, we show that an integrated strategy that targets full immunization coverage for four core vaccines (BCG, polio, DTP, MCV) would achieve similar coverage to an optimal (but unrealistic) implementation strategy and far better coverage than multiple efforts focused on individual vaccines. Targeting the most under-vaccinated districts within states based on spatial clustering or coverage thresholds led to further improvements in full coverage per child targeted. Integration of anti-parasitic deworming or rotavirus vaccination into a core vaccine delivery mission could nearly double their coverage (from ∼45% to ∼85%). CONCLUSIONS Integrated delivery and geographic targeting across core vaccines could accelerate India's progress toward full immunization coverage. An integrated platform could greatly expand coverage of non-core vaccines and other child health interventions.
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Affiliation(s)
- Francois Rerolle
- Francis I. Proctor Foundation, University of California, San Francisco, CA, USA
- Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Arnab K Dey
- Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Tarik Benmarhnia
- Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Benjamin F Arnold
- Francis I. Proctor Foundation, University of California, San Francisco, CA, USA
- Department of Ophthalmology, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
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Duque MP, Naser AM, dos Santos GR, O’Driscoll M, Paul KK, Rahman M, Alam MS, Al-Amin HM, Rahman MZ, Hossain ME, Paul RC, Luby SP, Cauchemez S, Vanhomwegen J, Gurley ES, Salje H. Informing an investment case for Japanese encephalitis vaccine introduction in Bangladesh. SCIENCE ADVANCES 2024; 10:eadp1657. [PMID: 39121225 PMCID: PMC11313847 DOI: 10.1126/sciadv.adp1657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/08/2024] [Indexed: 08/11/2024]
Abstract
Japanese encephalitis virus (JEV) is a major threat to human health. Bangladesh is considering introducing a JEV vaccine; however, the investment case is hampered by a limited understanding of key aspects of JEV ecology. We conducted a seroprevalence study in a high-incidence region using an assay that limits cross-reactivity with dengue virus. We also trapped mosquitoes and collected information about potential host species. We used mathematical models to recover risk factors for infection and underlying probabilities of severe disease and death. We observed 19.0% [95% confidence interval (CI):17.1 to 21.1] of JEV antibodies. On average, 0.7% (95% CI: 0.2 to 2.0) of the susceptible population gets infected yearly, with pig proximity being the main human infection risk factor. Our traps captured 10 different mosquito species that have been linked with JEV transmission. We estimated that 1 in 1000 infections results in severe disease, 1 in 10,000 results in death, and 76% of severe cases are missed by surveillance.
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Affiliation(s)
- Mariana Perez Duque
- Pathogen Dynamics Group, Department of Genetics, University of Cambridge, Cambridge, UK
| | - Abu M. Naser
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | | | - Megan O’Driscoll
- Pathogen Dynamics Group, Department of Genetics, University of Cambridge, Cambridge, UK
| | - Kishor K. Paul
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- School of Population Health, University of New South Wales, Sydney, NSW, Australia
| | - Mahmudur Rahman
- Institute for Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | - Mohammad S. Alam
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Hasan M. Al-Amin
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- School of the Environment, The University of Queensland, Brisbane, QLD, Australia
| | - Mohammed Z. Rahman
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Mohammad E. Hossain
- International Centre for Diarrheal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Repon C. Paul
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Stephen P. Luby
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
| | - Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR 2000 CNRS, Paris, France
| | | | - Emily S. Gurley
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Henrik Salje
- Pathogen Dynamics Group, Department of Genetics, University of Cambridge, Cambridge, UK
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6
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Roose S, Vande Velde F, Vlaminck J, Geldhof P, Levecke B. Serological diagnosis of soil-transmitted helminth (Ascaris, Trichuris and hookworm) infections: A scoping review. PLoS Negl Trop Dis 2024; 18:e0012049. [PMID: 38574166 PMCID: PMC10994556 DOI: 10.1371/journal.pntd.0012049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/05/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND The World Health Organization emphasizes the importance of integrated monitoring and evaluation in neglected tropical disease (NTD) control programs. Serological assays offer a potential solution for integrated diagnosis of NTDs, particularly for those requiring mass drug administration (MDA) as primary control and elimination strategy. This scoping review aims (i) to provide an overview of assays using serum or plasma to detect infections with soil-transmitted helminths (STHs) in both humans and animals, (ii) to examine the methodologies used in this research field and (iii) to discuss advancements in serological diagnosis of STHs to guide prevention and control programs in veterinary and human medicine. METHODOLOGY We conducted a systematic search in the Ovid MEDLINE, Embase and Cochrane Library databases, supplemented by a Google search using predefined keywords to identify commercially available serological assays. Additionally, we performed a patent search through Espacenet. PRINCIPAL FINDINGS We identified 85 relevant literature records spanning over 50 years, with a notable increased interest in serological assay development in recent years. Most of the research efforts concentrated on diagnosing Ascaris infections in both humans and pigs, primarily using ELISA and western blot technologies. Almost all records targeted antibodies as analytes, employing proteins and peptides as analyte detection agents. Approximately 60% of sample sets described pertained to human samples. No commercially available tests for Trichuris or hookworms were identified, while for Ascaris, there are at least seven different ELISAs on the market. CONCLUSIONS While a substantial number of assays are employed in epidemiological research, the current state of serological diagnosis for guiding STH prevention and control programs is limited. Only two assays designed for pigs are used to inform efficient deworming practices in pig populations. Regarding human diagnosis, none of the existing assays has undergone extensive large-scale validation or integration into routine diagnostics for MDA programs.
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Affiliation(s)
- Sara Roose
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Fiona Vande Velde
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Johnny Vlaminck
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Peter Geldhof
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Bruno Levecke
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
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Byrum JR, Waltari E, Janson O, Guo SM, Folkesson J, Chhun BB, Vinden J, Ivanov IE, Forst ML, Li H, Larson AG, Blackmon L, Liu Z, Wu W, Ahyong V, Tato CM, McCutcheon KM, Hoh R, Kelly JD, Martin JN, Peluso MJ, Henrich TJ, Deeks SG, Prakash M, Greenhouse B, Mehta SB, Pak JE. MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection. Pathogens 2023; 12:671. [PMID: 37242341 PMCID: PMC10221076 DOI: 10.3390/pathogens12050671] [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] [Received: 03/31/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
A multiplexed enzyme-linked immunosorbent assay (ELISA) that simultaneously measures antibody binding to multiple antigens can extend the impact of serosurveillance studies, particularly if the assay approaches the simplicity, robustness, and accuracy of a conventional single-antigen ELISA. Here, we report on the development of multiSero, an open-source multiplex ELISA platform for measuring antibody responses to viral infection. Our assay consists of three parts: (1) an ELISA against an array of proteins in a 96-well format; (2) automated imaging of each well of the ELISA array using an open-source plate reader; and (3) automated measurement of optical densities for each protein within the array using an open-source analysis pipeline. We validated the platform by comparing antibody binding to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigens in 217 human sera samples, showing high sensitivity (0.978), specificity (0.977), positive predictive value (0.978), and negative predictive value (0.977) for classifying seropositivity, a high correlation of multiSero determined antibody titers with commercially available SARS-CoV-2 antibody tests, and antigen-specific changes in antibody titer dynamics upon vaccination. The open-source format and accessibility of our multiSero platform can contribute to the adoption of multiplexed ELISA arrays for serosurveillance studies, for SARS-CoV-2 and other pathogens of significance.
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Affiliation(s)
- Janie R. Byrum
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Eric Waltari
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Owen Janson
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
- EPPIcenter Program, University of California, San Francisco, CA 94143, USA
| | - Syuan-Ming Guo
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Jenny Folkesson
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Bryant B. Chhun
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Joanna Vinden
- Infectious Diseases and Immunity Graduate Program, University of California, Berkeley, CA 94720-3370, USA
| | - Ivan E. Ivanov
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Marcus L. Forst
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Hongquan Li
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Adam G. Larson
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Lena Blackmon
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Ziwen Liu
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Wesley Wu
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Vida Ahyong
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Cristina M. Tato
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | | | - Rebecca Hoh
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, CA 94110, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - Manu Prakash
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Bryan Greenhouse
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
- EPPIcenter Program, University of California, San Francisco, CA 94143, USA
| | - Shalin B. Mehta
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - John E. Pak
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
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