Challenges and Approaches to Establishing Multi-Pathogen Serosurveillance: Findings from the 2023 Serosurveillance Summit

Andrea C. Carcelen Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Alex C. Kong Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Saki Takahashi Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Sonia Hegde Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Thomas Jaenisch Colorado School of Public Health, Aurora, Colorado;

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May Chu Colorado School of Public Health, Aurora, Colorado;

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Rosemary Rochford Colorado School of Public Health, Aurora, Colorado;

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Natalya Kostandova Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Emily S. Gurley Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Amy Wesolowski Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Andrew S. Azman Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;
Geneva University Hospitals, Geneva, Switzerland;

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Fiona R. M. van der Klis Center for Infectious Disease Control National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands;

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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;

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Christopher Drakeley London School of Tropical Medicine and Health, London, United Kingdom;

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Christopher D. Heaney Environmental Health and Engineering Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;

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Amy K. Winter University of Georgia, Athens, Georgia;

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Henrik Salje Department of Genetics, University of Cambridge, Cambridge, United Kingdom;

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Isabel Rodriguez-Barraquer Department of Medicine, University of California, San Francisco, California;

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Daniel T. Leung Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, Utah;

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Sammy M. Njenga Kenya Medical Research Institute (KEMRI), Nairobi, Kenya;

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Eunice Wangeci Kagucia KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya;

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Kondwani C. Jambo Malawi-Liverpool-Wellcome Programme (MLW), Blantyre, Malawi;
Liverpool School of Tropical Medicine, Liverpool, United Kingdom;

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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;

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Richelle C. Charles Massachusetts General Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Boston, Massachusetts;

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Martha-Idalí Saboyá-Díaz Department of Communicable Diseases Prevention, Control, and Elimination, Pan American Health Organization, Washington, District of Columbia;

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Diana L. Martin Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia

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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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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.

INTRODUCTION

The WHO recently introduced collaborative surveillance as one of five interconnected components of health emergency preparedness, response, and resilience.1,2 A core objective of collaborative surveillance is to break down siloed disease surveillance systems and replace them with a collaborative and integrated system across diseases, public and private sectors, and administrative levels.

Serological surveillance, or serosurveillance, complements traditional public health surveillance for infectious diseases through the collection and analysis of specimens (e.g., serum, blood, or oral fluid) to measure antibodies to pathogens and estimate population-level exposure, susceptibility, and immunity to infectious diseases.3 This information can guide public health policies and programs for the control and elimination of several communicable diseases, including vaccine-preventable diseases (VPDs), neglected tropical diseases (NTDs), and emerging infectious diseases (EIDs). Although serosurveillance has been used for decades, the COVID-19 pandemic amplified interest in serology.4

The development of technologies such as multiplex bead immunoassays (MBIAs), which allow for the simultaneous detection of antibodies to more than one pathogen in a single assay, rapidly advanced the ability to efficiently conduct integrated, multi-pathogen serosurveillance.3,5 These technologies enable health systems to monitor exposure, susceptibility, and immunity to multiple pathogens with limited additional resources compared with using single-pathogen assays.6

Multiplex bead immunoassays have been developed for detecting antibodies against a range of pathogens including VPDs79; respiratory pathogens10; NTDs1115; malaria16,17; sexually transmitted infections18; EIDs19; arboviruses20; and SARS-CoV-2.21 Integrating serosurveillance across multiple pathogens could efficiently leverage financial resources and personnel as well as metadata obtained from questionnaires. Integration with other surveillance programs (e.g., diagnostic, syndromic, and wastewater surveillance)3 could further improve the efficiency of surveillance systems to control the spread of disease.

Despite the MBIA being a powerful tool for public health surveillance, several barriers have prevented the widespread adoption of these technologies, particularly in low- and middle-income countries (LMICs), where they might be especially useful.22 Through partnerships with academic and government research institutions, multi-pathogen serosurveillance has been conducted in sub-Saharan Africa,23,24 Asia,3,25,26 and the Americas.22,27,28 The CDC and the Pan American Health Organization developed guidance for program managers to design and conduct integrated multi-pathogen serosurveillance.28

To discuss the opportunities and complexities with establishing integrated, multi-pathogen serosurveillance, experts from the Collaboration on Integrated Biomarkers Surveillance met in 2018 to catalog pathogens for inclusion in multiplex serological assays, lay out objectives for an integrated platform, identify potential use cases, and discuss advocacy.29 Building on this work, in March 2023, the International Vaccine Access Center at the Johns Hopkins Bloomberg School of Public Health, with support from the Bill and Melinda Gates Foundation and collaborators at the Center for Global Health at the University of Colorado Anschutz Medical Campus, convened a serosurveillance summit that further explored topics related to the use of MBIAs for multi-pathogen serosurveillance.

SEROSURVEILLANCE SUMMIT MEETING

Experts across a range of institutions and fields participated, including researchers, multilateral organizations, country partners, private sector companies, and supply chain organizations. Participants were divided into two of six working groups: 1) supply chain, 2) laboratory assays, 3) seroepidemiology, 4) data analytics, 5) sustainable implementation, and 6) use case scenarios. The objectives of the workshop were to share experiences establishing integrated, multi-pathogen serosurveillance with a focus on MBIAs; identify key challenges, potential solutions, and research needs for integrated serosurveillance using MBIAs; and establish a community of practice of technical experts.

Experiences and challenges.

Participants shared their experiences with multi-pathogen serosurveillance (Annex 1). Based on these discussions, key issues that countries using multiplex serosurveillance have encountered were outlined using the steps for establishing a sustainable integrated serosurveillance system (Figure 1).

Figure 1.
Figure 1.

A framework depicting key steps for establishing a sustainable integrated serosurveillance system. The steps correspond with the six working groups, except for using data for program action, which is part of the sustainable implementation working group.

Citation: The American Journal of Tropical Medicine and Hygiene 111, 5; 10.4269/ajtmh.24-0296

Public health questions and use cases.

Because multi-pathogen surveillance involves multiple programs and partners, it can be challenging to generate buy-in from all stakeholders and identify potential programmatic impact early in the planning process. As more pathogens are included, additional groups working on different diseases will need to be engaged. Programmatic or research questions were framed as “use cases” for which serosurveillance is most likely to add value to existing surveillance systems. Table 1 presents five of the most common use cases identified and linked target pathogen(s) of interest. Several groups of pathogens were considered most relevant, including VPDs, emerging pathogens, NTDs, and other pathogens associated with high disease burden.

Table 1

Use cases for multiplex serosurveillance

Use Cases and a Representative Example Example Pathogens
Estimating the burden and distribution of infections to complement or fill gaps in existing surveillance systems30 NTDs

Trypanosoma cruzi (Chagas disease), Chikungunya Virus, Taenia solium (cysticercosis), Strongyloides spp., Treponema pallidum subspecies pertenue (yaws)

Enteric pathogens Campylobacter spp., Vibrio cholerae, Cryptosporidium, Giardia

Malaria

Plasmodium Species

HIV

Respiratory Viruses

Respiratory Syncytial Virus, Influenza Virus
Identifying emerging and reemerging infections31 Filoviruses

Ebolaviruses, Marburg Virus

Other Viruses

Lassa Virus, mpox Virus SARS-CoV-2, Zika Virus
Identifying vaccine program reach or gaps and geographic or demographic gaps32 Childhood Diseases

Measles Virus, Polioviruses, Rubella Virus, Diphtheria, Tetanus, Pertussis

Other Viruses

SARS-CoV-2, Yellow Fever Virus
Assessing changes in pathogen exposure due to behavioral, environmental, or (non-) pharmaceutical interventions or environmental changes33 NTDs

Chikungunya Virus, Dengue Virus, Lymphatic Filariasis

Bacteria

Streptococcus pneumoniae spp., Salmonella serotype Typhi (Typhoid)

Malaria

Plasmodium Species
Monitoring peri- and post-elimination settings for diseases with elimination goals34 NTDs

Chlamydia trachomatis (trachoma), Dracunculus medinensis (Guinea worm), Leishmania spp. (visceral leishmaniasis), Nematodes (lymphatic filariasis), Onchocerca volvulus (onchocerciasis), Treponema pallidum subspecies pertenue (yaws), Trypanosoma brucei (human African trypanosomiasis)

Vaccine-Preventable Diseases

Polioviruses

Malaria

Plasmodium spp. (subnational levels)

Study design.

A key issue is identifying the appropriate target population for the question of interest. Because pathogens affect individuals across different demographic characteristics (e.g., age), selecting a target population to cover all pathogens of interest is challenging. Other challenges include defining population sampling strategies and sample sizes to answer multiple questions simultaneously and determining the optimal survey frequency to measure temporal trends across pathogens and address programmatic needs. One viable option includes nesting specimen collection within existing surveys that sample large populations across multiple characteristics (e.g., demographic and health surveys, multiple indicator cluster surveys). Less resource-intensive sampling strategies such as using residual blood specimens (e.g., from health facility laboratories or routine screening of pregnant women) can reduce costs while still capturing a range of populations and time points. In addition, specimen type (e.g., dried blood spots, venous blood, and oral fluid) must balance feasibility of collection and assay validity across all pathogens.

Supplies.

One of the biggest challenges raised by multiple groups was related to the supply chain for assay reagents and equipment. Challenges included procuring, maintaining, and repairing platform technology, such as Luminex instruments. Procuring quality-assured beads and assay reagents in a space with few small-scale producers of conjugated beads is also an issue. Other challenges with supply chain sustainability involve understanding and addressing country-specific limitations to importation, maintaining the cold chain, and establishing procurement procedures and processes for reagents and supplies.

Laboratory assays.

For multi-pathogen serosurveillance, several issues related to assay development, antigen discovery and validation, identification of proper controls, and assay performance must be addressed. Many research groups have developed standard operating procedures for equipment maintenance, assay techniques, assay development, quality control, and other key multiplex serology operations. However, resources such as positive and negative controls are not always available and require continuous support to laboratories for appropriate use. Furthermore, quality controls to validate assay runs and track assay performance over time are needed. Standardization holds the promise to make serosurveillance results more comparable between laboratories, but this is currently hampered by the limited availability of reference standards. Available reference reagents are typically calibrated for a specific pathogen, not for a broad range of them. Consequently, to report international units, standards need to be calibrated against each other, or an in-house standard must be built and calibrated against multiple standards.

Developing assays requires knowledge of the immunogenicity of antigens, kinetics of antibody responses, and relevance for assessing disease burden or protective immunity (i.e., correlates of immune protection). Because assay development can be technically challenging and requires thorough validation, the number of laboratories that currently undertake assay development is limited. High demand and inadequate capacity limit the availability of antigen-coupled beads, which are currently produced by a small number of research groups, although technology transfer initiatives are ongoing. For countries considering implementing multiplex serosurveillance but unable to develop assays, commercial options are also limited.

STATISTICAL ANALYSES

There are currently no standardized approaches to cleaning raw laboratory data and establishing seropositivity thresholds, as this varies by antigen, the availability of controls, and population. This first stage of analysis includes performing quality control checks, evaluating serial dilution standard curves, and ensuring that steps to normalize data are appropriately applied. Translating cleaned data into useful epidemiological inference requires analytical approaches that model the normalized quantitative values or the establishment of reasonable cut-points for seropositivity that are relevant for the specific use case. In addition, the interpretation of pathogen-specific age patterns and geographic distributions of seroprevalence requires supplementing laboratory data with demographic characteristics and contextualized epidemiological understanding of the specific pathogens. The use of serological data for computing age seroprevalence curves and estimating epidemiological parameters, such as forces of infection, is established for well-characterized antigens. A key remaining challenge is selecting and implementing appropriate analytical approaches (and metadata) to answer questions of interest for less–well-characterized antigens as well as across multiple antigens or pathogens simultaneously. Furthermore, there is a need for data analytic pipelines to facilitate the interpretation of data by balancing detail and complexity and producing user-friendly data visualizations such as spatial maps.

Data for program action.

Given the complexities of analyzing multiple pathogens simultaneously, it can be challenging to generate interpretable and easily visualized results for target audiences such as policymakers and program managers. The time from serosurvey data collection to dissemination of results is often long (months), which makes it challenging to use results for decision-making. Serosurvey data should be triangulated with other data sources for interpretation of the epidemiological findings for each disease. When serosurveillance for several pathogens is simultaneously analyzed and presented, it can be challenging to contextualize all findings in a succinct, clear manner.

Cross-cutting challenges.

Training needs include supply chain logistics and procurement so laboratories can place their supply orders and anticipate shortages. Similarly, training on instrument use and routine maintenance are needed to sustain high instrument performance and minimize downtime and costly repairs. There are also challenges with technology transfer, including training on the MBIA, bead coupling and validation, and quality control procedures. In addition, there is a strong need for training in data analytics, as multi-pathogen serosurveillance data are complex and most useful when combined with complementary data such as vaccination coverage or case-based disease surveillance data.

Table 2 summarizes challenges identified in each working group. Additional details are available in the full meeting report.35

Table 2

Key challenges identified by the working groups

Working Group Key Challenges
Supply chain Procuring and maintaining appropriate platform technology, producing and procuring quality-assured beads and assays, commercializing kits, maintaining the cold chain, understanding and addressing country-specific limitations to importation, and limited human and technological capacity to anticipate and avoid supply chain issues
Seroepidemiology Selecting sample populations and sample sizes, establishing the frequency of sampling, identifying and validating less resource-intensive sampling strategies, defining sampling approaches that answer multiple questions, determining core individual- and household-level data to collect, and linking serosurvey antigens to study design for programmatic impact
Laboratory assays Supporting technology transfer and training, sharing best practices and protocols, standardizing antigen use across countries, defining quality control standards, and developing reference reagents
Data analytics Standardizing and cleaning raw laboratory data, translating cleaned data into useful epidemiological inference by selecting appropriate analytical approaches to answer questions of interest, and developing user-friendly analytical and visualization pipelines
Sustainable implementation Demonstrating added value for initial engagement, generating buy-in across national health systems, ensuring adequate laboratory capacity and procurement, and interpreting data and integrating results for decision-making

Proposed solutions across working groups.

Creation of an electronic platform to share resources and expertise.

There is a strong need for information-sharing platforms. New tools and resources needed to support multiplex serosurveillance include a planning tool that would allow users to prepare for resources needed and to estimate cost; a supply chain “playbook” that details cold chain and labeling requirements and substitutable reagents; protocols that enable adaptive sampling strategies; and ethical considerations for additional testing in serosurveillance studies. Furthermore, case studies demonstrating how countries have used serosurveillance to guide public health actions would help underscore the value of serosurveillance. In addition, the platform could aid in standardizing preprocessing pipelines between studies and harmonizing data.

A unified platform could host these tools and other resources such as a central repository for antigens and standards, protocols, data packages and scripts, sample size calculation tools, best practices, training resources, and plain-language policy briefs and technical documents. Critically, this platform should also allow users to communicate with one another to troubleshoot problems and share experiences. Creating a single platform to address these needs could help develop and sustain a culture of collaboration while facilitating harmonization efforts where practical.

Building local capacity and training.

Expanding the capacity for MBIAs in low-resourced settings will help generate data where they are most needed. Enhanced capacity could also create a more favorable environment for commercialization, enable greater collaboration and country ownership, promote harmonization, and address key bottlenecks. Several areas were identified as priorities for capacity building, including the development of regional hubs and use of multiple training approaches such as on-site training, online training, and train-the-trainer initiatives. These approaches could enable users to perform MBIAs, service and troubleshoot bead-based multiplex platforms, and produce or procure antigen-coupled beads. Although discussion of capacity building focused on LMICs, many areas were relevant for users in all countries.

Developing quality control and standardized approaches.

Exploring ways to standardize approaches would allow for comparison of results across countries. However, harmonization can be challenging. Targets for standardization include standardizing approaches to conducting serosurveys; creating or procuring quality assay materials; and best practices for cleaning, analyzing, and presenting data. Developing and validating positive and negative reference controls by antigen (e.g., through the United Kingdom’s National Institute for Biological Standards and Control or using validated recombinant antibodies) would lead to results that are more interpretable across assays, populations, and time points. Developing a common panel with the most frequently used antigens across regions could also facilitate cross-country comparisons, though customization would still be needed to address country-specific priorities.

Establishing a laboratory network and building partnerships.

A laboratory support network would facilitate knowledge sharing and troubleshooting at country, regional, and global levels, helping to connect laboratory groups. Partnering with private companies would support commercialization of panels and sharing of know-how regarding supply chain constraints. Partnering with supply chain experts would enable procurement and packaging of common reagents and materials to streamline ordering processes and avoid delays caused by stockouts. Regional networks could also allow groups to share limited resources—including access to instruments and materials like antigen-coupled beads—and to pool demand for these resources. Regional hubs could be characterized by function (e.g., coupling antigens to beads and providing quality control) to help meet the needs of different groups, further building a collaborative network.

Generating political buy-in for multiplex serosurveillance.

Participants viewed the establishment of buy-in from governments, funders, and regulatory agencies as essential for the introduction and scale-up of multi-pathogen serosurveillance. Approaches to achieving support and fostering greater participation from these entities include exploring standardized approval processes for the importation of products necessary for multi-pathogen serosurveillance, developing a taxonomy of pathogen-specific antigens paired to scientific and policy-relevant use cases, involving governmental agencies in training initiatives, and developing analytical and visualization pipelines to aid understanding. Garnering high-level regional and international support to develop guidance and recommendations for the implementation and use of integrated serosurveillance was considered a priority. Organizations such as the Pan American Health Organization (PAHO) and the U.S. CDC have developed documents that were discussed as starting points.28 This goal could be supported through conversations with decision-makers to demonstrate how integrated, multi-pathogen serosurveillance can complement existing disease surveillance systems and by providing successful case studies. Generating community buy-in through communication of the benefits and limitations of serosurveillance is also critical, as exploring the value of integrated serosurveillance hinges on their participation.

DISCUSSION

Serosurveillance provides valuable information to guide public health programs, especially when triangulated with data from other surveillance systems. In isolation, serosurveillance systems are costly to establish and sustain.28,36 Serosurveillance data are underutilized because of the heterogeneity of assays and the delay in disseminating results to health authorities for meaningful program impact.37,38 Ideally, integration of serosurveillance with routine public health activities can reduce costs and make it more sustainable, but that requires sufficient buy-in and funding.6,14,23,39 The lessons learned from experiences establishing serosurveillance across multiple countries should be shared to promote further investment in this technology.

For serosurveillance to have programmatic impact, data must be available in a timely fashion. Several bottlenecks cause delays: planning epidemiologically relevant serosurveys; procuring materials and equipment; and cleaning, analyzing, and interpreting data.29 Some approaches, such as developing standard operating procedures, addressing supply chain issues, optimizing data analysis pipelines, training local health researchers, and sharing preliminary results with decision-makers can shorten the time for data to be used for action.22 Timely serosurveillance data provide insights into disease transmission patterns and population vulnerability to outbreaks to guide control and elimination strategies.

Financial, technical, and political support is also needed to overcome these bottlenecks. For example, the development of a commercial panel for frequently tested antibodies could address supply chain constraints, but commercialization restricts flexibility to modify the pathogens that can be tested. For commercialization of panels, there will need to be sufficient demand. Without adequate resources, serosurveillance efforts may only be pilots or ad hoc endeavors. Investment in the development of country-led, multi-pathogen serosurveillance systems such as PAHO’s28 can expand the number of countries conducting multi-pathogen serosurveillance.

In addition to the use cases presented, there are additional questions of public health importance that could be explored (e.g., optimizing vaccination schedules). Recently, the most common use case was measuring the spread of SARS-CoV-2; seroprevalence studies were conducted in 149 countries.4 This allowed tracking the spread of the virus, identifying transmission dynamics, monitoring population immunity, and evaluating vaccine program performance.40,41 Leveraging the capacity building, networking, platforms, and expertise developed during the COVID-19 pandemic could better prepare us for the next emerging pathogen and support surveillance systems for diseases that are underfunded.

The global response to the COVID-19 pandemic also demonstrated the power of coordination across institutions. Monitoring seroprevalence and population immunity in different settings harnessed learnings across the globe. Although harmonized approaches were feasible for SARS-CoV-2 and allowed for cross-country comparisons, many pathogens need additional research to allow for such comparisons. Vaccine-preventable diseases such as measles and rubella already have standardized international controls, agreed upon correlates of protection, existing laboratory networks, and clear programmatic actions that can be informed by serological data.42 As multiplex panels are developed for different pathogens, similar standardization could enable results to be more readily compared across settings. Although VPDs are an area where standardization is within reach, achieving this aim across a diverse array of pathogens—especially considering the unique epidemiological profiles and priorities of different countries—will require more developed serosurveillance systems and international coordination.

Although multi-pathogen serosurveillance has traditionally been used in high-income countries (HICs),43 it has also been used in LMICs, often with a high degree of technical support from organizations based in HICs. Some studies include samples from LMICs that were tested entirely in an HIC,44 in both LMICs and HICs,21,45 and entirely in an LMIC.23,4649 To ensure the promotion of country ownership, initiatives are needed to build local capacity to couple beads, perform MBIAs, and analyze data that are coordinated with national governments and aligned with their priorities. More recently, efforts to transfer technology and build capacity in countries in the Americas22,28 and Africa23 have paved the way for future endeavors to scale up multiplex serosurveillance. To move toward routine serosurveillance globally, additional funding is needed to fill research gaps and advance implementation in additional settings, including bolstering capacity in laboratories that do not yet have the technologies used in multi-pathogen serosurveillance.

Building on the momentum from previous efforts, the 2023 Serosurveillance Summit provides further impetus to advance collaboration among countries to conduct multi-pathogen serosurveillance. Participants will continue serving on working groups to put into practice the proposed solutions outlined above. This community of practice brings together a network of scientists and practitioners to facilitate knowledge sharing and develop a platform for multi-pathogen, multi-country serosurveillance. These established networks and relationships could facilitate rapid response efforts for future emerging pathogens. As the world moves to reclaim the progress against infectious diseases that was disrupted by the COVID-19 pandemic—and to enhance preparedness to prevent or mitigate the next pandemic—the appetite for establishing multi-pathogen serosurveillance systems has never been greater.

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ACKNOWLEDGMENTS

We thank Erica Carcelen and NaQuasha Leonard from the International Vaccine Access Center at the Johns Hopkins Bloomberg School of Public Health for their logistic and operational support of the meeting. In addition, we acknowledge the notetakers from the Johns Hopkins Bloomberg School of Public Health (Lindsay Avolio and Sophie Bérubé) and the University of Colorado (Shahjahan Ali, Mattie Cassaday, and Julia Poje). This meeting would not have been possible without the funding and guidance of the Bill and Melinda Gates Foundation (INV-056115). Finally, we are grateful to all the working group members of the Serosurveillance Summit for attending the meeting and contributing to the rich discussions.

REFERENCES

  • 1.

    World Health Organization , 2023. Defining Collaborative Surveillance: A Core Concept for Strengthening the Global Architecture for Health Emergency Preparedness, Response, and Resilience (HEPR). Geneva, Switzerland: WHO.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Archer BN et al., 2023. Defining collaborative surveillance to improve decision making for public health emergencies and beyond. Lancet 401: 18311834.

  • 3.

    Arnold BF , Scobie HM , Priest JW , Lammie PJ , 2018. Integrated serologic surveillance of population immunity and disease transmission. Emerg Infect Dis 24: 11881194.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Arora RK et al., 2021. SeroTracker: A global SARS-CoV-2 seroprevalence dashboard. Lancet Infect Dis 21: e75e76.

  • 5.

    Elshal MF , McCoy JP , 2006. Multiplex bead array assays: Performance evaluation and comparison of sensitivity to ELISA. Methods 38: 317323.

  • 6.

    Solomon AW et al., 2012. A diagnostics platform for the integrated mapping, monitoring, and surveillance of neglected tropical diseases: Rationale and target product profiles. PLOS Negl Trop Dis 6: e1746.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Dhiman N , Jespersen DJ , Rollins LO , Harring JA , Beito EM , Binnicker MJ , 2010. Detection of IgG-class antibodies to measles, mumps, rubella, and varicella-zoster virus using a multiplex bead immunoassay. Diagn Microbiol Infect Dis 67: 346349.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Hayford K et al., 2019. Measles and rubella serosurvey identifies rubella immunity gap in young adults of childbearing age in Zambia: The added value of nesting a serological survey within a post-campaign coverage evaluation survey. Vaccine 37: 23872393.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    de Voer RM , Schepp RM , Versteegh FGA , van der Klis FRM , Berbers GAM , 2009. Simultaneous detection of Haemophilus influenzae type b polysaccharide-specific antibodies and Neisseria meningitidis serogroup A, C, Y, and W-135 polysaccharide-specific antibodies in a fluorescent-bead-based multiplex immunoassay. Clin Vaccine Immunol 16: 433436.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Mahony J , Chong S , Merante F , Yaghoubian S , Sinha T , Lisle C , Janeczko R , 2007. Development of a respiratory virus panel test for detection of twenty human respiratory viruses by use of multiplex PCR and a fluid microbead-based assay. J Clin Microbiol 45: 29652970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Kim JS et al., 2019. Community-level chlamydial serology for assessing trachoma elimination in trachoma-endemic Niger. PLoS Negl Trop Dis 13: e0007127.

  • 12.

    Martin DL et al., 2015. Serology for trachoma surveillance after cessation of mass drug administration. PLoS Negl Trop Dis 9: e0003555.

  • 13.

    Goodhew EB et al., 2014. Longitudinal analysis of antibody responses to trachoma antigens before and after mass drug administration. BMC Infect Dis 14: 216.

  • 14.

    Priest JW et al., 2016. Integration of multiplex bead assays for parasitic diseases into a national, population-based serosurvey of women 15–39 years of age in Cambodia. PLoS Negl Trop Dis 10: e0004699.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Lima MM et al., 2012. Investigation of Chagas disease in four periurban areas in northeastern Brazil: Epidemiologic survey in man, vectors, non-human hosts and reservoirs. Trans R Soc Trop Med Hyg 106: 143149.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Rogier E et al., 2019. High-throughput malaria serosurveillance using a one-step multiplex bead assay. Malar J 18: 402.

  • 17.

    Rogier E , Moss DM , Chard AN , Trinies V , Doumbia S , Freeman MC , Lammie PJ , 2017. Evaluation of immunoglobulin G responses to Plasmodium falciparum and Plasmodium vivax in Malian school children using multiplex bead assay. Am J Trop Med Hyg 96: 312318.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Yufenyuy EL et al., 2022. Development of a bead-based multiplex assay for use in multianalyte screening and surveillance of HIV, viral hepatitis, syphilis, and herpes. J Clin Microbiol 60: e0234821.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Rogier E et al., 2022. Adaptation to a multiplex bead assay and seroprevalence to Rift Valley Fever N protein: Nampula Province, Mozambique, 2013–2014. J Virol 96: e0067222.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Bailly S et al., 2021. Spatial distribution and burden of emerging arboviruses in French Guiana. Viruses 13: 1299.

  • 21.

    Gwyn S et al., 2022. Performance of SARS-CoV-2 antigens in a multiplex bead assay for integrated serological surveillance of neglected tropical and other diseases. Am J Trop Med Hyg 107: 260267.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Saboyá-Díaz M-I , Castellanos LG , Morice A , Ade MP , Rey-Benito G , Cooley GM , Scobie HM , Wiegand RE , Coughlin MM , Martin DL , 2023. Lessons learned from the implementation of integrated serosurveillance of communicable diseases in the Americas. Rev Panam Salud Publica 47: e53.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Njenga SM , Kanyi HM , Arnold BF , Matendechero SH , Onsongo JK , Won KY , Priest JW , 2020. Integrated cross-sectional multiplex serosurveillance of IgG antibody responses to parasitic diseases and vaccines in coastal Kenya. Am J Trop Med Hyg 102: 164176.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Arzika AM et al., 2022. Effect of biannual azithromycin distribution on antibody responses to malaria, bacterial, and protozoan pathogens in Niger. Nat Commun 13: 976.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Feldstein LR et al., 2020. Vaccination coverage survey and seroprevalence among forcibly displaced Rohingya children, Cox’s Bazar, Bangladesh, 2018: A cross-sectional study. PLoS Med 17: e1003071.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Cooley GM et al., 2021. No serological evidence of trachoma or yaws among residents of registered camps and makeshift settlements in Cox’s Bazar, Bangladesh. Am J Trop Med Hyg 104: 20312037.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Pan American Health Organization , 2020. Multiplex Bead Assay for Integrated Serological Surveillance of Communicable Diseases in the Region of the Americas. Report of the Third Regional Meeting (Cuernavaca, 4 5 March 2020).

    • PubMed
    • Export Citation
  • 28.

    Pan American Health Organization , 2022. Toolkit for Integrated Serosurveillance of Communicable Diseases in the Americas. Available at: https://www.paho.org/en/documents/toolkit-integrated-serosurveillance-communicable-diseases-americas. Accessed May 1, 2024.

    • PubMed
    • Export Citation
  • 29.

    Wiens KE et al., 2022. Building an integrated serosurveillance platform to inform public health interventions: Insights from an experts’ meeting on serum biomarkers. PLoS Negl Trop Dis 16: e0010657.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Salje H , Paul KK , Paul R , Rodriguez-Barraquer I , Rahman Z , Alam MS , Rahman M , Al-Amin HM , Heffelfinger J , Gurley E , 2019. Nationally-representative serostudy of dengue in Bangladesh allows generalizable disease burden estimates. eLife 8: e42869.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Basto-Abreu A et al., 2022. Nationally representative SARS-CoV-2 antibody prevalence estimates after the first epidemic wave in Mexico. Nat Commun 13: 589.

  • 32.

    Murhekar MV et al., 2022. Evaluating the effect of measles and rubella mass vaccination campaigns on seroprevalence in India: A before-and-after cross-sectional household serosurvey in four districts, 2018–2020. Lancet Glob Health 10: e1655e1664.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Plucinski MM et al., 2018. Multiplex serology for impact evaluation of bed net distribution on burden of lymphatic filariasis and four species of human malaria in northern Mozambique. PLoS Negl Trop Dis 12: e0006278.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Oguttu D et al., 2014. Serosurveillance to monitor onchocerciasis elimination: The Ugandan experience. Am J Trop Med Hyg 90: 339345.

  • 35.

    Carcelen A , Kong A , Hegde S , Takahashi S , Moss W , 2023. Serosurveillance Summit Meeting Report. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health International Vaccine Access Center.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Turner HC , Wills BA , Rahman M , Quoc Cuong H , Thwaites GE , Boni MF , Clapham HE , 2018. Projected costs associated with school-based screening to inform deployment of Dengvaxia: Vietnam as a case study. Trans R Soc Trop Med Hyg 112: 369377.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Donnici C , Ilincic N , Cao C , Zhang C , Deveaux G , Clifton D , Buckeridge D , Bobrovitz N , Arora RK , 2022. Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance. Epidemics 41: 100645.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Fink RV et al., 2022. How do we…form and coordinate a national serosurvey of SARS-CoV-2 within the blood collection industry? Transfus (Paris) 62: 13211333.

  • 39.

    Lammie PJ , Moss DM , Brook Goodhew E , Hamlin K , Krolewiecki A , West SK , Priest JW , 2012. Development of a new platform for neglected tropical disease surveillance. Int J Parasitol 42: 797800.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40.

    Murhekar MV et al., 2020. Hepatitis-B virus infection in India: Findings from a nationally representative serosurvey, 2017–18. Int J Infect Dis 100: 455460.

  • 41.

    Knezevic I , Mattiuzzo G , Page M , Minor P , Griffiths E , Nuebling M , Moorthy V , 2022. WHO international standard for evaluation of the antibody response to COVID-19 vaccines: Call for urgent action by the scientific community. Lancet Microbe 3: e235e240.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42.

    den Hartog G , van Binnendijk R , Buisman A-M , Berbers GAM , van der Klis FRM , 2020. Immune surveillance for vaccine-preventable diseases. Expert Rev Vaccines 19: 327339.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Hoes J , Knol MJ , Mollema L , Buisman A , de Melker HE , van der Klis FRM , 2019. Comparison of antibody response between boys and girls after infant and childhood vaccinations in The Netherlands. Vaccine 37: 45044510.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Swarthout TD et al., 2022. Waning of antibody levels induced by a 13-valent pneumococcal conjugate vaccine, using a 3 + 0 schedule, within the first year of life among children younger than 5 years in Blantyre, Malawi: An observational, population-level, serosurveillance study. Lancet Infect Dis 22: 17371747.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45.

    Scobie HM et al., 2017. Tetanus immunity gaps in children 5–14 years and men ≥ 15 years of age revealed by integrated disease serosurveillance in Kenya, Tanzania, and Mozambique. Am J Trop Med Hyg 96: 415420.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    Arnold BF , Kanyi H , Njenga SM , Rawago FO , Priest JW , Secor WE , Lammie PJ , Won KY , Odiere MR , 2020. Fine-scale heterogeneity in Schistosoma mansoni force of infection measured through antibody response. Proc Natl Acad Sci USA 117: 2317423181.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47.

    Iriemenam NC et al., 2023. Comparison of one single-antigen assay and three multi-antigen SARS-CoV-2 IgG assays in Nigeria. J Clin Virol Plus 3: 100139.

  • 48.

    Steinhardt LC et al., 2021. Cross-reactivity of two SARS-CoV-2 serological assays in a setting where malaria is endemic. J Clin Microbiol 59: e0051421.

  • 49.

    Herman C et al., 2023. Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018. Nat Commun 14: 1360.

Author Notes

Financial support: This work was supported by the Bill and Melinda Gates Foundation (INV-056115). The funding source provided guidance in the conceptualization of the meeting.

Disclosures: The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the CDC. The authors alone are responsible for the views expressed in this publication, and they do not necessarily represent the decisions or policies of the Pan American Health Organization.

Conflicts of interest: M. I. Saboyá-Díaz is a staff member of the Pan American Health Organization. N. Wolter has received grant funding from the U.S. CDC, the Bill and Melinda Gates Foundation, and Sanofi Pasteur.

Current contact information: Andrea C. Carcelen and Alex C. Kong, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, E-mails: acarcel1@jh.eduand and akong4@jhu.edu. Saki Takahashi, Sonia Hegde, Natalya Kostandova, Emily S. Gurley, and Amy Wesolowski, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, E-mails: saki.takahashi@jhu.edu, shegde@jhu.edu, nkostan1@jhmi.edu, egurley1@jhu.edu, and awesolowski@jhu.edu. Thomas Jaenisch, May Chu, and Rosemary Rochford, Colorado School of Public Health Aurora, CO, E-mails: thomas.jaenisch@cuanschutz.edu, may.chu@cuanschutz.edu, and rosemary.rochford@cuanschutz.edu. Andrew S. Azman, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, and Geneva University Hospitals, Geneva, Switzerland, E-mail: azman@jhu.edu. Fiona R. M. van der Klis, Center for Infectious Disease Control National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, E-mail: fiona.van.der.klis@rivm.nl. Gerco den Hartog, Center for Infectious Disease Control National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, and Laboratory of Medical Immunology, Radboud UMC, Nijmegen, The Netherlands, E-mail: gerco.den.hartog@rivm.nl. Christopher Drakeley, London School of Hygiene and Tropical Medicine, London, United Kingdom, E-mail: chris.drakeley@lshtm.ac.uk. Christopher D. Heaney, Environmental Health and Engineering Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, E-mail: cheaney1@jhu.edu. Amy K. Winter, University of Georgia, Athens, GA, E-mail: awinter@uga.edu. Henrik Salje, Department of Genetics, University of Cambridge, Cambridge, United Kingdom, E-mail: hs743@cam.ac.uk. Isabel Rodriguez-Barraquer, Department of Medicine, University of California, San Francisco, CA, E-mail: isabel.rodriguez@ucsf.edu. Daniel T. Leung, Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT, E-mail: daniel.leung@utah.edu. Sammy M. Njenga, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya, E-mail: snjenga@kemri.go.ke. Eunice Wangeci Kagucia, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya, E-mail: ekagucia@kemri-wellcome.org. Kondwani C. Jambo, Malawi-Liverpool-Wellcome Programme (MLW), Blantyre, Malawi, and Liverpool School of Tropical Medicine, Liverpool, United Kingdom, E-mail: kjambo@mlw.mw. Nicole Wolter, Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa, and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa, E-mail: nicolew@nicd.ac.za. Richelle C. Charles, Massachusetts General Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Boston, MA, E-mail: rcharles@mgh.harvard.edu. Martha-Idalí Saboyá-Díaz, Department of Communicable Diseases Prevention, Control, and Elimination, Pan American Health Organization, Washington, DC, E-mail: saboyama@paho.org. Diana L. Martin, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, E-mail: hzx3@cdc.gov. William J. Moss, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, E-mail: wmoss1@jhu.edu.

Address correspondence to Andrea C. Carcelen, Johns Hopkins Bloomberg School of Public Health, 415 N. Washington St., Floor 5, Baltimore, MD 21224. E-mail: acarcel1@jhmi.edu
  • Figure 1.

    A framework depicting key steps for establishing a sustainable integrated serosurveillance system. The steps correspond with the six working groups, except for using data for program action, which is part of the sustainable implementation working group.

  • 1.

    World Health Organization , 2023. Defining Collaborative Surveillance: A Core Concept for Strengthening the Global Architecture for Health Emergency Preparedness, Response, and Resilience (HEPR). Geneva, Switzerland: WHO.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Archer BN et al., 2023. Defining collaborative surveillance to improve decision making for public health emergencies and beyond. Lancet 401: 18311834.

  • 3.

    Arnold BF , Scobie HM , Priest JW , Lammie PJ , 2018. Integrated serologic surveillance of population immunity and disease transmission. Emerg Infect Dis 24: 11881194.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Arora RK et al., 2021. SeroTracker: A global SARS-CoV-2 seroprevalence dashboard. Lancet Infect Dis 21: e75e76.

  • 5.

    Elshal MF , McCoy JP , 2006. Multiplex bead array assays: Performance evaluation and comparison of sensitivity to ELISA. Methods 38: 317323.

  • 6.

    Solomon AW et al., 2012. A diagnostics platform for the integrated mapping, monitoring, and surveillance of neglected tropical diseases: Rationale and target product profiles. PLOS Negl Trop Dis 6: e1746.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Dhiman N , Jespersen DJ , Rollins LO , Harring JA , Beito EM , Binnicker MJ , 2010. Detection of IgG-class antibodies to measles, mumps, rubella, and varicella-zoster virus using a multiplex bead immunoassay. Diagn Microbiol Infect Dis 67: 346349.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Hayford K et al., 2019. Measles and rubella serosurvey identifies rubella immunity gap in young adults of childbearing age in Zambia: The added value of nesting a serological survey within a post-campaign coverage evaluation survey. Vaccine 37: 23872393.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    de Voer RM , Schepp RM , Versteegh FGA , van der Klis FRM , Berbers GAM , 2009. Simultaneous detection of Haemophilus influenzae type b polysaccharide-specific antibodies and Neisseria meningitidis serogroup A, C, Y, and W-135 polysaccharide-specific antibodies in a fluorescent-bead-based multiplex immunoassay. Clin Vaccine Immunol 16: 433436.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Mahony J , Chong S , Merante F , Yaghoubian S , Sinha T , Lisle C , Janeczko R , 2007. Development of a respiratory virus panel test for detection of twenty human respiratory viruses by use of multiplex PCR and a fluid microbead-based assay. J Clin Microbiol 45: 29652970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Kim JS et al., 2019. Community-level chlamydial serology for assessing trachoma elimination in trachoma-endemic Niger. PLoS Negl Trop Dis 13: e0007127.

  • 12.

    Martin DL et al., 2015. Serology for trachoma surveillance after cessation of mass drug administration. PLoS Negl Trop Dis 9: e0003555.

  • 13.

    Goodhew EB et al., 2014. Longitudinal analysis of antibody responses to trachoma antigens before and after mass drug administration. BMC Infect Dis 14: 216.

  • 14.

    Priest JW et al., 2016. Integration of multiplex bead assays for parasitic diseases into a national, population-based serosurvey of women 15–39 years of age in Cambodia. PLoS Negl Trop Dis 10: e0004699.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Lima MM et al., 2012. Investigation of Chagas disease in four periurban areas in northeastern Brazil: Epidemiologic survey in man, vectors, non-human hosts and reservoirs. Trans R Soc Trop Med Hyg 106: 143149.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Rogier E et al., 2019. High-throughput malaria serosurveillance using a one-step multiplex bead assay. Malar J 18: 402.

  • 17.

    Rogier E , Moss DM , Chard AN , Trinies V , Doumbia S , Freeman MC , Lammie PJ , 2017. Evaluation of immunoglobulin G responses to Plasmodium falciparum and Plasmodium vivax in Malian school children using multiplex bead assay. Am J Trop Med Hyg 96: 312318.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Yufenyuy EL et al., 2022. Development of a bead-based multiplex assay for use in multianalyte screening and surveillance of HIV, viral hepatitis, syphilis, and herpes. J Clin Microbiol 60: e0234821.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Rogier E et al., 2022. Adaptation to a multiplex bead assay and seroprevalence to Rift Valley Fever N protein: Nampula Province, Mozambique, 2013–2014. J Virol 96: e0067222.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Bailly S et al., 2021. Spatial distribution and burden of emerging arboviruses in French Guiana. Viruses 13: 1299.

  • 21.

    Gwyn S et al., 2022. Performance of SARS-CoV-2 antigens in a multiplex bead assay for integrated serological surveillance of neglected tropical and other diseases. Am J Trop Med Hyg 107: 260267.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Saboyá-Díaz M-I , Castellanos LG , Morice A , Ade MP , Rey-Benito G , Cooley GM , Scobie HM , Wiegand RE , Coughlin MM , Martin DL , 2023. Lessons learned from the implementation of integrated serosurveillance of communicable diseases in the Americas. Rev Panam Salud Publica 47: e53.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Njenga SM , Kanyi HM , Arnold BF , Matendechero SH , Onsongo JK , Won KY , Priest JW , 2020. Integrated cross-sectional multiplex serosurveillance of IgG antibody responses to parasitic diseases and vaccines in coastal Kenya. Am J Trop Med Hyg 102: 164176.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Arzika AM et al., 2022. Effect of biannual azithromycin distribution on antibody responses to malaria, bacterial, and protozoan pathogens in Niger. Nat Commun 13: 976.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Feldstein LR et al., 2020. Vaccination coverage survey and seroprevalence among forcibly displaced Rohingya children, Cox’s Bazar, Bangladesh, 2018: A cross-sectional study. PLoS Med 17: e1003071.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Cooley GM et al., 2021. No serological evidence of trachoma or yaws among residents of registered camps and makeshift settlements in Cox’s Bazar, Bangladesh. Am J Trop Med Hyg 104: 20312037.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Pan American Health Organization , 2020. Multiplex Bead Assay for Integrated Serological Surveillance of Communicable Diseases in the Region of the Americas. Report of the Third Regional Meeting (Cuernavaca, 4 5 March 2020).

    • PubMed
    • Export Citation
  • 28.

    Pan American Health Organization , 2022. Toolkit for Integrated Serosurveillance of Communicable Diseases in the Americas. Available at: https://www.paho.org/en/documents/toolkit-integrated-serosurveillance-communicable-diseases-americas. Accessed May 1, 2024.

    • PubMed
    • Export Citation
  • 29.

    Wiens KE et al., 2022. Building an integrated serosurveillance platform to inform public health interventions: Insights from an experts’ meeting on serum biomarkers. PLoS Negl Trop Dis 16: e0010657.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30.

    Salje H , Paul KK , Paul R , Rodriguez-Barraquer I , Rahman Z , Alam MS , Rahman M , Al-Amin HM , Heffelfinger J , Gurley E , 2019. Nationally-representative serostudy of dengue in Bangladesh allows generalizable disease burden estimates. eLife 8: e42869.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Basto-Abreu A et al., 2022. Nationally representative SARS-CoV-2 antibody prevalence estimates after the first epidemic wave in Mexico. Nat Commun 13: 589.

  • 32.

    Murhekar MV et al., 2022. Evaluating the effect of measles and rubella mass vaccination campaigns on seroprevalence in India: A before-and-after cross-sectional household serosurvey in four districts, 2018–2020. Lancet Glob Health 10: e1655e1664.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Plucinski MM et al., 2018. Multiplex serology for impact evaluation of bed net distribution on burden of lymphatic filariasis and four species of human malaria in northern Mozambique. PLoS Negl Trop Dis 12: e0006278.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Oguttu D et al., 2014. Serosurveillance to monitor onchocerciasis elimination: The Ugandan experience. Am J Trop Med Hyg 90: 339345.

  • 35.

    Carcelen A , Kong A , Hegde S , Takahashi S , Moss W , 2023. Serosurveillance Summit Meeting Report. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health International Vaccine Access Center.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Turner HC , Wills BA , Rahman M , Quoc Cuong H , Thwaites GE , Boni MF , Clapham HE , 2018. Projected costs associated with school-based screening to inform deployment of Dengvaxia: Vietnam as a case study. Trans R Soc Trop Med Hyg 112: 369377.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Donnici C , Ilincic N , Cao C , Zhang C , Deveaux G , Clifton D , Buckeridge D , Bobrovitz N , Arora RK , 2022. Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance. Epidemics 41: 100645.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Fink RV et al., 2022. How do we…form and coordinate a national serosurvey of SARS-CoV-2 within the blood collection industry? Transfus (Paris) 62: 13211333.

  • 39.

    Lammie PJ , Moss DM , Brook Goodhew E , Hamlin K , Krolewiecki A , West SK , Priest JW , 2012. Development of a new platform for neglected tropical disease surveillance. Int J Parasitol 42: 797800.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40.

    Murhekar MV et al., 2020. Hepatitis-B virus infection in India: Findings from a nationally representative serosurvey, 2017–18. Int J Infect Dis 100: 455460.

  • 41.

    Knezevic I , Mattiuzzo G , Page M , Minor P , Griffiths E , Nuebling M , Moorthy V , 2022. WHO international standard for evaluation of the antibody response to COVID-19 vaccines: Call for urgent action by the scientific community. Lancet Microbe 3: e235e240.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42.

    den Hartog G , van Binnendijk R , Buisman A-M , Berbers GAM , van der Klis FRM , 2020. Immune surveillance for vaccine-preventable diseases. Expert Rev Vaccines 19: 327339.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Hoes J , Knol MJ , Mollema L , Buisman A , de Melker HE , van der Klis FRM , 2019. Comparison of antibody response between boys and girls after infant and childhood vaccinations in The Netherlands. Vaccine 37: 45044510.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Swarthout TD et al., 2022. Waning of antibody levels induced by a 13-valent pneumococcal conjugate vaccine, using a 3 + 0 schedule, within the first year of life among children younger than 5 years in Blantyre, Malawi: An observational, population-level, serosurveillance study. Lancet Infect Dis 22: 17371747.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45.

    Scobie HM et al., 2017. Tetanus immunity gaps in children 5–14 years and men ≥ 15 years of age revealed by integrated disease serosurveillance in Kenya, Tanzania, and Mozambique. Am J Trop Med Hyg 96: 415420.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    Arnold BF , Kanyi H , Njenga SM , Rawago FO , Priest JW , Secor WE , Lammie PJ , Won KY , Odiere MR , 2020. Fine-scale heterogeneity in Schistosoma mansoni force of infection measured through antibody response. Proc Natl Acad Sci USA 117: 2317423181.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47.

    Iriemenam NC et al., 2023. Comparison of one single-antigen assay and three multi-antigen SARS-CoV-2 IgG assays in Nigeria. J Clin Virol Plus 3: 100139.

  • 48.

    Steinhardt LC et al., 2021. Cross-reactivity of two SARS-CoV-2 serological assays in a setting where malaria is endemic. J Clin Microbiol 59: e0051421.

  • 49.

    Herman C et al., 2023. Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018. Nat Commun 14: 1360.

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