Research gaps and priorities for quantitative microbial risk assessment (QMRA)

The coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of QMRA; and (3) describing data needs and key scientific efforts to improve the science of QMRA. Key identified research priorities included using molecular tools in QMRA, advancing dose-response methodology, addressing needed exposure assessments, harmonizing environmental monitoring for QMRA, unifying a divide between disease transmission and QMRA models, calibrating and/or validating QMRA models, modeling co-exposures and mixtures, and standardizing practices for incorporating variability and uncertainty throughout the source-to-outcome continuum. Cross-cutting needs identified were to: develop a community of research and practice, integrate QMRA with other scientific approaches, increase QMRA translation and impacts, build communication strategies, and encourage sustainable funding mechanisms. Ultimately, a vision for advancing the science of QMRA is outlined for informing national to global health assessments, controls, and policies.

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Publication Details

Journal
UNC Libraries
Published
2024-11-20
DOI
https://doi.org/10.17615/aqq0-5g70
Citations
2
Primary Topic
Animal testing and alternatives
Type
article
Field-Weighted Citation Impact
1.28
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article

Research gaps and priorities for quantitative microbial risk assessment (QMRA)

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UNC Libraries
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Research gaps and priorities for quantitative microbial risk assessment (QMRA)

Emma Hartnett, Amy Zimmer‐Faust, Julie C. Libarkin, Gertjan Medema, David Oryang, Jeffrey A. Soller, Kerry A. Hamilton, Abani K. Pradhan, E. Owusu-Ansah, Jumana Alja’fari, Patrick L. Gurian, Monica B. Emelko, Amanda M. Wilson, Heather Murphy, Jacqueline MacDonald Gibson, María Tereza Pepe Razzolini, Daniel Gerrity, Alexis L. Mraz, Kara Dean, Timothy R. Julian, Hongwan Li, Mary E. Schoen, Charles Nathan Haas, Joanna Ciol Harrison, Aaron Bivins, Tiong Gim Aw, Kyle J. Bibby, A. Pouyan Nejadhashemi, Rachael M. Jones, Patrick Smeets, Marc P. Verhougstraete, Michael A. Jahne, Jade Mitchell, John Scott Meschke, Clinton F. Williams, Helena M. Solo‐Gabriele, Joan B. Rose, Joe M. Brown, Michael O. Ryan, Mark H. Weir, Gwyneth Dunbar, Emily Pasek, Yanbin Li, Joseph N. S. Eisenberg
article en
2 citations

Abstract

The coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of QMRA; and (3) describing data needs and key scientific efforts to improve the science of QMRA. Key identified research priorities included using molecular tools in QMRA, advancing dose-response methodology, addressing needed exposure assessments, harmonizing environmental monitoring for QMRA, unifying a divide between disease transmission and QMRA models, calibrating and/or validating QMRA models, modeling co-exposures and mixtures, and standardizing practices for incorporating variability and uncertainty throughout the source-to-outcome continuum. Cross-cutting needs identified were to: develop a community of research and practice, integrate QMRA with other scientific approaches, increase QMRA translation and impacts, build communication strategies, and encourage sustainable funding mechanisms. Ultimately, a vision for advancing the science of QMRA is outlined for informing national to global health assessments, controls, and policies.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Zero hunger
Openalex Percentile: Top 19%
Animal testing and alternatives
1.28
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