ArticleRisk analysis : an official publication of the Society for Risk Analysis2024
Research gaps and priorities for quantitative microbial risk assessment (QMRA).
Article in Risk analysis : an official publication of the Society for Risk Analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology.iScience · 2026Review
- Quantitative Microbial Risk Assessment of Human H5N1 Infection From Consumption of Fluid Cow's Milk.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Quantitative microbial risk assessment of human H5N1 infection from consumption of fluid cow's milk.medRxiv : the preprint server for health sciences · 2026Article
- A case for monitoring fungi of clinical relevance at beaches: enterococci measures do not correlate with all disease risks.Environmental monitoring and assessment · 2026Article
- Mixed-species biofilms in food systems: from community assembly to ecology-informed management.Frontiers in microbiology · 2026Review
- Deliberating the scientific evidence base for influenza transmission to raw milk consumers.Risk analysis : an official publication of the Society for Risk Analysis · 2025Review
- Towards the integration of antibiotic resistance gene mobility into environmental surveillance and risk assessment.npj antimicrobials and resistance · 2025Review
- Advancing microbial risk assessment: perspectives from the evolution of detection technologies.NPJ science of food · 2025Review
- School-informed risk calculator tool for reducing the spread of respiratory viral infection among school-aged children.Indoor environments · 2025Article
- Moving Beyond the Silos of Opportunistic Pathogen and Disinfection Byproduct Research to Improve Drinking Water System Management.Environmental science & technology · 2025Review
- Virulence and infectious assessment of aMicrobiology spectrum · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
44 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.