Evidence map›Paper›PMID 42334267›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Quantitative Microbial Risk Assessment of Human H5N1 Infection From Consumption of Fluid Cow's Milk.

Katherine J Koebel, Ece Bulut, Samuel D Alcaine, Aljoša Trmčić, Mohammed Nooruzzaman, Lina M Covaleda, Diego G Diel, Renata Ivanek

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Deliberating the scientific evidence base for influenza transmission to raw milk consumers.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Katherine J KoebelDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.ORCID 0000-0003-4910-2131
Ece BulutDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Samuel D AlcaineDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Aljoša TrmčićDepartment of Food Science, College of Agriculture & Life Sciences, Cornell University, Ithaca, New York, USA.
Mohammed NooruzzamanDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Lina M CovaledaDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Diego G DielDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Renata IvanekDepartment of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Funding

Graduate Training Program in Comparative MedicineT32OD011000 · OD · CORNELL UNIVERSITY · PI Amanda Marjorie DE MESTRE · 2012 to 2026
$5.7M
NIH HHS T32 OD011000NIH HHS T32ODO011000U.S. Department of Agriculture #7010559U.S. Department of Agriculture Hatch#7000433
6 · The paper itself

Abstract

The spillover of H5N1 clade 2.3.4.4b into dairy cattle has raised concerns over the safety of fluid milk. While no foodborne infection has been reported in humans, this strain has infected at least 70 people, and milk from infected cows is known to be infected by ingestion of multiple other species. Investigation into the public health threat of this outbreak is warranted. This farm-to-table quantitative microbial risk assessment (QMRA) uses stochastic models to assess the risk of human infection from consumption of raw and pasteurized fluid cow's milk from the United States supply chains. These models were parameterized with literature emerging from this outbreak and then employed to estimate the H5N1 infection risk and evaluate multiple potential interventions aimed at reducing this risk. The median (5th and 95th percentiles) probabilities of infection per 240-mL serving of pasteurized, farmstore-purchased raw, or retail-purchased raw milk were 7.66E-19 (2.39E-20, 4.02E-17), 1.56E-7 (6.67E-10, 1.28E-5), and 1.40E-7 (6.65E-10, 1.13E-05), respectively. Our results confirm that pasteurization is highly effective at reducing H5N1 infection risk. Scenario analysis revealed quantitative real-time reverse transcriptase-polymerase chain reaction (qrRT-PCR) testing of bulk tank milk to be an effective method for numerically reducing risk from raw milk. In addition, we identify knowledge gaps related to the human H5N1 dose‒response by ingestion and raw milk consumption patterns. These findings emphasize the importance of mechanistic epidemiologic models for informing public health responses amidst outbreaks with foodborne potential and highlight the need for additional research into raw milk consumption patterns to better understand this exposure pathway.

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza, HumanMilkAnimalsCattleFemaleHumansRisk AssessmentUnited Statesdairy cattlefoodborne illnessH5N1milkpublic healthquantitative microbial risk assessment

Identifiers

PMID42334267
PMCPMC13289526

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.