Evidence map›Paper›PMID 41100510›Full record

ArticlePloS one2025

Integration of mathematical modeling and economics approaches to evaluate strategies for control of Salmonella Dublin in a heifer-raising operation.

Sebastian Llanos-Soto, Martin Wiedmann, Aaron Adalja, Christopher Henry, Paolo Moroni, Elisha Frye, Francisco A Leal Yepes, Renata Ivanek

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sebastian Llanos-SotoDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.ORCID https://orcid.org/0000-0003-0110-041X
Martin WiedmannDepartment of Food Science, Cornell University, Ithaca, New York, United States of America.ORCID https://orcid.org/0000-0002-4168-5662
Aaron AdaljaSchool of Hotel Administration, Cornell University, Ithaca, New York, United States of America.
Christopher HenryDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.
Paolo MoroniDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.
Elisha FryeDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.
Francisco A Leal YepesDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.
Renata IvanekDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonella Dublin infections in heifer-raising operations (HROs) cause animal health and economic losses for these operations and represent a pathogen source for dairy farms obtaining replacement heifers from HROs. To improve control of S. Dublin, we (i) developed a mathematical model of S. Dublin transmission on a HRO, (ii) evaluated the vaccine effectiveness and cleaning improvements for controlling the infection, and (iii) evaluated the influence of infection and control strategies on the HRO's operating income. We developed a modified Susceptible-Infected-Recovered-Susceptible model of S. Dublin spread in a batch-stocking HRO post-introduction of an index case, with stochasticity introduced through Monte Carlo simulations. Epidemiological outcomes (S. Dublin-induced deaths and abortions during raising and S. Dublin carriers and asymptomatic infections among raised replacement heifers) and operating income per 100-head raised on a HRO over a 2-year simulation were compared between control scenarios. We validated our model against S. Dublin infection data in cattle. Partial rank correlation coefficient analysis and classification trees were used to determine parameter influence on model outcomes. Our model predicts a median of 37 carriers and 92 asymptomatic infections among raised replacement heifers out of 2,330 heifers that departed the operation by the end of the 2-year simulation period, suggesting a relevant role of HROs in spreading S. Dublin. Increasing barn floor cleaning frequency (to a maximum of 12x per day) meaningfully reduced the S. Dublin epidemiological outcomes and improved the HRO's operating income. Depending on the cost of cleaning, the median operating income increased between 1.2% to 10.6% in the first year when cleaning 12x per day compared to baseline (cleaning 1x per week). In most cost scenarios, predictions do not support using a vaccine that solely reduces mortality, even when paired with stringent cleaning measures. The developed model is expected to aid efforts to control S. Dublin in HROs.

Indexed as

Cattle DiseasesModels, TheoreticalSalmonellaSalmonella Infections, AnimalAnimalsCattleDairyingFemale

Identifiers

PMID41100510
PMCPMC12530588

What Socratic holds

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LicenceCC BY
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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 Socratic graph.