Evidence map›Paper›PMID 40302758›Full record

SynthesisTransboundary and emerging diseases2025

Dynamic Modeling of Prevention and Control of

Liu Yang, Meng Fan, Youming Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Assessment of immune responses toFrontiers in immunology · 2025
    Article
  8. Article
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

3 authors.

Liu YangEpidemiological Investigation Department, China Animal Health and Epidemiology Center, Qingdao 266032, Shandong, China.ORCID https://orcid.org/0000-0003-0625-5672
Meng FanNational Center for Applied Mathematics in Jilin, Center for Mathematical Biosciences, School of Mathematics and Statistics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, Jilin, China.ORCID https://orcid.org/0000-0002-4596-7093
Youming WangEpidemiological Investigation Department, China Animal Health and Epidemiology Center, Qingdao 266032, Shandong, China.ORCID https://orcid.org/0000-0001-6470-3360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucellosis is a zoonotic infectious disease caused by bacteria of the genus Brucella. In recent years, the prevalence of brucellosis in animals and humans has been increasing in China despite the considerable efforts taken to date. Dynamic model serves as an influential and promising approach for offering guidance and recommendations for the prevention and control of the disease. At this pivotal moment, it is time to provide a comprehensive and timely examination of the existing achievements derived from the mathematical dynamical modeling studies, highlight the key development trends, delve into identifying the limitations of the studies, and offer valuable perspectives and insights for potential future research directions. Through a review of 49 articles (22 articles utilizing data while 27 articles did not use data), this study focuses on analyzing the differences in model structure, research data and areas, characterization of prevention and control measures, and main results. Meanwhile, quantitative results such as the reproduction number and critical parameter values are extracted. The study points out that the limitations of existing models are manifested in the lack of heterogeneity in the research and the absence of the results on the scale of herd/flock. The primary reason is the lack of relevant data, indicating the necessity to advance interdisciplinary, multidisciplinary, and transdisciplinary collaboration across multiple departments. Therefore, it is encouraged that the future models should be established from the holistic approach of One Health.

Indexed as

BrucellosisAnimalsChinaHumansModels, TheoreticalZoonosesbrucellosisdynamic modelmeasure evaluationparameter estimationreproduction number

Identifiers

PMID40302758
PMCPMC12017112

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.