Evidence map›Paper›PMID 41026800›Full record

ArticlePLoS computational biology2025

Optimization of echinococcosis control measures based on system dynamics.

Jinrui Ma, Xingyu Liu, Zengwen He, Haohao Zhang, Yonghui Ma, Ziqiu Fan, Xuehui Zhao, Ji Zhi, Qing Cao, Huiwen Xue and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Five-Year Slaughterhouse-Based Surveillance ofPathogens (Basel, Switzerland) · 2025
    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

11 authors.

Jinrui MaDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.ORCID 0009-0009-7540-437X
Xingyu LiuDepartment of Applied Statistics, College of Science, Gansu Agricultural University, Lanzhou, China.
Zengwen HeDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Haohao ZhangDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Yonghui MaDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Ziqiu FanDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Xuehui ZhaoDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Ji ZhiDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Qing CaoDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Huiwen XueDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Huitian GouDepartment of Veterinary Public Health, College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.

Funding

2024 Agricultural science and technology support projectModern Silk Road Coldand drought agricultural technology support projectNational Nature Science Foundation of China
6 · The paper itself

Abstract

This study aimed to provide strategies to optimize the prevention and control measures of echinococcosis in Gansu Province. Based on the transmission mechanism of echinococcosis, a System Dynamics (SD) model of echinococcosis in Gansu Province was established using Vensim software. Through this model, parameters such as vaccination coverage, domestic dog deworming coverage, slaughter management level, and health education level were adjusted to predict the changing trends in the number of human cases and infected sheep. The results showed that the number of human cases was most sensitive to the adjustment of health education level, followed by changes to vaccination coverage. The number of infected sheep was most sensitive to the adjustment of vaccination coverage, followed by the adjustment of slaughter management level. Based on these simulation results, the prevention and control measures for echinococcosis in Gansu Province were further optimized. The results showed that if the health education level and the vaccination coverage were increased by 50% and 40%, respectively, based on the current prevention and control levels, the number of human cases would approach zero by approximately 2026. When the vaccination coverage and slaughter management level increased by 60% and 45%, respectively, based on current prevention and control levels, the number of infected sheep would approach zero by approximately 2027. This study applied the SD method to the prevention and control of echinococcosis for the first time, and the results can provide key decision-making recommendations to optimize the prevention and control measures of echinococcosis in Gansu province.

Indexed as

EchinococcosisAnimalsChinaComputational BiologyComputer SimulationDogsHumansSheepSheep DiseasesVaccination

Identifiers

PMID41026800
PMCPMC12483238

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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 OpenQuestion graph.