Evidence map›Paper›PMID 41286633›Full record

ArticleBMC infectious diseases2025

Evaluation of non-vaccination brucellosis control strategies in class II regions using a transmission dynamics model: a case study from Hubei Province.

Buasiyamu Abudunaibi, Qi Chen, Jiangshaya Bahati, Xiaoying Zhao, Yao Wang, Jia Rui, Tianmu Chen, Xuhua Guan

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Buasiyamu Abudunaibi *State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Qi Chen *Hubei Provincial Center for Disease Control and Prevention, Wuhan City, Hubei Province, People's Republic of China.
Jiangshaya Bahati *State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Xiaoying ZhaoState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Yao WangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China.
Jia RuiState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China. ruijia5345@163.com.
Tianmu ChenState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, Fujian, China. 13698665@qq.com.
Xuhua GuanHubei Provincial Center for Disease Control and Prevention, Wuhan City, Hubei Province, People's Republic of China. guanxh9999@163.com.

Funding

Hubei Provincial Public Health Leading Talents Project 2021-2025Public Health Leaders Training Support Program supported by National Administration for Disease Control and Prevention 2023-2026
6 · The paper itself

Abstract

objectiveTo develop a transmission dynamics model for brucellosis in Hubei Province and evaluate non-vaccination control strategies.

methodsWe constructed a SsIs-W-ShEhIhCh(Susceptible sheep - Infected sheep - Environmental bacterial load - Susceptible humans - Exposed humans - Acute infected humans - Chronic infected humans) transmission dynamics model and assessed disease transmissibility through R0 calculation. Four intervention measures (environmental disinfection, improved diagnosis, personal protection, and infected sheep management) were evaluated independently and in combination.

resultsModel fitting showed high consistency with reported cases (R²=0.884, p > 0.999). Disease transmission exhibited three phases: high incidence (2014–2016, R0 = 1.86), decline (2020, R0 = 0.69), and rebound (2023 R0 = 1.76). Direct transmission (sheep-to-human) was the primary driver (78.6%-91.5% of R0). Among single interventions, personal protection yielded the greatest case reduction (93.51% case reduction), followed by infected sheep management (91.02%). The combination of these two measures achieved optimal effectiveness (95.98% case reduction).

conclusionBrucellosis transmission in Hubei Province is predominantly driven by direct transmission. Comprehensive control strategies should prioritize personal protection and infected sheep management, supplemented by environmental disinfection and improved diagnosis. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

BrucellosisSheep DiseasesAnimalsChinaEpidemiological ModelsHumansIncidenceSheepZoonosesBrucellosisIntervention measuresTransmission dynamics model

Identifiers

PMID41286633
PMCPMC12750914

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LicenceCC BY-NC-ND
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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.