Evidence map›Paper›PMID 36777766›Full record

ArticleFrontiers in public health2022

Exploring risk transfer of human brucellosis in the context of livestock agriculture transition: A case study in Shaanxi, China.

Cuihong An, Li Shen, Minghao Sun, Yangxin Sun, Suoping Fan, Chenxi Zhao, Shoumin Nie, Boyan Luo, Ting Fu, Kun Liu and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Cuihong AnDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.
Li ShenSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Minghao SunSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Yangxin SunDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.
Suoping FanDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.
Chenxi ZhaoDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.
Shoumin NieDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.
Boyan LuoDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.
Ting FuDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.
Kun LiuDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.
Zhongjun ShaoDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.
WenHui ChangDepartment of Plague and Brucellosis, Shaanxi Center for Disease Control and Prevention, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the booming of worldwide agriculture intensification, brucellosis, one of the most neglected zoonotic diseases, has become an increasing challenge for global public health. Although the transmission patterns of human brucellosis (HB) have been studied in many regions, the dynamic transfer processes of risk and its driving factors remain poorly understood, especially in the context of agricultural intensification. This study attempted to explore the risk transfer of HB between the exact epidemic areas and the neighboring or distant low-risk areas to explain the impact of livestock agriculture intensification and foodborne infections on the transmission of HB in Shaanxi Province as a case study. We adopted multiple approaches, including test-based methods, model-based methods, and a geographical detector to detect the spatial-temporal dynamic changes of high-risk epidemic areas of HB at the county scale. We also quantitatively estimated how the related factors drove the risk transfer of the disease. Results confirmed the risk transfer pattern of HB with an expansion from north to south in Shaanxi Province and identified two primary transfer routes. In particular, in the traditional epidemic areas of the Shaanbei plateau, the farm agglomeration effect can significantly increase the risk of HB. Meanwhile, retail outlets for milk and dairy products were partially responsible for the foodborne infections of HB in the emerging epidemic areas of Xi'an. This study not only contributed helpful insights to support HB control and prevention in the rapid transition of livestock agriculture but also provided possible directions for further research on foodborne HB infections in urbanized areas.

Indexed as

BrucellosisLivestockAgricultureAnimalsChinaHumansZoonosesagricultural intensificationfoodborne infectiongeographical detectorhuman brucellosismodel-based methodstest-based methods

Identifiers

PMID36777766
PMCPMC9911661

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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.