Evidence map›Paper›PMID 31898483›Full record

ArticleEnvironmental health and preventive medicine2020

Spatial-temporal distribution of human brucellosis in mainland China from 2004 to 2017 and an analysis of social and environmental factors.

Cheng Peng, Yan-Jun Li, De-Sheng Huang, Peng Guan

Abstract read
In one paragraph

Article in Environmental health and preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Dynamic Modeling of Prevention and Control ofTransboundary and emerging diseases · 2025
    Pooled it
  2. Article
  3. Distribution and epidemiology of brucellosis in China.Veterinary research communications · 2026
    Review
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  16. A scoping review on the epidemiology and public significance ofOne health (Amsterdam, Netherlands) · 2024
    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

4 authors.

Cheng PengDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Yan-Jun LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
De-Sheng HuangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
Peng GuanDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. pguan@cmu.edu.cn.ORCID http://orcid.org/0000-0003-0190-7301

Funding

National Natural Science Foundation of China 71573275 and 71974199Science Foundation of Liaoning Provincial Department of Education LFWK201719
6 · The paper itself

Abstract

backgroundThis study aimed to describe the changing distribution of human brucellosis between 2004 and 2017 in mainland China and seek scientific evidence of the relationship between socio-economic, environmental, and ecological factors and human brucellosis incidence.

methodsThe annual numbers of brucellosis cases and incidence rates from 31 provinces in mainland China between 2004 and 2017 were obtained from the Data-Center for China Public Health Science. The number of monthly brucellosis cases in 2018 was obtained from the Chinese Center for Disease Control and Prevention. The electronic map of the People's Republic of China was downloaded from the National Earth System Science Data Sharing Platform. Human population density, gross domestic product (GDP), and an inventory of cattle and sheep at the end of each year from 2004 to 2017 were obtained from the National Bureau of Statistics of China. Annual rainfall data from 31 provinces in the People's Republic of China from 2004 to 2017 were collected from the China Meteorological Data Service Center. The risk distribution and changing trends of human brucellosis were mapped with ArcGIS. A cluster analysis was employed to identify geographical areas and periods with statistically significant incidence rates. Multivariate linear regression was used to determine possible factors that were significantly correlated with the presence of human brucellosis cases.

resultsHuman brucellosis cases have spread throughout the whole country. Human brucellosis cases occurred mostly from March to August and were concentrated from April to July. The inventory of sheep, GDP, and climate were significantly correlated with the presence of brucellosis cases in mainland China.

conclusionsThe geographical expansion of human brucellosis in mainland China was observed, so did the high-incidence clusters between 2004 and 2017. Most of the cases were reported during the early spring to early summer (February-August). Results from the multivariate linear regression suggested that the inventory of sheep, GDP, and climate were significantly associated with the incidence of human brucellosis in mainland China.

Indexed as

BrucellosisChinaCluster AnalysisEnvironmentHumansPublic HealthRisk FactorsSeasonsSpatio-Temporal AnalysisCluster analysisHuman brucellosisSpatial-temporal distribution

Identifiers

PMID31898483
PMCPMC6941396

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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.