Evidence map›Paper›PMID 30451894›Full record

ArticleScientific reports2018

Spatio-temporal cluster and distribution of human brucellosis in Shanxi Province of China between 2011 and 2016.

Ting Wang, Xiang Wang, Ping Tie, Yongfei Bai, Yuhua Zheng, Changfu Yan, Zhikai Chai, Jing Chen, Huaxiang Rao, Lingjia Zeng and 2 more

Abstract readHistorical Article
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Epidemiological Characteristics and Spatiotemporal Trend Analysis of Human Brucellosis in China, 1950-2018.International journal of environmental research and public health · 2020
    Article
  14. 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

12 authors.

Ting WangShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Xiang WangChina Railway Taiyuan Group Center for Disease Control and Prevention, Disease Control Division, Taiyuan, 030000, China.
Ping TieShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Yongfei BaiShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Yuhua ZhengShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Changfu YanShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Zhikai ChaiShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Jing ChenShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China.
Huaxiang RaoQinghai Center for Disease Control and Prevention, Institute for Communicable Disease Control and Prevention, Xining, 810007, China.
Lingjia ZengChina Center for Disease Control and Prevention, Beijing, 102206, China.
Limin ChenShanxi Center for Disease Control and Prevention, Taiyuan, 030012, China. sxchenlimin@163.com.
Lixia QiuShanxi Medical University, School of Public Health, Taiyuan, 030001, China. qlx_1126@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the incidence of human brucellosis (HB) in the Shanxi province has ranked to be the top five among the 31 China provinces. HB data in Shanxi province between 2011 and 2016 were collected from the Centers for Disease Control and Prevention. Spatial and temporal distribution of HB was evaluated using spatial autocorrelation analysis and space-time scan analysis. The global Moran's I index ranged from 0.37 to 0.50 between 2011 and 2016 (all P < 0.05), and the "high-high" clusters of HB were located at the northern Shanxi, while the "low-low" clusters in the central and southeastern Shanxi. The high-incidence time interval was between March and July with a 2-fold higher risk of HB compared to the other months in the same year. One most likely cluster and three secondary clusters were identified. The radius of the most likely cluster region was 158.03 km containing 10,051 HB cases. Compared to the remaining regions, people dwelling in the most likely region were reported 4.50-fold ascended risk of incident HB. HB cases during the high-risk time interval of each year were more likely to be younger, to be males or to be farmers or herdsman than that during the low-risk time interval. The HB incidence had a significantly high correlation with the number of the cattle or sheep especially in the northern Shanxi. HB in Shanxi showed unique spatio-temporal clustering. Public health concern for HB in Shanxi should give priority to the northern region especially between the late spring and early summer.

Indexed as

BrucellosisChinaCluster AnalysisFemaleHistory, 21st CenturyHumansIncidenceMaleRisk Factors

Identifiers

PMID30451894
PMCPMC6242928

What OpenQuestion holds

Textmetadata
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.