Evidence map›Paper›PMID 33050950›Full record

ArticleInfectious diseases of poverty2020

Human distribution and spatial-temporal clustering analysis of human brucellosis in China from 2012 to 2016.

Pei-Feng Liang, Yuan Zhao, Jian-Hua Zhao, Dong-Feng Pan, Zhong-Qin Guo

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Pei-Feng LiangDepartment of medical record and statistics, People's hospital of Ningxia Hui Autonomous region, Yinchuan, 750004, China.
Yuan ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health and management, Ningxia Medical University, Yinchuan, 750001, China.
Jian-Hua ZhaoNingxia Center for Diseases Prevention and Control, Yinchuan, 750001, China.
Dong-Feng PanDepartment of Emergency, People's hospital of Ningxia Hui Autonomous region, Yinchuan, 750004, China.
Zhong-Qin GuoDepartment of Epidemiology and Biostatistics, School of Public Health and management, Ningxia Medical University, Yinchuan, 750001, China. guozq_ny@163.com.
Ningxia Medical University · CNThe Fourth People's Hospital of Ningxia Hui Autonomous Region · CNNingxia Center for Diseases Prevention and Control · CN

Funding

Basic research project of Northwest University for Nationalities NO. 31920180088Ningxia Provincial Natural Science Foundation NO. NZ17187
6 · The paper itself

Abstract

backgroundBrucellosis is a major public health issue in China, while its temporal and spatial distribution have not been studied in depth. This study aims to better understand the epidemiology of brucellosis in the mainland of China, by investigating the human, temporal and spatial distribution and clustering characteristics of the disease.

methodsHuman brucellosis data from the mainland of China between 2012 and 2016 were obtained from the China Information System for Disease Control and Prevention. The spatial autocorrelation analysis of ArcGIS10.6 and the spatial-temporal scanning analysis of SaTScan software were used to identify potential changes in the spatial and temporal distribution of human brucellosis in the mainland of China during the study period.

resultsA total of 244 348 human brucellosis cases were reported during the study period of 2012-2016. The average incidence of human brucellosis was higher in the 40-65 age group. The temporal clustering analysis showed that the high incidence of brucellosis occurred between March and July. The spatial clustering analysis showed that the location of brucellosis clustering in the mainland of China remained relatively fixed, mainly concentrated in most parts of northern China. The results of the spatial-temporal clustering analysis showed that Heilongjiang represents a primary clustering area, and the Tibet, Shanxi and Hubei provinces represent three secondary clustering areas.

conclusionsHuman brucellosis remains a widespread challenge, particularly in northern China. The clustering analysis highlights potential high-risk human groups, time frames and areas, which may require special plans and resources to monitor and control the disease.

Indexed as

AdolescentAdultAgedAged, 80 and overBrucellosisChildChild, PreschoolChinaCluster AnalysisDemographyHumansInfantMiddle AgedRetrospective StudiesSpatio-Temporal AnalysisYoung AdultChinaClustering analysisGeographic information systemHuman brucellosisSaTScan software

Identifiers

PMID33050950
PMCPMC7557093
OpenAlexW3092551136

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.