Evidence map›Paper›PMID 32216760›Full record

ArticleBMC infectious diseases2020

The spatiotemporal distribution of human brucellosis in mainland China from 2007-2016.

Peifeng Liang, Yuan Zhao, Jianhua Zhao, Dongfeng Pan, Zhongqin Guo

Abstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  11. Spatiotemporal epidemiology of brucellosis in Iran from 2009 to 2018: A mixed ecological study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
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  18. Spatial Effect of Ecological Environmental Factors on Mumps in China during 2014-2018.International journal of environmental research and public health · 2022
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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.

Peifeng 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.
Jianhua ZhaoNingxia Center for Diseases Prevention and Control, Yinchuan, 750001, China.
Dongfeng PanDepartment of Emergency, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750004, China.
Zhongqin GuoDepartment of Epidemiology and Biostatistics, School of Public Health and management, Ningxia Medical University, Yinchuan, 750001, China. guozq_ny@163.com.

Funding

Basic research project of Northwest University for Nationalities 31920180088Ningxia Provincial Natural Science Foundation NZ17187
6 · The paper itself

Abstract

backgroundDespite the considerable efforts made to address the issue of brucellosis worldwide, its prevalence in dairy products continues to be difficult to estimate and represents a key public health issue around the world today. The aim of the present study was to better understand the epidemiology of this disease in mainland China. We set out to investigate the yearly spatial distribution and possible hotspots of the disease.

methodsHuman brucellosis data from mainland China between 2007 and 2016 were collected from the China Information System for Disease Control and Prevention. A geographic information system ArcGIS10.3 (ESRI, Redlands) was used to identify potential changes in the spatial and temporal distribution of human brucellosis in mainland China during the study period. These distributions were evaluated using three-dimensional trend analysis and spatial autocorrelation analyse. A gravity-center was used to analyse the migration track of human brucellosis.

resultsA total of 399,578 cases of human brucellosis were reported during the 10-year study period. The monthly incidence of brucellosis in China demonstrates clear seasonality. Spring and summer are the peak seasons, while May is the peak month for brucellosis. Three-dimensional trend analysis suggests that brucellosis is on the rise from south to north, and that the epidemic situation in northern China is more severe. Between 2007 and 2016, the overall migration distance of the brucellosis incidence gravity-center was 906.43 km, and the direction was southwest. However, the overall gravity center of brucellosis was still in the northern part of China. In the global autocorrelation analysis, brucellosis in China demonstrated a non-random distribution between 2013 and 2014, with spatial autocorrelation (Z > 1.96, P < 0.05) and a clustering trend, while no clustering trend was found from 2007 to 2012 or from 2015 to 2016. In the local autocorrelation analysis, a Low-Low cluster phenomenon was found in the south of China in 2013 and 2014.

conclusionHuman brucellosis remains a widespread challenge, particularly in northern China. The hotspots highlight potential high-risk areas which may require special plans and resources for monitoring and controlling the disease.

Indexed as

BrucellosisChinaCluster AnalysisEpidemicsGeographic Information SystemsHumansIncidenceSeasonsSpatial AnalysisGeographic information systemHuman brucellosisMainland ChinaSpatial autocorrelation analysis

Identifiers

PMID32216760
PMCPMC7099799

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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.