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Research Article
Human and spatial-temporal clustering analysis of human brucellosis in mainland China from 2012 to 2016
Zhongqin Guo
Chinese Academy of Medical Sciences and Peking Union Medical College
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at Infectious Diseases of Poverty.
Background: Brucellosis is a major public health issue in China, whose epidemiology has not been well studied. This study aims to better understand the epidemiology of brucellosis in mainland China, by investigating the human, temporal and spatial distribution and clustering characteristics of the disease.
Methods: Human brucellosis data from mainland China between 2012 and 2016 were obtained from the China Information System for Disease Control and Prevention. The ArcGIS10.3 (ESRI, Redlands) and SaTScan software were used to identify potential changes in the spatial and temporal distribution of human brucellosis in mainland China during the study period.
Results: A 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 occured between March and July. The spatial clustering analysis showed that the location of brucellosis clustering in mainland 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.
Conclusions: Human 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.
Keywords
Human brucellosis, Mainland China, Clustering analysis, Geographic information system, SaTScan software
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CURRENT STATUS: Published
Version 3
Posted 14 Aug, 2020
Published
On 13 Oct, 2020
No community comments so far
Editorial decision: Accept
On 09 Sep, 2020
Editor assigned
On 12 Aug, 2020
Submission checks complete
On 11 Aug, 2020
Editor invited
On 11 Aug, 2020
No comments provided
Editorial decision: Minor revision
On 30 Jul, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #1 agreed
On 22 Jul, 2020
Reviewers invited
Invitations sent on 17 Jul, 2020
Editor assigned
On 14 Jul, 2020
Submission checks complete
On 13 Jul, 2020
Editor invited
On 13 Jul, 2020
No comments provided
Editorial decision: Major revision
On 09 Jun, 2020
Review #2 received
Received 07 Jun, 2020
Reviewer #2 agreed
On 27 May, 2020
Review #1 received
Received 16 Apr, 2020
Reviewer #1 agreed
On 01 Apr, 2020
Reviewers invited
Invitations sent on 29 Mar, 2020
Editor assigned
On 25 Mar, 2020
Editor invited
On 24 Mar, 2020
Submission checks complete
On 24 Mar, 2020
First submitted
On 23 Mar, 2020
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This preprint is under consideration at Infectious Diseases of Poverty. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Human and spatial-temporal clustering analysis of human brucellosis in mainland China from 2012 to 2016
Zhongqin Guo
Chinese Academy of Medical Sciences and Peking Union Medical College
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 3
Posted 14 Aug, 2020
Published
On 13 Oct, 2020
No community comments so far
Editorial decision: Accept
On 09 Sep, 2020
Editor assigned
On 12 Aug, 2020
Submission checks complete
On 11 Aug, 2020
Editor invited
On 11 Aug, 2020
No comments provided
Editorial decision: Minor revision
On 30 Jul, 2020
Review #1 received
Received 27 Jul, 2020
Reviewer #1 agreed
On 22 Jul, 2020
Reviewers invited
Invitations sent on 17 Jul, 2020
Editor assigned
On 14 Jul, 2020
Submission checks complete
On 13 Jul, 2020
Editor invited
On 13 Jul, 2020
No comments provided
Editorial decision: Major revision
On 09 Jun, 2020
Review #2 received
Received 07 Jun, 2020
Reviewer #2 agreed
On 27 May, 2020
Review #1 received
Received 16 Apr, 2020
Reviewer #1 agreed
On 01 Apr, 2020
Reviewers invited
Invitations sent on 29 Mar, 2020
Editor assigned
On 25 Mar, 2020
Editor invited
On 24 Mar, 2020
Submission checks complete
On 24 Mar, 2020
First submitted
On 23 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at Infectious Diseases of Poverty.
Background: Brucellosis is a major public health issue in China, whose epidemiology has not been well studied. This study aims to better understand the epidemiology of brucellosis in mainland China, by investigating the human, temporal and spatial distribution and clustering characteristics of the disease.
Methods: Human brucellosis data from mainland China between 2012 and 2016 were obtained from the China Information System for Disease Control and Prevention. The ArcGIS10.3 (ESRI, Redlands) and SaTScan software were used to identify potential changes in the spatial and temporal distribution of human brucellosis in mainland China during the study period.
Results: A 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 occured between March and July. The spatial clustering analysis showed that the location of brucellosis clustering in mainland 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.
Conclusions: Human 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.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5