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Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014

Overview of attention for article published in BMC Infectious Diseases, May 2016
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Title
Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014
Published in
BMC Infectious Diseases, May 2016
DOI 10.1186/s12879-016-1547-6
Pubmed ID
Authors

Haikun Qian, Da Huo, Xiaoli Wang, Lei Jia, Xitai Li, Jie Li, Zhiyong Gao, Baiwei Liu, Yi Tian, Xiaona Wu, Quanyi Wang

Abstract

The incidence of hand, foot, and mouth disease (HFMD) is extremely high, and has constituted a huge disease burden throughout Beijing in recent years. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of HFMD. Descriptive statistics was used to analyze the data and estimate the epidemic peaks in 2009-2014. Space-time scanning detected spatiotemporal clusters and identified high-risk locations. Global and local Moran's I statistics were used to measure the spatial autocorrelation. Geocoding was performed in ArcGIS, based on the present address codes of the patients and the centroids of the towns. Maps were created in ArcGIS to show the geographic spread of HFMD. In total, 220,451probable cases of HFMD were reported in Beijing between January 2009 and December 2014: 12,749 (5.78 %) were laboratory confirmed, and 35 (0.02 %) were fatal. The median age of reported cases was 3.12 years (interquartile range 1.96-4.39). Coxsackievirus A16 (CV-A16), enterovirus 71 (EV-A71), and other enteroviruses accounted for 39.31, 35.36, and 25.33 % of the 12,749 confirmed cases, respectively. Many more severe cases were caused by EV-A71 (χ (2) = 186.41, df = 1, P < 0.001) and other enteroviruses (χ (2) = 156.44, df = 1, P < 0.001) than by CV-A16. A large single distinct peak occurred between May and July each year. Spatiotemporal clusters of HFMD were identified in Beijing during 2009-2014. The most likely clusters were detected and tended to move from the southwest (Fengtai and Daxing) southeastwards to Daxing and Tongzhou in 2009-2014. The incidence of HFMD was not randomly distributed, but showed global and local spatial autocorrelations. There were obvious spatiotemporal clusters of HFMD in Beijing in 2009-2014. High-incidence areas mainly occurred at the junctions of urban and rural zones. More attention should be paid to the epidemiological and spatiotemporal characteristics of HFMD to establish new strategies for its control. Health issues should be especially promoted in kindergartens and at urban-rural junctions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Master 2 6%
Other 5 16%
Unknown 10 32%
Readers by discipline Count As %
Computer Science 3 10%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 3 10%
Nursing and Health Professions 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 5 16%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from BMC Infectious Diseases
#6,480
of 7,689 outputs
Outputs of similar age
#279,992
of 326,829 outputs
Outputs of similar age from BMC Infectious Diseases
#131
of 156 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.