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Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China

Overview of attention for article published in BMC Infectious Diseases, April 2018
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Title
Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China
Published in
BMC Infectious Diseases, April 2018
DOI 10.1186/s12879-018-3071-3
Pubmed ID
Authors

Lin Tian, Fengchao Liang, Meimei Xu, Lei Jia, Xiaochuan Pan, Archie C. A. Clements

Abstract

Hand-foot-mouth disease (HFMD) is a common infectious disease in China and occurs mostly in infants and children. Beijing is a densely populated megacity, in which HFMD has been increasing in the last decade. The aim of this study was to quantify spatio-temporal characteristics of HFMD and the relationship between meteorological factors and HFMD incidence in Beijing, China. Daily counts of HFMD cases from January 2010 to December 2012 were obtained from the Beijing Center for Disease Prevention and Control (CDC). Seasonal trend decomposition with Loess smoothing was used to explore seasonal patterns and temporal trends of HFMD. Bayesian spatiotemporal Poisson regression models were used to quantify spatiotemporal patterns of HFMD incidence and associations with meteorological factors. There were 114,777 HFMD cases reported to Beijing CDC from 1 January 2010 to 31 December 2012 and the raw incidence was 568.6 per 100,000 people. May to July was the peak period of HFMD incidence each year. Low-incidence townships were clustered in central, northeast and southwest regions of Beijing. Mean temperature, relative humidity, wind velocity and sunshine hours were all positively associated with HFMD. The effect of wind velocity was significant with a RR of 3.30 (95%CI: 2.37, 4.60) per meter per second increase, as was sunshine hours with a RR of 1.20 (95%CI: 1.02, 1.40) per 1 hour increase. The distribution of HFMD in Beijing was spatiotemporally heterogeneous, and was associated with meteorological factors. Meteorological monitoring could be incorporated into prediction and surveillance of HFMD in Beijing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Student > Postgraduate 5 11%
Student > Ph. D. Student 5 11%
Researcher 4 9%
Student > Doctoral Student 2 4%
Other 5 11%
Unknown 16 36%
Readers by discipline Count As %
Medicine and Dentistry 7 16%
Nursing and Health Professions 4 9%
Agricultural and Biological Sciences 3 7%
Environmental Science 3 7%
Engineering 3 7%
Other 5 11%
Unknown 20 44%
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 09 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from BMC Infectious Diseases
#6,527
of 7,729 outputs
Outputs of similar age
#290,538
of 329,118 outputs
Outputs of similar age from BMC Infectious Diseases
#110
of 139 outputs
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