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Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China

Overview of attention for article published in BMC Infectious Diseases, November 2015
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Title
Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China
Published in
BMC Infectious Diseases, November 2015
DOI 10.1186/s12879-015-1233-0
Pubmed ID
Authors

Banghua Chen, Ayako Sumi, Shin’ichi Toyoda, Quan Hu, Dunjin Zhou, Keiji Mise, Junchan Zhao, Nobumichi Kobayashi

Abstract

Hand, foot, and mouth disease (HFMD) is an infectious disease caused by a group of enteroviruses, including Coxsackievirus A16 (CVA16) and Enterovirus A71 (EV-A71). In recent decades, Asian countries have experienced frequent and widespread HFMD outbreaks, with deaths predominantly among children. In several Asian countries, epidemics usually peak in the late spring/early summer, with a second small peak in late autumn/early winter. We investigated the possible underlying association between the seasonality of HFMD epidemics and meteorological variables, which could improve our ability to predict HFMD epidemics. We used a time series analysis composed of a spectral analysis based on the maximum entropy method (MEM) in the frequency domain and the nonlinear least squares method in the time domain. The time series analysis was applied to three kinds of monthly time series data collected in Wuhan, China, where high-quality surveillance data for HFMD have been collected: (i) reported cases of HFMD, (ii) reported cases of EV-A71 and CVA16 detected in HFMD patients, and (iii) meteorological variables. In the power spectral densities for HFMD and EV-A71, the dominant spectral lines were observed at frequency positions corresponding to 1-year and 6-month cycles. The optimum least squares fitting (LSF) curves calculated for the 1-year and 6-month cycles reproduced the bimodal cycles that were clearly observed in the HFMD and EV-A71 data. The peak months on the LSF curves for the HFMD data were consistent with those for the EV-A71 data. The risk of infection was relatively high at 10 °C ≤ t < 15 °C (t, temperature [°C]) and 15 °C ≤ t < 20 °C, and peaked at 20 °C ≤ t < 25 °C. In this study, the HFMD infections occurring in Wuhan showed two seasonal peaks, in summer (June) and winter (November or December). The results obtained with a time series analysis suggest that the bimodal seasonal peaks in HFMD epidemics are attributable to EV-A71 epidemics. Our results suggest that controlling the spread of EV-A71 infections when the temperature is approximately 20-25 °C should be considered to prevent HFMD infections in Wuhan, China.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 13 37%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Biochemistry, Genetics and Molecular Biology 4 11%
Veterinary Science and Veterinary Medicine 2 6%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Other 7 20%
Unknown 12 34%
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 03 November 2015.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from BMC Infectious Diseases
#5,602
of 7,678 outputs
Outputs of similar age
#205,178
of 285,121 outputs
Outputs of similar age from BMC Infectious Diseases
#128
of 167 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,678 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 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.