Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75032
Title: Analysing increasing trends of Guillain-Barré Syndrome (GBS) and dengue cases in Hong Kong using meteorological data
Authors: Tang, X
Zhao, S 
Chiu, APY 
Wang, X
Yang, L 
He, D 
Issue Date: 2017
Publisher: Public Library of Science
Source: PLoS one, 2017, v. 12, no. 12, e0187830 How to cite?
Journal: PLoS one 
Abstract: Background: Guillain-Barré Syndrome (GBS) is a severe paralytic neuropathy associated with virus infections such as Zika virus and Chikungunya virus. There were also case reports of dengue fever preceding GBS. With the aim to understand the mechanisms of GBS and dengue outbreaks, this ecological study investigates the relationships between GBS, dengue, meteorological factors in Hong Kong and global climatic factors from January 2000 to June 2016.
Methods: The correlations between GBS, dengue, Multivariate El Niño Southern Oscillation Index (MEI) and local meteorological data were explored by Spearman’s Rank correlations and cross-correlations. Three Poisson regression models were fitted to identify non-linear associations among GBS, dengue and MEI. Cross wavelet analyses were applied to infer potential non-stationary oscillating associations among GBS, dengue and MEI.
Findings and conclusion: We report a substantial increasing of local GBS and dengue cases (mainly imported) in recent year in Hong Kong. The seasonalities of GBS and dengue are different, in particular, GBS is low while dengue is high in the summer. We found weak but significant correlations between GBS and local meteorological factors. MEI could explain over 17% of dengue’s variations based on Poisson regression analyses. We report a possible non-stationary oscillating association between dengue fever and GBS cases in Hong Kong. This study has led to an improved understanding about the timing and ecological relationships between MEI, GBS and dengue.
URI: http://hdl.handle.net/10397/75032
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0187830
Rights: © 2017 Tang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The following publication: Tang X, Zhao S, Chiu APY, Wang X, Yang L, He D (2017) Analysing increasing trends of Guillain-Barré Syndrome (GBS) and dengue cases in Hong Kong using meteorological data. PLoS ONE 12(12): e0187830 is available at https://doi.org/10.1371/journal.pone.0187830
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Tang_Analysing_increasing_trends.pdf9.59 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

SCOPUSTM   
Citations

2
Last Week
0
Last month
Citations as of Dec 18, 2018

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
Citations as of Dec 16, 2018

Page view(s)

24
Citations as of Dec 17, 2018

Download(s)

1
Citations as of Dec 17, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.