Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/118606
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Type: Journal article
Title: Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014
Author: Xiang, J.
Hansen, A.
Liu, Q.
Tong, M.
Liu, X.
Sun, Y.
Cameron, S.
Hanson-Easey, S.
Han, G.
Williams, C.
Weinstein, P.
Bi, P.
Citation: Science of the Total Environment, 2018; 636:1249-1256
Publisher: Elsevier
Issue Date: 2018
ISSN: 0048-9697
1879-1026
Statement of
Responsibility: 
Jianjun Xiang, Alana Hansen, Qiyong Liu, Michael Xiaoliang Tong, Xiaobo Liu, Yehuan Sun, Scott Cameron, Scott Hanson-Easey, Gil-Soo Han, Craig Williams, Philip Weinstein, Peng Bi
Abstract: This study aims to investigate the associations between meteorological factors and hemorrhagic fever with renal syndrome (HFRS) in 19 cities selected from HFRS high risk areas across different climate zones in three Provinces of China. De-identified daily reports of HFRS in Anhui, Heilongjiang, and Liaoning Provinces for 2005-2014 were obtained from the Chinese Center for Disease Control and Prevention. Daily weather data from each study location were obtained from the China meteorological Data Sharing Service System. Generalised estimating equation models (GEE) were used to quantify the city-specific HFRS-weather associations. Multivariate random-effects meta-regression models were used to pool the city-specific HFRS-weather effect estimates. HFRS showed an overall downward trend during the study period with a slight rebound after 2010. Meteorological factors were significantly associated with HFRS incidence. HFRS was relatively more sensitive to weather variability in subtropical regions (Anhui Province) than in temperate regions (Heilongjiang and Liaoning Provinces). The size of effect estimates and the duration of lagged effects varied by locations. Pooled results of the 19 cities showed that a 1 °C increase in maximum temperature (Tmax) resulted in a 1.6% (95% CI: 1.0%-2.2%) increase in HFRS; a 1 mm increase in weekly precipitation was associated with 0.2% (95%CI: 0.1%-0.3%) increase in HFRS; a 1% increase in average relative humidity was associated with a 0.9% (95%CI: 0.5%-1.2%) increase in HFRS. The lags with the largest effects for Tmax, precipitation, and relative humidity occurred in weeks 29, 22, and 16, respectively. Lagged effects of meteorological factors did not end after an epidemic season but waned gradually in the following 3-4 epidemic seasons. Weather variability plays a significant role in HFRS transmission in China. The long duration of lagged effects indicates the necessity of continuous interventions following the epidemics.
Keywords: Hemorrhagic fever with renal syndrome; climate change; weather; China
Rights: © 2018 Elsevier B.V. All rights reserved.
RMID: 0030088718
DOI: 10.1016/j.scitotenv.2018.04.407
Appears in Collections:Public Health publications

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