Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014

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

doi:10.1016/j.scitotenv.2018.04.407

Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014

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^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

51 Citations (Scopus)

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 (T_max) 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 T_max, 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.

Original language	English
Pages (from-to)	1249-1256
Number of pages	8
Journal	Science of the Total Environment
Volume	636
DOIs	https://doi.org/10.1016/j.scitotenv.2018.04.407
Publication status	Published - 15 Sept 2018
Externally published	Yes

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10.1016/j.scitotenv.2018.04.407

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@article{8002500bd4f14185810d2afb69d45eb2,

title = "Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014",

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 = "China, Climate change, Hemorrhagic fever with renal syndrome, Weather",

author = "Jianjun Xiang and Alana Hansen and Qiyong Liu and Tong, {Michael Xiaoliang} and Xiaobo Liu and Yehuan Sun and Scott Cameron and Scott Hanson-Easey and Han, {Gil Soo} and Craig Williams and Philip Weinstein and Peng Bi",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",

year = "2018",

month = sep,

day = "15",

doi = "10.1016/j.scitotenv.2018.04.407",

language = "English",

volume = "636",

pages = "1249--1256",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014

AU - Xiang, Jianjun

AU - Hansen, Alana

AU - Liu, Qiyong

AU - Tong, Michael Xiaoliang

AU - Liu, Xiaobo

AU - Sun, Yehuan

AU - Cameron, Scott

AU - Hanson-Easey, Scott

AU - Han, Gil Soo

AU - Williams, Craig

AU - Weinstein, Philip

AU - Bi, Peng

PY - 2018/9/15

Y1 - 2018/9/15

N2 - 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.

AB - 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.

KW - China

KW - Climate change

KW - Hemorrhagic fever with renal syndrome

KW - Weather

UR - http://www.scopus.com/inward/record.url?scp=85046735832&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2018.04.407

DO - 10.1016/j.scitotenv.2018.04.407

M3 - Article

SN - 0048-9697

VL - 636

SP - 1249

EP - 1256

JO - Science of the Total Environment

JF - Science of the Total Environment

ER -

Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014

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