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 R Williams, Philip Weinstein, Peng Bi

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Pages (from-to)1249-1256
Number of pages8
JournalScience of the Total Environment
Volume636
DOIs
Publication statusPublished - 15 Sep 2018

Keywords

  • China
  • Climate change
  • Hemorrhagic fever with renal syndrome
  • Weather

Cite this

Xiang, Jianjun ; Hansen, Alana ; Liu, Qiyong ; Tong, Michael Xiaoliang ; Liu, Xiaobo ; Sun, Yehuan ; Cameron, Scott ; Hanson-Easey, Scott ; Han, Gil Soo ; Williams, Craig R ; Weinstein, Philip ; Bi, Peng. / Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014. In: Science of the Total Environment. 2018 ; Vol. 636. pp. 1249-1256.
@article{d9d5ff416c004d4e98722b4f366d821c,
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 Williams, {Craig R} and Philip Weinstein and Peng Bi",
year = "2018",
month = "9",
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doi = "10.1016/j.scitotenv.2018.04.407",
language = "English",
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Xiang, J, Hansen, A, Liu, Q, Tong, MX, Liu, X, Sun, Y, Cameron, S, Hanson-Easey, S, Han, GS, Williams, CR, Weinstein, P & Bi, P 2018, 'Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014' Science of the Total Environment, vol. 636, pp. 1249-1256. https://doi.org/10.1016/j.scitotenv.2018.04.407

Impact of meteorological factors on hemorrhagic fever with renal syndrome in 19 cities in China, 2005–2014. / Xiang, Jianjun; Hansen, Alana; Liu, Qiyong; Tong, Michael Xiaoliang; Liu, Xiaobo; Sun, Yehuan; Cameron, Scott; Hanson-Easey, Scott; Han, Gil Soo; Williams, Craig R; Weinstein, Philip; Bi, Peng.

In: Science of the Total Environment, Vol. 636, 15.09.2018, p. 1249-1256.

Research output: Contribution to journalArticleResearchpeer-review

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 R

AU - Weinstein, Philip

AU - Bi, Peng

PY - 2018/9/15

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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

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