Published September 2018 | Version v1
Journal article

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

  • 1. School of Public Health, The University of Adelaide, Adelaide, South Australia 5005 (Australia)
  • 2. State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206 (China)

Description

Highlights: • Weather variability plays a significant role in HFRS transmission in China. • A 1 °C increase in maximum temperature resulted in 1.6% increase in HFRS. • A 1 mm increase of weekly precipitation was associated with 0.2% increase in HFRS. • HFRS-weather associations and lagged effects vary by region. • Lagged effects did not end after an epidemic season but waned gradually. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.04.407

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.04.407;
PII
S0048969718316061;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
636
Journal Page Range
p. 1249-1256
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53051057
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ATMOSPHERIC PRECIPITATIONS; CHINA; CLIMATES; CLIMATIC CHANGE; EPIDEMIOLOGY; FEVER; HUMIDITY; KIDNEYS; METEOROLOGY; MULTIVARIATE ANALYSIS; SEASONS; URBAN AREAS; WEATHER
Descriptors DEC
ASIA; BODY; MATHEMATICS; MOISTURE; ORGANS; STATISTICS; SYMPTOMS

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.