Is short-term exposure to ambient fine particles associated with measles incidence in China? A multi-city study

Chen, Gongbo, Zhang, Wenyi, Li, Shanshan, Williams, Gail, Liu, Chao, Morgan, Geoffrey G., Jaakkola, Jouni J. K. and Guo, Yuming (2017) Is short-term exposure to ambient fine particles associated with measles incidence in China? A multi-city study. Environmental Research, 156 306-311. doi:10.1016/j.envres.2017.03.046


Author Chen, Gongbo
Zhang, Wenyi
Li, Shanshan
Williams, Gail
Liu, Chao
Morgan, Geoffrey G.
Jaakkola, Jouni J. K.
Guo, Yuming
Title Is short-term exposure to ambient fine particles associated with measles incidence in China? A multi-city study
Journal name Environmental Research   Check publisher's open access policy
ISSN 1096-0953
0013-9351
Publication date 2017-07-01
Year available 2017
Sub-type Article (original research)
DOI 10.1016/j.envres.2017.03.046
Open Access Status Not yet assessed
Volume 156
Start page 306
End page 311
Total pages 6
Place of publication Maryland Heights, MO United States
Publisher Academic Press
Collection year 2018
Language eng
Formatted abstract
Background

China's rapid economic development has resulted in severe particulate matter (PM) air pollution and the control and prevention of infectious disease is an ongoing priority. This study examined the relationships between short-term exposure to ambient particles with aerodynamic diameter ≤2.5 µm (PM2.5) and measles incidence in China.

Methods

Data on daily numbers of new measles cases and concentrations of ambient PM2.5 were collected from 21 cities in China during Oct 2013 and Dec 2014. Poisson regression was used to examine city-specific associations of PM2.5 and measles, with a constrained distributed lag model, after adjusting for seasonality, day of the week, and weather conditions. Then, the effects at the national scale were pooled with a random-effect meta-analysis.

Results

A 10 µg/m3 increase in PM2.5 at lag 1 day, lag 2 day and lag 3 day was significantly associated with increased measles incidence [relative risk (RR) and 95% confidence interval (CI) were 1.010 (1.003, 1.018), 1.010 (1.003, 1.016) and 1.006 (1.000, 1.012), respectively]. The cumulative relative risk of measles associated with PM2.5 at lag 1–3 days was 1.029 (95% CI: 1.010, 1.048). Stratified analyses by meteorological factors showed that the PM2.5 and measles associations were stronger on days with high temperature, low humidity, and high wind speed.

Conclusions

We provide new evidence that measles incidence is associated with exposure to ambient PM2.5 in China. Effective policies to reduce air pollution may also reduce measles incidence.
Keyword PM2.5
Measles
China
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
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Created: Tue, 18 Apr 2017, 00:20:27 EST by Web Cron on behalf of School of Public Health