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

被引:81
作者
Chen, Gongbo [1 ]
Zhang, Wenyi [2 ]
Li, Shanshan [1 ,3 ]
Williams, Gail [1 ]
Liu, Chao [2 ]
Morgan, Geoffrey G. [4 ]
Jaakkola, Jouni J. K. [5 ]
Guo, Yuming [1 ,3 ]
机构
[1] Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia
[2] Acad Mil Med Sci, Inst Dis Control & Prevent, Ctr Dis Surveillance & Res, Beijing, Peoples R China
[3] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
[4] Univ Sydney, Univ Ctr Rural Hlth, Lismore, NSW, Australia
[5] Univ Oulu, Inst Hlth Sci, Ctr Environm & Resp Hlth Res, Oulu, Finland
基金
英国医学研究理事会;
关键词
PM2.5; Measles; China; PARTICULATE AIR-POLLUTION; PM2.5; EXPOSURE; HEALTH SYSTEM; TIME-SERIES; TRANSMISSION; ELIMINATION; INFLUENZA; PROGRESS; DISEASE; TEMPERATURE;
D O I
10.1016/j.envres.2017.03.046
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mu m (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 mu g/m(3) 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.
引用
收藏
页码:306 / 311
页数:6
相关论文
共 43 条
[11]   Measles Elimination Activities in the Western Pacific Region: Experience from the Republic of Korea [J].
Choe, Young June ;
Jee, Youngmee ;
Oh, Myoung-don ;
Lee, Jong-Koo .
JOURNAL OF KOREAN MEDICAL SCIENCE, 2015, 30 :S115-S121
[12]   Health Effects of Particulate Air Pollution [J].
Dockery, Douglas W. .
ANNALS OF EPIDEMIOLOGY, 2009, 19 (04) :257-263
[13]   Healthcare payment incentives: A comparative analysis of reforms in Taiwan, South Korea and China [J].
Eggleston K. ;
Hsieh C.-R. .
Applied Health Economics and Health Policy, 2004, 3 (1) :47-56
[14]   Impact of ambient fine particulate matter (PM2.5) exposure on the risk of influenza-like-illness: a time-series analysis in Beijing, China [J].
Feng, Cindy ;
Li, Jian ;
Sun, Wenjie ;
Zhang, Yi ;
Wang, Quanyi .
ENVIRONMENTAL HEALTH, 2016, 15
[15]   Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013 [J].
Forouzanfar, Mohammad H. ;
Alexander, Lily ;
Anderson, H. Ross ;
Bachman, Victoria F. ;
Biryukov, Stan ;
Brauer, Michael ;
Burnett, Richard ;
Casey, Daniel ;
Coates, Matthew M. ;
Cohen, Aaron ;
Delwiche, Kristen ;
Estep, Kara ;
Frostad, Joseph J. ;
Astha, K. C. ;
Kyu, Hmwe H. ;
Moradi-Lakeh, Maziar ;
Ng, Marie ;
Slepak, Erica Leigh ;
Thomas, Bernadette A. ;
Wagner, Joseph ;
Aasvang, Gunn Marit ;
Abbafati, Cristiana ;
Ozgoren, Ayse Abbasoglu ;
Abd-Allah, Foad ;
Abera, Semaw F. ;
Aboyans, Victor ;
Abraham, Biju ;
Abraham, Jerry Puthenpurakal ;
Abubakar, Ibrahim ;
Abu-Rmeileh, Niveen M. E. ;
Aburto, Tania C. ;
Achoki, Tom ;
Adelekan, Ademola ;
Adofo, Koranteng ;
Adou, Arsene K. ;
Adsuar, Jose C. ;
Afshin, Ashkan ;
Agardh, Emilie E. ;
Al Khabouri, Mazin J. ;
Al Lami, Faris H. ;
Alam, Sayed Saidul ;
Alasfoor, Deena ;
Albittar, Mohammed I. ;
Alegretti, Miguel A. ;
Aleman, Alicia V. ;
Alemu, Zewdie A. ;
Alfonso-Cristancho, Rafael ;
Alhabib, Samia ;
Ali, Raghib ;
Ali, Mohammed K. .
LANCET, 2015, 386 (10010) :2287-2323
[16]   Multivariate meta-analysis for non-linear and other multi-parameter associations [J].
Gasparrini, A. ;
Armstrong, B. ;
Kenward, M. G. .
STATISTICS IN MEDICINE, 2012, 31 (29) :3821-3839
[17]   Modeling exposure-lag-response associations with distributed lag non-linear models [J].
Gasparrini, Antonio .
STATISTICS IN MEDICINE, 2014, 33 (05) :881-899
[18]   Global Variation in the Effects of Ambient Temperature on Mortality A Systematic Evaluation [J].
Guo, Yuming ;
Gasparrini, Antonio ;
Armstrong, Ben ;
Li, Shanshan ;
Tawatsupa, Benjawan ;
Tobias, Aurelio ;
Lavigne, Eric ;
Zanotti Stagliorio Coelho, Micheline de Sousa ;
Leone, Michela ;
Pan, Xiaochuan ;
Tong, Shilu ;
Tian, Linwei ;
Kim, Ho ;
Hashizume, Masahiro ;
Honda, Yasushi ;
Guo, Yue-Liang Leon ;
Wu, Chang-Fu ;
Punnasiri, Kornwipa ;
Yi, Seung-Muk ;
Michelozzi, Paola ;
Nascimento Saldiva, Paulo Hilario ;
Williams, Gail .
EPIDEMIOLOGY, 2014, 25 (06) :781-789
[19]   The burden of air pollution on years of life lost in Beijing, China, 2004-08: retrospective regression analysis of daily deaths [J].
Guo, Yuming ;
Li, Shanshan ;
Tian, Zhaoxing ;
Pan, Xiaochuan ;
Zhang, Jinliang ;
Williams, Gail .
BMJ-BRITISH MEDICAL JOURNAL, 2013, 347
[20]   Air pollution and hemorrhagic fever with renal syndrome in South Korea: an ecological correlation study [J].
Han, Seung Seok ;
Kim, Sunhee ;
Choi, Yunhee ;
Kim, Suhnggwon ;
Kim, Yon Su .
BMC PUBLIC HEALTH, 2013, 13