文献类型：期刊文献

英文题名：The effects of air pollution and meteorological factors on measles cases in Lanzhou, China

作者：Peng, Lu[1,2];Zhao, Xiuge[1,2,3];Tao, Yan[1,2];Mi, Shengquan[4];Huang, Ju[1,2];Zhang, Qinkai[5]

第一作者：Peng, Lu

通讯作者：Tao, Y[1];Tao, Y[2];Mi, SQ[3]

机构：[1]Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China;[2]Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Environm Pollut Predict & Control, 222 Tianshui South Rd, Lanzhou 730000, Gansu, Peoples R China;[3]Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China;[4]Beijing Union Univ, Coll Biochem Engn, 97 North Fourth Ring East Rd, Beijing 100023, Peoples R China;[5]South China Inst Environm Sci, Minist Ecol & Environm PRC, Guangzhou 510655, Peoples R China

第一机构：Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China

通讯机构：[1]corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China;[2]corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Environm Pollut Predict & Control, 222 Tianshui South Rd, Lanzhou 730000, Gansu, Peoples R China;[3]corresponding author), Beijing Union Univ, Coll Biochem Engn, 97 North Fourth Ring East Rd, Beijing 100023, Peoples R China.|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;

年份：2020

卷号：27

期号：12

起止页码：13524-13533

外文期刊名：ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

收录：;Scopus(收录号：2-s2.0-85079178483);WOS:【SCI-EXPANDED(收录号:WOS:000516193700003)】；

基金：This work was supported by the Premium Funding Project for Academic Human Resources Development in Beijing Union University: BPHR2017CZ03 and the National Key R&D Program of China under contract 2016YFC0206201.

语种：英文

外文关键词：Measles; Air pollution; Meteorological factors; Generalized additive model; Lanzhou

摘要：By collecting daily data on measles cases, air pollutants, and meteorological data from 2005 to 2009 in Chengguan District of Lanzhou City, semi-parametric generalized additive model (GAM) was used to quantitatively study the impact of air pollutants and meteorological factors on daily measles cases. The results showed that air pollutants and meteorological factors had effect on the number of daily measles cases, and there was a certain lag effect. Except for SO2 and relative humidity, other factors showed statistically significant associations with daily measles cases: NO2 lag 6 days, PM10 and maximum temperature lag 5 days, minimum temperature and average temperature and average air pressure lag 4 days, visibility, and wind speed lag 3 days had the greatest impact on the number of daily measles cases. Under the optimum lag conditions, the number of daily measles cases increased by 15.1%, 17.6%, 7.0%, 116.6%, 98.6%, 85.7%, and 14.4% with the increase of 1 IQR in SO2, NO2, PM10, maximum temperature, minimum temperature, average temperature, and wind speed; with the increase of 1 IQR in average pressure, relative humidity, visibility, and daily measles cases decreased by 12.8%, 9.7%, and 13.1%, respectively. And different factors showed different seasonal effects. The effects of SO2 and temperature factors on daily measles cases were greater in spring and winter, but PM10 in summer.