Assessment for the impact of dust events on measles incidence in western China. (May 2017)
- Record Type:
- Journal Article
- Title:
- Assessment for the impact of dust events on measles incidence in western China. (May 2017)
- Main Title:
- Assessment for the impact of dust events on measles incidence in western China
- Authors:
- Ma, Yuxia
Zhou, Jianding
Yang, Sixu
Zhao, Yuxin
Zheng, Xiaodong - Abstract:
- Abstract: Dust events affect human health in both drylands and downwind environments. In this study, we used county-level data during the period of 1965–2005 to assess the impact of dust events on measles incidence in Gansu province in Western China. We used Fast Fourier Transform (FFT) to set up the cyclical regression model; in particular, we set the model to downwind direction for the typical cities in the Hexi Corridor as well as the capital city Lanzhou. The results showed that Spring measles incidence was the highest in the Hexi Corridor, where dust events occur the most frequently over Gansu province. Measles incidence declined on the pathway of dust storms from west to east due to the weakening of both intensity and duration in dust storms. Measles incidence was positively correlated with monthly wind speed and negatively correlated with rainfall amount, relative humidity, and air pressure. Measles incidence was significantly ( p ≤ 0.01) positively correlated with daily coarse particles, e.g., TSP and PM10 . According to the cyclical regression model, average monthly excess measles that is related to dust events was 39.1 (ranging from 17.3 to 87.6), 149.9 (ranging from 7.1 to 413.4), and 31.3 (ranging from 20.6 to 63.5) in Zhangye, Lanzhou, and Jiuquan, respectively. Highlights: Spatiotemporal distribution of dust event is consistent with that of measles. The incidences of measles declined on the moving path of dust storms. Cases of measles were positivelyAbstract: Dust events affect human health in both drylands and downwind environments. In this study, we used county-level data during the period of 1965–2005 to assess the impact of dust events on measles incidence in Gansu province in Western China. We used Fast Fourier Transform (FFT) to set up the cyclical regression model; in particular, we set the model to downwind direction for the typical cities in the Hexi Corridor as well as the capital city Lanzhou. The results showed that Spring measles incidence was the highest in the Hexi Corridor, where dust events occur the most frequently over Gansu province. Measles incidence declined on the pathway of dust storms from west to east due to the weakening of both intensity and duration in dust storms. Measles incidence was positively correlated with monthly wind speed and negatively correlated with rainfall amount, relative humidity, and air pressure. Measles incidence was significantly ( p ≤ 0.01) positively correlated with daily coarse particles, e.g., TSP and PM10 . According to the cyclical regression model, average monthly excess measles that is related to dust events was 39.1 (ranging from 17.3 to 87.6), 149.9 (ranging from 7.1 to 413.4), and 31.3 (ranging from 20.6 to 63.5) in Zhangye, Lanzhou, and Jiuquan, respectively. Highlights: Spatiotemporal distribution of dust event is consistent with that of measles. The incidences of measles declined on the moving path of dust storms. Cases of measles were positively correlated with coarse particles concentrations. There were certain excess measles during the dust storm period. … (more)
- Is Part Of:
- Atmospheric environment. Volume 157(2017)
- Journal:
- Atmospheric environment
- Issue:
- Volume 157(2017)
- Issue Display:
- Volume 157, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 157
- Issue:
- 2017
- Issue Sort Value:
- 2017-0157-2017-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2017-05
- Subjects:
- Dust storm -- Measles -- Meteorological factors -- Fast fourier transform
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2017.03.010 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
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