The interactive effects between air pollution and meteorological factors on the hospital outpatient visits for atopic dermatitis in Beijing, China: a time‐series analysis

2019 ◽  
Vol 33 (12) ◽  
pp. 2362-2370 ◽  
Author(s):  
Q. Guo ◽  
X. Xiong ◽  
F. Liang ◽  
L. Tian ◽  
W. Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Atopic Dermatitis ◽  
Time Series Analysis ◽  
Meteorological Factors ◽  
Interactive Effects ◽  
Hospital Outpatient ◽  
Series Analysis ◽  
Outpatient Visits ◽  
Beijing China

The interactive effects between high temperature and air pollution on mortality: A time-series analysis in Hefei, China

2017 ◽  
Vol 575 ◽  
pp. 1530-1537 ◽  
Author(s):  
Rennie Xinrui Qin ◽  
Changchun Xiao ◽  
Yibin Zhu ◽  
Jing Li ◽  
Jun Yang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
High Temperature ◽  
Time Series Analysis ◽  
Interactive Effects ◽  
Series Analysis

scholarly journals Impact of Ambient Temperature and Relative Humidity on the Incidence of Hand-Foot-Mouth Disease in Wuhan, China

2020 ◽  
Vol 17 (2) ◽  
pp. 428 ◽  
Author(s):  
Jiayuan Hao ◽  
Zhiyi Yang ◽  
Wenwen Yang ◽  
Shuqiong Huang ◽  
Liqiao Tian ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Relative Humidity ◽  
Time Series Analysis ◽  
Meteorological Factors ◽  
Mouth Disease ◽  
Series Analysis ◽  
Non Linear ◽  
Effects Of Temperature ◽  
The Relationship

Background: Few studies have previously explored the relationship between hand, foot, and mouth disease (HFMD) and meteorological factors with the effect modification of air pollution, and these studies had inconsistent findings. We therefore applied a time-series analysis assessing the effects of temperature and humidity on the incidence of HFMD in Wuhan, China to deepen our understanding of the relationship between meteorological factors and the risk of HFMD. Methods: Daily HFMD cases were retrieved from Hubei Provincial Center for Disease Control and Prevention from 1 February 2013 to 31 January 2017. Daily meteorological data including 24 h average temperature, relative humidity, wind velocity, and atmospheric pressure were obtained from Hubei Meteorological Bureau. Data on Air pollution was collected from 10 national air-monitoring stations in Wuhan city. We adopted a distributed lag non-linear model (DLNM) combined with Poisson regression and time-series analysis to estimate the effects of temperature and relative humidity on the incidence HFMD. Results: We found that the association between temperature and HFMD incidence was non-linear, exhibiting an approximate “M” shape with two peaks occurring at 2.3 °C (RR = 1.760, 95% CI: 1.218–2.542) and 27.9 °C (RR = 1.945, 95% CI: 1.570–2.408), respectively. We observed an inverted “V” shape between relative humidity and HFMD. The risk of HFMD reached a maximum value at a relative humidity of 89.2% (RR = 1.553, 95% CI: 1.322–1.824). The largest delayed cumulative effects occurred at lag 6 for temperature and lag 13 for relative humidity. Conclusions: The non-linear relationship between meteorological factors and the incidence of HFMD on different lag days could be used in the early targeted warning system of infectious diseases, reducing the possible outbreaks and burdens of HFMD among sensitive populations.

scholarly journals Time series analysis of mumps and meteorological factors in Beijing, China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yu Hao ◽  
Ran-ran Wang ◽  
Ling Han ◽  
Hong Wang ◽  
Xuan Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Meteorological Factors ◽  
Series Analysis ◽  
Beijing China
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