Acta Geographica Sinica ›› 2018, Vol. 73 ›› Issue (3): 460-473.doi: 10.11821/dlxb201803006

• Surface Process and Ecological Environment • Previous Articles     Next Articles

The spatio-temporal response of influenza A (H1N1) to meteorological factors in Beijing

YANG Siqi1,XING Xiaoyue1,DONG Weihua2,LI Shuaipeng1,ZHAN Zhicheng1,WANG Quanyi3,YANG Peng3,ZHANG Yi3   

  1. 1. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    2. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
    3. Beijing Center for Diseases Prevention and Control, Beijing 100013, China
  • Received:2017-05-08 Online:2018-03-20 Published:2018-03-20
  • Supported by:
    [Foundation: National Training Program of Innovation and Entrepreneurship for Undergraduates, No.201610027093]


Abstract: In order to explore the response of influenza A (H1N1) to meteorological factors, we analyzed the spatio-temporal distribution of influenza A (H1N1) in Beijing using global Moran's I and local Getis-Ord G I * . The regression model between influenza A (H1N1) and average wind speed, precipitation, average relative humidity, average temperature was established, based on the geographical weighted regression (GWR) model. The results showed that there was no obvious correlation between influenza A (H1N1) and the precipitation, while a strong positive correlation between influenza A (H1N1) and average wind speed was found. The average temperature and the average relative humidity had a strong negative correlation with the spread of influenza A (H1N1) in Beijing, while the latter presented a more complex impact on the spread of it. In terms of the spatio-temporal variation, the impact of meteorological factors was significant during the period when the number of influenza A (H1N1) infections rose rapidly, while it decreased when the number of infections rose slowly. Regarding the spatial variation, the spatial heterogeneity of the impact of each meteorological factor on the four functional zones of Beijing was obvious, which might be related to regional conditions such as local terrain, wind zone, and local climate.

Key words: influenza A (H1N1), meteorological factors, spatial heterogeneity, geographical weighted regression (GWR), Beijing