Abstract: Air Pollution in China has become of increasing public concern because of its importance and sensitivity related to health risks. Based on the daily data of air quality monitoring sites in Beijing and Shenzhen city, the optimal Spatio-temporal Kriging (STK) model is selected to reveal the spatial-temporal distribution characteristics of the daily Air Pollution exposure in Beijing and Shenzhen. The Spatiotemporal analysis model applied to study the possible association between different types of air pollution and respiratory hospital admission in Beijing and Shenzhen city. The results showed that short-term exposure to ambient air pollution was significantly associated with acute respiratory infection hospital admission in different age and gender Population-Based Cohorts. The research results will benefit public health policy to control the pollution of particulate matter as well as other gaseous pollutants.
About the speaker: Dr. An Zhang is an Associate Professor from the Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science. Currently he is a Visting scholar at the Center for Geographic Analysis, Harvard. His main research interest is demography and public health study based on Geographical Information System. He is particularly focused on the study of dynamic population estimation model and public health spatiotemporal analysis. He works with Prof. Peter Bol on the spatial and temporal analysis of China’s Census and physical geographical features during his visit to the CGA.
Lunch will be served.