Risk Factors Analysis of High Pathogenic Avian Influenza in Mainland China Using GIS and Remote Sensing

摘要

Remote sensing and geographic information system, combined with methods of spatial statistics, provide powerful new tools for understanding the epidemiology of diseases and for improving disease prevention and control, the same holds true in High Pathogenic Avian Influenza (HPAI) epidemic. The study is to determine such risk factors as distance from HPAI outbreak sites to highway using GIS, and land surface temperature around HPAI outbreak sites retrieved from RS image by means of the self-iterative algorithm developed by us. Finally, A diagnostic study is made to investigate the relationship between water vapor above infected area of HPAI H5N1 and possibility of HPAI. We find that about 75.5 percent of HPAI outbreak between 0.5-2.0 g/cm{sup}2 of water vapor. Ultimately we would like to provide detailed and precise support information for governments to prevent and control HPAI epidemic.