Investigating the effects of climatic variables and reservoir on the incidence of hemorrhagic fever with renal syndrome in Huludao City, China: a 17-year data analysis based on structure equation model

Table 3 Relationship of the measured indicators, latent variables and HFRS incidence in Huludao City, China, 1990 to 2006

Variables	Standardized Regression coefficients
Climate	0.516 = 0.18+0.57 × 0.59
Air pressure (lag 3 months)	-0.465 = -0.90 × 0.516
Air Temperature (lag 3 months)	0.485 = 0.94 × 0.516
Precipitation (lag 3 months)	0.361 = 0.70 × 0.516
Humidity (lag 3 months)	0.475 = 0.92 × 0.516
Virus-carrying index (lag 1 month)	0.59

ISSN: 1471-2334