||Comparing the Accuracy of Equation Formats for Modeling Microbial Population Decay Rates.
Hurst, C. J. ;
Wild, D. K. ;
Clark, R. M. ;
||Environmental Protection Agency, Cincinnati, OH. Risk Reduction Engineering Lab. ;National Inst. for Occupational Safety and Health, Rockville, MD.
Microbial colony count ;
Soil microbiology ;
Aquatic microbiology ;
Mathematical models ;
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
Virus stability in natural environments is important to understanding the health significance of human or animal viral contaminants in air, soil, and water. It is also a consideration in studies on the role of natural virus populations in plant and microbial ecology. There are no standard formats for modeling environmental virus stability. The present study was intended to help fill this void by comparing the relative accuracy of four regression formats for empirically modeling viral stability using a database on picornavirus survival in surface freshwaters. Greatest accuracy was achieved by multiplicative error regression using survival ratio as dependent variable.