title: Regression model for estimating inactivation of microbial aerosols by solar radiation.
abstract: The inactivation of pathogenic aerosols by solar radiation is relevant to public health and biodefense. We investigated whether a relatively simple method to calculate solar diffuse and total irradiances could be developed and used in environmental photobiology estimations instead of complex atmospheric radiative transfer computer programs. The second-order regression model that we developed reproduced 13 radiation quantities calculated for equinoxes and solstices at 35(°) latitude with a computer-intensive and rather complex atmospheric radiative transfer program (MODTRAN) with a mean error <6% (2% for most radiation quantities). Extending the application of the regression model from a reference latitude and date (chosen as 35° latitude for 21 March) to different latitudes and days of the year was accomplished with variable success: usually with a mean error <15% (but as high as 150% for some combination of latitudes and days of year). This accuracy of the methodology proposed here compares favorably to photobiological experiments where the microbial survival is usually measured with an accuracy no better than ±0.5 log10 units. The approach and equations presented in this study should assist in estimating the maximum time during which microbial pathogens remain infectious after accidental or intentional aerosolization in open environments.
authors: RDECOM, Edgewood Chemical Biological Center, Aberdeen, MD, USA.
authors: Avishai
authors: A
authors: Ben-David
authors: Jose-Luis
authors: JL
authors: Sagripanti
mesh_terms: D000336:Aerosols; D000391:Air Microbiology; D001419:Bacteria / Q000528:radiation effects*; D003198:Computer Simulation; D004307:Dose-Response Relationship, Radiation; D004784:Environmental Monitoring; D016015:Logistic Models; D008954:Models, Biological; D012621:Seasons; D013472:Sunlight; D014466:Ultraviolet Rays
chemical_list: D000336:Aerosols