Simulation and minimisation of the airway deposition of airborne bacteria

References

• Balásházy, I., Moustafa, M., Hofmann, W., Szőke, R., El-Hussein, A., and Ahmed, A. R. 2005. Simulation of fiber deposition in bronchial airways. Inhal. Toxicol. 17:717–727.
   PubMed Web of Science ®Google Scholar
• Balásházy, I., Alföldy, B., Molnár, A. J., Hofmann, W., Szőke, I., and Kis, E. 2007. Aerosol drug delivery optimization by computational methods for the characterization of total and regional deposition of therapeutic aerosols in the respiratory system. Curr. Comp. Aid. Drug Des. 3:13–32.
   Web of Science ®Google Scholar
• Day, Y. T., Juang, Y. J., Wu, Y. Y., Breisse, P. N., and Hsu, D. J. 2006. In vivo measurements of inhalability of ultralarge aerosol particles in calm air by humans, J. Aerosol Sci. 37:967–973.
   Web of Science ®Google Scholar
• Douwes, J., Thorne, P., Pearce, N., and Heederik, D. 2003. Bioaerosol health effects and exposure assessment: Progress and prospects. Ann. Occup. Hyg. 47:187–200.
   PubMed Web of Science ®Google Scholar
• Farkas, á., Balásházy, I., and Szőcs, K. 2006. Characterization of regional and local deposition of inhaled aerosol drugs in the respiratory system by computational fluid and particle dynamics methods. J. Aerosol Med. 19:329–343.
   PubMedGoogle Scholar
• Fletcher, L. A., Noakes, C. J., Beggs, C. B., and Sleigh, P. A. 2004. The importance of bioaerosols in hospital infections and the potential for control using germicidal ultraviolet irradiation. Proceedings of the 1st seminar on Applied Aerobiology, Murcia, Spain, 20 May.
   Google Scholar
• Finlay, W. A., and Martin, A. R. 2008. Recent advances in predictive understanding of respiratory tract deposition. J. Aerosol Med. 21:189–205.
   Google Scholar
• Haefeli-Bleuer, B., and Weibel, E. R. 1988. Morphometry of the human pulmonary acinus. J. Appl. Physiol. 38:990–995.
   Google Scholar
• Hofmann, W., and Koblinger, L. 1990. Monte Carlo modeling of aerosol deposition in human lungs. Part II: Deposition fractions and their sensitivity to parameter variations. J. Aerosol Sci. 21:675–688.
   Web of Science ®Google Scholar
• Hofmann, W., and Koblinger, L. 1992. Monte Carlo modelling of aerosol deposition in human lungs. Part III: Comparison with experimental data. J. Aerosol Sci. 23:51–63.
   Web of Science ®Google Scholar
• Hofmann, W., Asgharian, B., and Winkler-Heil, R. 2002. Modeling intersubject variability of particle deposition in human lungs. J. Aerosol Sci. 33:219–235.
   Web of Science ®Google Scholar
• Hofmann, W., Winkler-Heil, R., and Bálásházy, I. 2006. The effect of morphological variability on surface deposition densities of inhaled particles in human bronchial and acinar airways. Inhal. Toxicol. 18:809–819.
   PubMed Web of Science ®Google Scholar
• ICRP. 1994. Human respiratory tract model for radiological protection. International Commission on Radiological Protection (ICRP) Publication 66. Ann. ICRP 24. Oxford: Pergamon Press.
   Google Scholar
• Johnson, R. L., and Hsia, C. C. W. 2006. Anatomy and physiology of the human respiratory system. In Human respiration, pp. 1–29 Southampton, UK: WitPress.
   Google Scholar
• Kitahara, Y., Harada, Y., Harada, S., Maruyama, M., Kajiki, A., Takamoto, M., and Ishibashi, T. 1997. The distribution and the characteristics in computed tomography (CT) of the lungs in primary Mycobacterium avium complex (MAC) infection. Kekkaku 72:173–180.
   PubMedGoogle Scholar
• Koblinger, L., and Hofmann, W. 1985. Analysis of human lung morphometric data for stochastic aerosol deposition calculations. Phys. Med. Biol. 30:541–556.
   PubMed Web of Science ®Google Scholar
• Koblinger, L., and Hofmann, W. 1990. Monte Carlo modeling of aerosol deposition in human lungs. Part I: Simulation of particle transport in a stochastic lung structure. J. Aerosol Sci. 21:661–674.
   Web of Science ®Google Scholar
• Kondo, S., Ito, M., and Uchimura, K. 2003. Predominant location of pulmonary parenchymal lesions of tuberculosis primary complex in infants aged less than one year. Kekkaku 78:347–351.
   PubMedGoogle Scholar
• Marik, P. E. 2001. Aspiration pneumonitis and aspiration pneumonia. N. Engl. J. Med. 344:665–671.
   PubMed Web of Science ®Google Scholar
• Pennsylvania State University. 2008. Airway pathogene database of Penn State University. http://www.engr.psu.edu/ae/iec/abe/database.asp.
   Google Scholar
• Raabe, O. G., Yeh, H. C., Schum, G. M., and Phalen, R. F. 1976. Lovelace Foundation report LF-53.
   Google Scholar
• Schulz, H. N., Brinkhoff, T., Ferdelman, T. G., Hernández Mariné, M., Teseke, A., and Jorgensen, B. B. 1999. Dense populations of a giant sulfur bacterium in Namibian shelf sediments. Science 284:493–495.
   PubMed Web of Science ®Google Scholar
• Stahlhofen, W., Rudolf, G., and James, A. C. 1989. Intercomparison of experimental regional aerosol deposition data. J. Aerosol Med. 2:285–308.
   Google Scholar
• Vilar, J., Domingo, M. L., Soto, C., and Cogollos, J. 2004. Radiology of bacterial pneumonia. European J, Radiol. 51:102–113.
   PubMed Web of Science ®Google Scholar
• World Health Organization. 2005. World Health Organization, Burden of disease project. http://www.who.int/healthinfo/bodproject/en/index.html.
   Google Scholar
• Yu, C. P., Diu, C. K., Soong, T. T. 1981. Statistical analysis of aerosol deposition in nose and mouth. Am. Ind. Hyg. Assoc. J. 43:726–733.
   Google Scholar