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Exposure and Risk Assessment for Infectious Aerosols.


PB2001101415

Publication Date 2000
Personal Author Nicas, M.
Page Count 96
Abstract The general aim was to develop a quantitative framework for estimating M. tb infection and tuberculosis (TB) incidence among health care workers (HCW) in a hospital setting, such that the framework could inform risk management decisions. A stochastic simulation model was developed to describe M. tb infection and disease incidence among a hospital HCW cohort. The model provided results that reasonably adhered to published observations. Application of the model showed that a binary type of patient infectivity generates substantial variability in infection incidence. A binary patient infectivity adheres to the common view that most TB patients are not infectious, but that a few are dangerous disseminators. Application of the simulation model also showed that infection among immunocompromised HCWs causes only a slight increase in incidence of secondary M. tb infection and TB disease at the HCW cohort level, although TB disease in immunocompromised individuals has severe personal consequences.
Keywords
  • Risk assessments
  • Aerosols
  • Occupational safety and health
  • Infectious diseases
  • Mathematical models
  • Particulates
  • Hospitals
  • Diseases and medical conditions
  • Patients
  • Markov chains
  • Health care workers
  • Pathogens
  • Tuberculosis
  • Stochastic simulation models
  • Immunocomprised individuals
  • NIOSH(National Institute for Occupational Safety and Health)
  • Markov model
Source Agency
  • CDC National Institute for Occupational Safety and Health
Corporate Authors California Univ., Berkeley. School of Public Health.; National Inst. for Occupational Safety and Health, Pittsburgh, PA.
Supplemental Notes Sponsored by National Inst. for Occupational Safety and Health, Pittsburgh, PA. Pittsburgh Research Lab.
Document Type Technical Report
Title Note Final rept.
NTIS Issue Number 200104
Exposure and Risk Assessment for Infectious Aerosols.
Exposure and Risk Assessment for Infectious Aerosols.
PB2001101415

  • Risk assessments
  • Aerosols
  • Occupational safety and health
  • Infectious diseases
  • Mathematical models
  • Particulates
  • Hospitals
  • Diseases and medical conditions
  • Patients
  • Markov chains
  • Health care workers
  • Pathogens
  • Tuberculosis
  • Stochastic simulation models
  • Immunocomprised individuals
  • NIOSH(National Institute for Occupational Safety and Health)
  • Markov model
  • CDC National Institute for Occupational Safety and Health
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