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 |
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Source Agency |
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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 |