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Using a Mathematical Model to Evaluate the Efficacy of TB Control Measures

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Gammaitoni, Laura, Nucci, Maria Clara·1997·Emerging Infectious Diseases

Abstract

We evaluated the efficacy of recommended tuberculosis (TB) infection control measures by using a deterministic mathematical model for airborne contagion. We examined the percentage of purified protein derivative conversions under various exposure conditions, environmental controlstrategies, and respiratory protective devices. We conclude that environmental control cannot eliminate the risk for TB transmission during high-risk procedures; respiratory protective devices, and particularly high-efficiency particulate air masks, may provide nearly complete protection if used with air filtration or ultraviolet irradiation. Nevertheless, the efficiency of these control measures decreases as the infectivity of the source case increases. Therefore, administrative control measures (e.g., indentifying and isolating patients with infectious TB) are the most effective because they substantially reduce the rate of infection.

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Metadata

Authors
Gammaitoni, L., & Nucci, M. C.
Venue
Emerging Infectious Diseases
Published
1997-09
Volume
3
Issue
3
Pages
335-342
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2057599176
Cited by
225
References
0
FWCI
1.01
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Using a Mathematical Model to Evaluate the Efficacy of TB Control Measures. https://app.cochat.ai/papers/10.3201/eid0303.970310
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Gammaitoni, L., & Nucci, M. C. (1997). Using a Mathematical Model to Evaluate the Efficacy of TB Control Measures. Emerging Infectious Diseases. https://doi.org/10.3201/eid0303.970310

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.