The DOI matches its Crossref record.
Control Strategies for Tuberculosis Epidemics: New Models for Old Problems
Abstract
Tuberculosis, although preventable and curable, causes more adult deaths than any other infectious disease. A theoretical framework for designing effective control strategies is developed and used to determine treatment levels for eradication, to assess the effects of noneradicating control, and to examine the global goals of the World Health Organization. The theory is extended to assess how suboptimal control programs contribute to the evolution of drug resistance. A new evaluation criterion is defined and used to suggest how control strategies can be improved. In order to control tuberculosis, treatment failure rates must be lower in developing countries than in developed countries.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
VYNNYCKY, E., & FINE, P. E. M. (1997) · Epidemiology and Infection · doi:10.1017/s0950268897007917 · Cited by 555
Antimicrobial Use and Antimicrobial Resistance: A Population Perspective
Lipsitch, M., & Samore, M. H. (2002) · Emerging Infectious Diseases · doi:10.3201/eid0804.010312 · Cited by 497
Prospects for worldwide tuberculosis control under the WHO DOTS strategy
Dye, C., Garnett, G. P., Sleeman, K., & Williams, B. G. (1998) · The Lancet · doi:10.1016/s0140-6736(98)03199-7 · Cited by 462
Farmer, P., & Kim, J. Y. (1998) · BMJ · doi:10.1136/bmj.317.7159.671 · Cited by 256
Simulating the Effect of Quarantine on the Spread of the 1918–19 Flu in Central Canada
Sattenspiel, L. (2003) · Bulletin of Mathematical Biology · doi:10.1006/bulm.2002.0317 · Cited by 120
Metadata
- Authors
- Blower, S. M., Small, P. M., & Hopewell, P. C.
- Venue
- Science
- Published
- 1996-07-26
- Volume
- 273
- Issue
- 5274
- Pages
- 497-500
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2067900965
- Cited by
- 350
- References
- 0
- FWCI
- 12.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Control Strategies for Tuberculosis Epidemics: New Models for Old Problems. https://app.cochat.ai/papers/10.1126/science.273.5274.497
- The paper
- Blower, S. M., Small, P. M., & Hopewell, P. C. (1996). Control Strategies for Tuberculosis Epidemics: New Models for Old Problems. Science. https://doi.org/10.1126/science.273.5274.497
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
