The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
What We Know About Tuberculosis Transmission: An Overview
Open accessAbstract
Tuberculosis remains a global health problem with an enormous burden of disease, estimated at 10.4 million new cases in 2015. To stop the tuberculosis epidemic, it is critical that we interrupt tuberculosis transmission. Further, the interventions required to interrupt tuberculosis transmission must be targeted to high-risk groups and settings. A simple cascade for tuberculosis transmission has been proposed in which (1) a source case of tuberculosis (2) generates infectious particles (3) that survive in the air and (4) are inhaled by a susceptible individual (5) who may become infected and (6) then has the potential to develop tuberculosis. Interventions that target these events will interrupt tuberculosis transmission and accelerate the decline in tuberculosis incidence and mortality. The purpose of this article is to provide a high-level overview of what is known about tuberculosis transmission, using the tuberculosis transmission cascade as a framework, and to set the scene for the articles in this series, which address specific aspects of tuberculosis transmission.
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Citations
Cites
Global tuberculosis report (2014)
Gabbasova, L. A., & Who, E. R. E. (2014) · Cited by 12,702
Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
Boehme, C. C., Nabeta, P., Hillemann, D., Nicol, M. P., Shenai, S., Krapp, F., Allen, J., Tahirli, R., Blakemore, R., Rustomjee, R., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907847 · Cited by 2,309
Self-citationThe Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling
Houben, R. M. G. J., & Dodd, P. J. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002152 · Cited by 2,054
A blood RNA signature for tuberculosis disease risk: a prospective cohort study
Zak, D. E., Penn-Nicholson, A., Scriba, T. J., Thompson, E., Suliman, S., Amon, L. M., Mahomed, H., Erasmus, M., Whatney, W., Hussey, G. D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01316-1 · Cited by 780
Controlled chemoprophylaxis trials in tuberculosis. A general review.
Sh, F. (1970) · PubMed · Cited by 721
Contact investigation for tuberculosis: a systematic review and meta-analysis
Fox, G. J., Barry, S. E., Britton, W. J., & Marks, G. B. (2013) · European Respiratory Journal · doi:10.1183/09031936.00070812 · Cited by 709
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Self-citationEpidemiological benefits of more-effective tuberculosis vaccines, drugs, and diagnostics
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Cited by
Immunology of Mycobacterium tuberculosis Infections
Sia, J. K., & Rengarajan, J. (2019) · Microbiology Spectrum · doi:10.1128/microbiolspec.gpp3-0022-2018 · Cited by 312
Pan, Z., Zhang, J., Bu, Q., He, H., Bai, L., Yang, J., Liu, Q., & Lyu, J. (2020) · Infection and Drug Resistance · doi:10.2147/idr.s248875 · Cited by 29
Adamou Mana, Z., Beaudou, C. N., Hilaire, K. F. J., Konso, J., Ndahbove, C., Waindim, Y., Ganava, M., Malama, T., Matip, C., Meoto, P., et al. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000301 · Cited by 5
Metadata
- Authors
- Churchyard, G., Kim, P., Shah, N. S., Rustomjee, R., Gandhi, N., Mathema, B., Dowdy, D., Kasmar, A., & Cardenas, V.
- Venue
- The Journal of Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-10-01
- Volume
- 216
- Issue
- suppl_6
- Pages
- S629-S635
- ISSN
- 0022-1899 (ISSN-L)
- 1537-6613
- OpenAlex
- W2765354416
- Cited by
- 341
- References
- 47
- FWCI
- 12.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Churchyard, G., Kim, P., Shah, N. S., Rustomjee, R., Gandhi, N., Mathema, B., Dowdy, D., Kasmar, A., & Cardenas, V. (2017). What We Know About Tuberculosis Transmission: An Overview. The Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jix362
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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.