Patient diagnostic rate as indicator of tuberculosis case detection, South Africa
dc.contributor.author | Claassens, Mareli | en_ZA |
dc.contributor.author | Van Schalkwyk, Cari | en_ZA |
dc.contributor.author | Dunbar, Rory | en_ZA |
dc.contributor.author | Ayles, Helen | en_ZA |
dc.contributor.author | Beyers, Nulda | en_ZA |
dc.date.accessioned | 2017-08-08T14:00:35Z | |
dc.date.available | 2017-08-08T14:00:35Z | |
dc.date.issued | 2016 | |
dc.description | CITATION: Claassens, M. M., et al. 2016. Patient diagnostic rate as indicator of tuberculosis case detection, South Africa. Emerging Infectious Disease, 22(3):535-537, doi:10.3201/eid2203.151618. | |
dc.description | The original publication is available at https://wwwnc.cdc.gov/eid | |
dc.description.abstract | ENGLISH SUMMARY : To address the uncertainty of the indirectly measured tuberculosis case detection rate, we used survey data stratified by HIV status to calculate the patient diagnostic rate, a directly measurable indicator, in 8 communities in South Africa. Rates were lower among HIV-negative than HIV-positive persons. Tuberculosis programs should focus on HIV-negative persons. | en_ZA |
dc.description.uri | https://wwwnc.cdc.gov/eid/article/22/3/15-1618_article | |
dc.format.extent | 3 pages | |
dc.identifier.citation | Claassens, M. M., et al. 2016. Patient diagnostic rate as indicator of tuberculosis case detection, South Africa. Emerging Infectious Disease, 22(3):535-537, doi:10.3201/eid2203.151618 | |
dc.identifier.issn | 1080-6059 (online) | |
dc.identifier.other | doi:10.3201/eid2203.151618 | |
dc.identifier.uri | http://hdl.handle.net/10019.1/102076 | |
dc.language.iso | en_ZA | en_ZA |
dc.publisher | Centers for Disease Control and Prevention | |
dc.publisher | Publisher's version | |
dc.rights.holder | Authors retain copyright | |
dc.subject | Tuberculosis -- Transmission | en_ZA |
dc.subject | Tuberculosis -- Diagnosis | en_ZA |
dc.subject | Patient diagnostic rate | en_ZA |
dc.title | Patient diagnostic rate as indicator of tuberculosis case detection, South Africa | en_ZA |
dc.type | Article | en_ZA |