| Title | Averting epidemics of extensively drug-resistant tuberculosis. |
| Publication Type | Journal Article |
| Year of Publication | 2009 |
| Authors | Basu, Sanjay, Gerald H. Friedland, Jan Medlock, Jason R. Andrews, Sarita N. Shah, Neel R. Gandhi, Anthony Moll, Prashini Moodley, Willem A. Sturm, and Alison P. Galvani |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 106 |
| Issue | 18 |
| Pagination | 7672-7 |
| Date Published | 2009 May 5 |
| ISSN | 1091-6490 |
| Keywords | Disease Outbreaks, Humans, Models, Biological, South Africa, Tuberculosis, Multidrug-Resistant |
| Abstract | Extensively drug-resistant tuberculosis (XDR TB) has been detected in most provinces of South Africa, particularly in the KwaZulu-Natal province where several hundred cases have been reported since 2004. We analyzed the transmission dynamics of XDR TB in the region using mathematical models, and observed that nosocomial transmission clusters of XDR TB may emerge into community-based epidemics under the public health conditions of many South African communities. The effective reproductive number of XDR TB in KwaZulu-Natal may be around 2. Intensified community-based case finding and therapy appears critical to curtailing transmission. In the setting of delayed disease presentation and high system demand, improved diagnostic approaches may need to be employed in community-based programs rather than exclusively at tertiary hospitals. Using branching process mathematics, we observed that early, community-based drug-susceptibility testing and effective XDR therapy could help curtail ongoing transmission and reduce the probability of XDR TB epidemics in neighboring territories. |
| DOI | 10.1002/hpm.1029 |
| Alternate Journal | Proc. Natl. Acad. Sci. U.S.A. |
