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Averting epidemics of extensively drug-resistant tuberculosis.
Basu, Sanjay; Friedland, Gerald H; Medlock, Jan; Andrews, Jason R; Shah, N Sarita; Gandhi, Neel R; Moll, Anthony; Moodley, Prashini; Sturm, A Willem; Galvani, Alison P.
Afiliação
  • Basu S; Tugela Ferry Care and Research Collaboration, Tugela Ferry, KwaZulu-Natal 3010, South Africa. sanjay.basu@yale.edu
Proc Natl Acad Sci U S A ; 106(18): 7672-7, 2009 May 05.
Article em En | MEDLINE | ID: mdl-19365076
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Surtos de Doenças / Tuberculose Resistente a Múltiplos Medicamentos / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Ano de publicação: 2009 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Surtos de Doenças / Tuberculose Resistente a Múltiplos Medicamentos / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Ano de publicação: 2009 Tipo de documento: Article