Evidence sources on the natural history of latent tuberculosis infection

Affiliations

¹ Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA. Electronic address: nmenzies@hsph.harvard.edu.
² Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
³ Center for Health Policy and Center for Primary Care Outcomes and Research, Stanford University, Stanford, USA.

Comment

Nicolas A Menzies et al. Lancet Infect Dis. 2018 Aug.

. 2018 Aug;18(8):834-835.

doi: 10.1016/S1473-3099(18)30406-7.

¹ Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA. Electronic address: nmenzies@hsph.harvard.edu.
² Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
³ Center for Health Policy and Center for Primary Care Outcomes and Research, Stanford University, Stanford, USA.

No abstract available

Comment on

Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions.
Menzies NA, Wolf E, Connors D, Bellerose M, Sbarra AN, Cohen T, Hill AN, Yaesoubi R, Galer K, White PJ, Abubakar I, Salomon JA. Menzies NA, et al. Lancet Infect Dis. 2018 Aug;18(8):e228-e238. doi: 10.1016/S1473-3099(18)30134-8. Epub 2018 Apr 10. Lancet Infect Dis. 2018. PMID: 29653698 Free PMC article.
Appropriate comparisons of tuberculosis latency structures with empiric data.
Trauer JM, Ragonnet R, McBryde ES. Trauer JM, et al. Lancet Infect Dis. 2018 Jul;18(7):720-721. doi: 10.1016/S1473-3099(18)30339-6. Lancet Infect Dis. 2018. PMID: 29976525 No abstract available.