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Editorial

. 2014 May;18(5):507.

doi: 10.5588/ijtld.14.0235.

The benefits and risks of mathematical modelling in tuberculosis

Affiliations

Affiliation

¹ Division of Medical Microbiology and Institute for Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa. helen.cox@uct.ac.za.

PMID: 24903782
DOI: 10.5588/ijtld.14.0235

Editorial

The benefits and risks of mathematical modelling in tuberculosis

Helen S Cox. Int J Tuberc Lung Dis. 2014 May.

. 2014 May;18(5):507.

doi: 10.5588/ijtld.14.0235.

Author

Affiliation

¹ Division of Medical Microbiology and Institute for Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa. helen.cox@uct.ac.za.

PMID: 24903782
DOI: 10.5588/ijtld.14.0235

No abstract available

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Comment on

How can mathematical models advance tuberculosis control in high HIV prevalence settings?
Houben RM, Dowdy DW, Vassall A, Cohen T, Nicol MP, Granich RM, Shea JE, Eckhoff P, Dye C, Kimerling ME, White RG; TB MAC TB-HIV meeting participants. Houben RM, et al. Int J Tuberc Lung Dis. 2014 May;18(5):509-14. doi: 10.5588/ijtld.13.0773. Int J Tuberc Lung Dis. 2014. PMID: 24903784 Free PMC article. Review.

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