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Feb 28, 2023 30 min

Tuberculosis Modelling

from The TBPod Hosted by Actnet

Today I had the pleasure of speaking to Hojoon Sohn, an associate professor in infectious disease epidemiologist at the Seoul National University College of Medicine. Hojoon is an expert in TB modelling and speaks to us about his research in decentralised models of testing. This was a fascinating podcast about an area of Tuberculosis not often encountered in the clinical sphere and Hojoon gives a wonderful insight into how and why we implement diagnostic testing. REFERENCES Sohn, Hojoon, et al. "Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model." BMC medicine 17 (2019): 1-11. XPEL-TB: Cattamanchi, Adithya, et al. "Multicomponent strategy with decentralised molecular testing for tuberculosis." New England Journal of Medicine 385.26 (2021): 2441-2450. Mungai, Brenda Nyambura, et al. "‘If not TB, what could it be?’Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey." Thorax 76.6 (2021): 607-614. Vessière, Aurélia, et al. "Impact of systematic early tuberculosis detection using Xpert MTB/RIF Ultra in children with severe pneumonia in high tuberculosis burden countries (TB-Speed pneumonia): a stepped wedge cluster randomized trial." BMC pediatrics 21 (2021): 1-12. Thompson, Ryan R., et al. "Multicomponent strategy with decentralised molecular testing for tuberculosis in Uganda: a cost and cost-effectiveness analysis." The Lancet Global Health 11.2 (2023): e278-e286.

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Today I had the pleasure of speaking to Hojoon Sohn, an associate professor in infectious disease epidemiologist at the Seoul National University College of Medicine. Hojoon is an expert in TB modelling and speaks to us about his research in decentralised models of testing. This was a fascinating podcast about an area of Tuberculosis not often encountered in the clinical sphere and Hojoon gives a wonderful insight into how and why we implement diagnostic testing. REFERENCES Sohn, Hojoon, et ...

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Tuberculosis Modelling

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