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TBnet webinar 6 June 2024


We are excited to announce our upcoming webinar on 6 June at 16:00 (CEST) entitled "Modelling the impact of novel diagnostic tools and strategies for tuberculosis detection in high-risk and vulnerable populations"


Please register for the webinar in advance using the link below: https://us06web.zoom.us/meeting/register/tZAuduurqT0uGdUtcYHO2pKIETps0QNPcrMz

  • After registering, you will receive a confirmation email containing information about joining the webinar.

  • Contact information: liga.r@tbnet.eu

 

Abstract

Modelling research on novel diagnostic tools and strategies can provide valuable guidance for decision-making to improve tuberculosis (TB) detection and management in high-risk and vulnerable populations. While traditional modelling has predominantly focused on enhancing the accuracy of diagnostic tests, approaches have since evolved to capture a broader range of effects that novel diagnostic tools and strategies can have along the TB care cascade. This webinar will review modelling techniques and approaches used to estimate the health and cost implications of these novel TB diagnostic tools and strategies. Drawing from examples of recently completed and ongoing research, it will also discuss how diagnostic and case-finding interventions can be effectively targeted to reach populations and subgroups at the highest risk of TB.


Publications that will be highlighted 

  • Brümmer LE, Thompson RR, Malhotra A, Shrestha S, Kendall EA, Andrews JR, Phillips P, Nahid P, Cattamanchi A, Marx FM, Denkinger CM, Dowdy DW. Cost effectiveness of low-complexity screening tests in community-based case-finding for tuberculosis. Clin Infect Dis. 2023. Epub 20230825. doi: 10.1093/cid/ciad501. PubMed PMID: 37623745.

  • Marx FM, Hauer B, Menzies NA, Haas W, Perumal N. Targeting screening and treatment for latent tuberculosis infection towards asylum seekers from high-incidence countries - a model-based cost-effectiveness analysis. BMC public health 2021; 21(1): 2172.


Speaker: 

Florian Marx is a physician, epidemiologist, and mathematical modeler based at the Department of Infectious Disease and Tropical Medicine at Heidelberg University Hospital, Heidelberg, Germany. His main research focus is on the effective targeting and impact assessment of public health interventions including diagnostic and case-finding strategies for tuberculosis in high-risk populations.

 

Experts: 

André Karch is a medical doctor and epidemiologist and holds the chair for clinical epidemiology at the University of Münster. He focusses on infectious disease and cancer epidemiology with long-standing expertise in  modelling of diagnostic strategies. He is steering committee member for the Modelling Network of Severe Infectious Diseases (www.monid.net). 

 

Brit Häcker is a pulmonologist, trained in TB treatment in low- and high incidence settings and is currently working as medical advisor at the German Central Committee against tuberculosis in Berlin. Her focus is on TB detection and prevention in vulnerable risk groups and she is coordinator of an evidence based (S3) guideline TB prevention in migrants in Germany together with Berit.

 

Moderator: 

Berit Lange is an infectious disease epidemiologist at the Department of Epidemiology at the Helmholtz Centre for Infection Research, with a focus on improving epidemiological tools, including cohort studies and modelling analyses, to support public health decision making for vulnerable population groups. She is chair for Epidemiology for TBNet, speaker of MONID, speaker of the DZIF TI BBD and president of the German Society for Epidemiology (www.degpi.de).

 


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