Bioinformatics, Modeling & Biostatistics Core

The overall goal of the Bioinformatics, Modeling, and Biostatistics Core (BMBC) is to enhance the ability of TB researchers to apply the most modern computational approaches to their studies to address critical gaps in TB knowledge. The Core will ensure that TB researchers in general, and new or early stage investigators in particular, are not limited in their research aspirations by access to, or ability to navigate, resources and expertise in computational and analytical methods.

Specific Aims

Recruit and support junior investigators who seek to incorporate the tools of bioinformatics, mathematical modeling, and biostatistics for TB research
Engage computational researchers to pair with TB researchers to develop effective collaborations that apply modern computational techniques to advance TB research
Provide access to resources required for modern computational research

BMBC Services

Statistical consultation on TB-related grant proposals
Methodological assistance with computational modeling projects
Linkage to high-performance computing facilities available at JHU, including ARCH (Advanced Research Computing at Hopkins)
Assistance with high-throughput data management and bioinformatics
Consultation on grants that might benefit from a modeling, bioinformatics, or statistical component

Featured Publications

Accuracy of C-Reactive Protein for Tuberculosis Detection in General-Population Screening and Ambulatory-Care Triage in Uganda

Cox SR, Erisa KC, Kitonsa PJ, Nalutaaya A, Nantale M, Kayondo F, Mukiibi J, Mukiibi M, Nakasolya O, Dowdy DW, Katamba A, Kendall EA. Accuracy ...

Decline in prevalence of tuberculosis following an intensive case finding campaign and the COVID-19 pandemic in an urban Ugandan community

Kendall EA, Kitonsa PJ, Nalutaaya A, Robsky KO, Erisa KC, Mukiibi J, Cattamanchi A, Kato-Maeda M, Katamba A, Dowdy D. Decline in prevalence of tuberculosis ...

The Impact of Preventive Treatment for Multidrug- and Rifampin-Resistant Tuberculosis Exceeds Trial-Based Estimates

Kasaie P, Pennington J, Gupta A, Dowdy DW, Kendall EA. The Impact of Preventive Treatment for Multidrug- and Rifampin-Resistant Tuberculosis Exceeds Trial-Based Estimates. Clin Infect Dis. ...

Perceived stigma among people with TB and household contacts

Machavariani E, Nonyane BAS, Lebina L, Mmolawa L, West NS, Dowdy DW, Martinson N, Ahmad B, Hanrahan CF. Perceived stigma among people with TB and ...

Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug susceptibility testing

Malhotra A, Thompson R, De Vos M, David A, Schumacher S, Sohn H. Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug ...

Higher yield using an event-based vs. door-to-door approach for active case-finding for TB

Malhotra A, Mukiibi J, Kitonsa PJ, Nalutaaya A, Kamoga CE, Robsky KO, Isooba D, Nantale M, Nakasolya O, Kayondo F, Mukiibi M, Kiyonga R, Dowdy ...

Number Needed to Screen for Tuberculosis Disease Among Children: A Systematic Review

Robsky KO, Chaisson LH, Naufal F, Delgado-Barroso P, Alvarez-Manzo HS, Golub JE, Shapiro AE, Salazar-Austin N.

Tuberculosis, Wildfires, and Case-crossover Studies: An Epidemiological Trifecta?

Checkley W. Tuberculosis, Wildfires, and Case-crossover Studies: An Epidemiological Trifecta? Am J Respir Crit Care Med. 2023 Feb 1;207(3):242-243. doi: 10.1164/rccm.202210-1936ED. PMID: 36315435; PMCID: PMC9896637.

Multicomponent strategy with decentralised molecular testing for tuberculosis in Uganda: a cost and cost-effectiveness analysis

Thompson RR, Nalugwa T, Oyuku D, Tucker A, Nantale M, Nakaweesa A, Musinguzi J, Reza TF, Zimmer AJ, Ferguson O, Turyahabwe S, Joloba M, Cattamanchi ...

Infectious and clinical tuberculosis trajectories: Bayesian modeling with case finding implications

Theresa S Ryckman, David W Dowdy , Emily A Kendall

BMBC Services

Featured Publications

Directors

Co-Directors