Jonathan Golub, PhD, MPH

Faculty

Titles:

Associate Professor, Medicine, Epidemiology, International Health

Email:

jgolub@jhmi.edu

Phone:

443-287-2969

SciVal:

SciVal Link

Jonathan E. Golub, PhD, MPH, is an Associate Professor of Medicine, Epidemiology and International Health. His research focuses on the epidemiology of tuberculosis in South Africa, Brazil, India and the US, with specific focus on the drivers of TB in these settings. He leads a cluster randomized trial in South Africa observing diagnostic and treatment practices for latent TB infection among HIV-infected patients at 14 HIV clinics. Also, in South Africa, he leads a smoking cessation clinical trial among HIV-infected patients and projects investigating indoor air pollution, smoking, and potential mHealth solutions for many patient populations. He also leads a study investigating TB treatment outcomes among TB patients with diabetes in India, and other studies in India looking at impact of indoor air pollution and smoking on TB in this setting.

In Brazil, he continues to lead a Fogarty training program which has trained over 100 clinicians and public health researchers throughout Brazil. Recently, he helped lead the THRio study in Brazil, a cluster randomized trial in 29 HIV clinic throughout Rio de Janeiro, which showed that TB incidence can be reduced with proper implementation of TST and IPT. The data accumulated from THRio continue to fuel multiple analyses of the HIV/TB epidemic in Brazil, a country representative of middle income countries with a moderate TB epidemic.

In addition to the Fogarty training program, his interest in teaching extends to several TB courses at the Bloomberg School of Public Health. He is the primary instructor for the “Epidemiologic Basis for TB Control”, a course created by Dr. George Comstock over 50 years ago, and co-instructs two courses with Dr. Jaap Broekmans.

Categories

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Projects

Modeling to improve TB decision-making in the...

We are part of a large consortium that is constructing epidemic and economic models of TB and HIV in collaboration with the U.S....

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TB Modeling and Analysis Consortium

The TB MAC brings TB modelers together from a wide range of institutions to answer questions of global policy relevance.  I...

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Population-level impact of isoniazid...

We are collaborating with a team that conducted a randomized trial of IPT in Khayelitsha, South Africa, to extend their findings...

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Understanding the role of repeat testing and...

We have developed a Markov model of serial IGRA testing to help improve testing algorithms with TST vs. IGRA in low-risk...

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