David Dowdy, MD, PhD

MentorTeacherFaculty

Titles:

Associate Professor, Epidemiology, International Health, and Medicine

Email:

ddowdy1@jhmi.edu

Phone:

410-614-5022

SciVal:

SciVal Link

I am a mid-career investigator in the field of infectious disease epidemiology, and also a practicing general internist.  My interdisciplinary research lies at the nexus of infectious disease modeling, health economics, operational and implementation science, and classical epidemiology.  My primary interests are:    (1) Dynamic modeling and economic evaluation of TB and TB/HIV: My greatest research passion is evaluating the implementation and scale-up of TB and HIV control interventions, especially diagnostic and case-finding strategies.  I combine methods from traditional epidemiology, cost-effectiveness analysis, and epidemic modeling with the aim of answering questions of relevance to patients and policy-makers.  I serve on the steering committee of the Gates Foundation-funded TB-Modeling and Analysis Consortium (TB-MAC) and direct two NIH-funded projects related to modeling the scale-up of TB diagnostic tests.  I currently work with collaborators on projects based in Malawi, South Africa, Uganda, India, Zambia, Brazil, Canada, and the United States.     (2) Translational epidemiology: I have great interest in creating modeling frameworks that allow decision-makers to translate epidemiological data into effective decisions.  I welcome collaboration from researchers, clinicians, or students having expertise in any field, who hope to create models to translate epidemiological data into meaningful policy, practical, or clinical decisions.    (3) Implementation science: I am interested not only in how interventions operate in idealized settings, but also improving how they are implemented in the real world.  Generally, implementation barriers are greater than theoretical scientific ones; I think it is critical to conduct research that will help us overcome them.    (4) Teaching and mentorship:  These are essential, and often-undervalued, skills in the field of epidemiology.  If our profession is to continue its record of success, I firmly believe that we need to train future leaders how to teach and mentor others, and also to do our best to serve as role models in that regard.

  1. C-reactive protein (CRP), interferon gamma-inducible protein 10 (IP-10), and lipopolysaccharide (LPS ) are associated with risk of tuberculosis after initiation of antiretroviral therapy in resource-limited settings.; PLoS One
  2. Costs and Consequences of Using Interferon-γ Release Assays for the Diagnosis of Active Tuberculosis ; PubMed - NCBI
  3. Reducing relapse in tuberculosis treatment: is it time to reassess WHO treatment guidelines? ; The International Journal of Tuberculosis and Lung Disease, Volume 19, Number 6, 1 June 2015, pp. 624-624(1)
  4. Performance of a Novel Algorithm Using Automated Digital Microscopy for Diagnosing Tuberculosis. ; Am J Respir Crit Care Med, ATS Journals
  5. Screening for tuberculosis with Xpert MTB/RIF versus fluorescent microscopy among adults newly diagnosed with HIV in rural Malawi: a cluster randomized trial (CHEPETSA); Clin Infect Dis
  6. Tuberculosis Incidence Among Populations at High Risk in California, Florida, New York, and Texas, 2011-2015; Am J Public Health
  7. What if they don’t have tuberculosis? The consequences and trade-offs involved in false-positive diagnoses of tuberculosis; Clin Infect Dis
  8. Post-2015 tuberculosis strategies in a pre-2015 world. ; The International Journal of Tuberculosis and Lung Disease, Volume 17, Number 2, 1 February 2013, pp. 143-143(1)
  9. Projected population-wide impact of antiretroviral therapy-linked isoniazid preventive therapy in a high-burden setting; AIDS
  10. Cost-effectiveness of Preventive Therapy for Tuberculosis With Isoniazid and Rifapentine Versus Isoniazid Alone in High-Burden Settings; Clin Infect Dis
  11. The Importance of Heterogeneity to the Epidemiology of Tuberculosis ; Clin Infect Dis
  12. Yield of household contact tracing for tuberculosis in rural South Africa ; BMC Infect Dis
  13. Modelling the impact of social protection on tuberculosis: the S-PROTECT project ; BMC Public Health
  14. Would pan-tuberculosis treatment regimens be cost-effective? ; Lancet Respir Med

Categories

Events

«

August 2020

»
S
M
T
W
T
F
S
·
·
·
·
·
·
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
·
·
·
·
·

Projects

FlexDx-TB: A flexible, user-friendly model of...

We have developed a web-based model that allows decision-makers to input local epidemiological and economic values and receive...

Read More

A Comprehensive Snapshot of Tuberculosis...

This study aims to find all cases of TB within an urban Ugandan community of 50,000 people and to characterize both the...

Read More

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...

Read More

Modeling the impact of novel TB drug regimens...

We are constructing mathematical models of TB epidemics in Southeast Asia, India, and Vietnam to explore the potential...

Read More