DASH Lab

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600 Peter Morand,

Room 101C

Ottawa, ON K1G 5Z3

hjalal@uottawa.ca

(613)562-5800 Ext. 8290

Decision Analysis, Simulation and Health economics Lab (DASH Lab) is at the University of Ottawa’s School of Epidemiology and Public Health. DASH Lab contributes in guiding health policy and decision making through health and economic evaluations and methodological advancement. Students and trainees at DASH Lab will learn about how to conceptualize models for diseases under uncertainty, analyze and visualize large datasets and build mechanistic simulation models based on these data to emulate disease processes and optimize resource allocation under various policy decisions. The lab is led by Dr. Hawre Jalal.


Hawre Jalal, PhD, MD

Associate Professor

Canada Research Chair in Health Economics

As a clinician and health economist, I am interested in optimizing public health resource allocation. My main research currently focuses on understanding the economic and social drivers of the drug and opioid epidemic in North America. I am also interested in population modeling of cancer to better inform surveillance, screening, treatment and prevention. My research involves analyzing large datasets and use of econometric methods and simulation modeling to guide decisions. In addition, I am actively engaged in advancing methods in health economic evaluations. I am a member of two active international collaborations involving the use of computationally intensive Open-Source solutions to increase transparency and reproducibility of health economic evaluations, the use of artificial intelligence (AI) for model calibrations, and promoting the use of value of information analyses for research prioritization and resource allocations: Decision Analysis in R for Technology and Health (DARTH), and the Collaborative Network for Value of Information (ConVOI).

News

Feb 2, 2024 At DASH Lab, we have developed twig R package and the visual interface (DecisionTwig) to simplify and streamline the development of health economic evaluation models in R.
Nov 23, 2023 At DASH Lab, we are developing Model Examiner (ModEx). ModEx uses metamodeling to reveal health health economic model characteristics in near real-time only using a set of model scenarios. A public beta is now available. Please give it a try and let us know what you think!
Oct 25, 2023 Dr. Jalal gives a presentation on comparative modeling of bladder cancer presenting the calibration results of three population model cancers, COBRAS, Kystis and SCOUT at the Society for Medical Decision Making in Philadelphia.
Oct 18, 2023 Dr. Jalal received the Faculty of Medicine Early Career Researcher of the Year Award in Public Health and Epidemiology.
May 31, 2023 Dr. Hawre Jalal presents at the Harvard School of Global Health and Social Medicine on the Historical Arc of US Overdose Deaths.

Selected publications

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    Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016
    Hawre Jalal, Jeanine M Buchanich, Mark S Roberts, Lauren C Balmert, Kun Zhang, and Donald S Burke
    Science, 2018
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    Age and generational patterns of overdose death risk from opioids and other drugs
    Hawre Jalal, Jeanine M Buchanich, David R Sinclair, Mark S Roberts, and Donald S Burke
    Nature medicine, 2020
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    Cost-effectiveness of triple therapy versus etanercept plus methotrexate in early aggressive rheumatoid arthritis
    Hawre Jalal, James R O’Dell, S Louis Bridges Jr, Stacey Cofield, Jeffrey R Curtis, Ted R Mikuls, Larry W Moreland, and Kaleb Michaud
    Arthritis care & research, 2016
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    A Gaussian approximation approach for value of information analysis
    Hawre Jalal, and Fernando Alarid-Escudero
    Medical Decision Making, 2018
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    BayCANN: streamlining Bayesian calibration with artificial neural network metamodeling
    Hawre Jalal, Thomas A Trikalinos, and Fernando Alarid-Escudero
    Frontiers in Physiology, 2021
  6. metamodel.png
    Linear regression metamodeling as a tool to summarize and present simulation model results
    Hawre Jalal, Bryan Dowd, François Sainfort, and Karen M Kuntz
    Medical Decision Making, 2013