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Behnam Sharif

Researcher at University of Calgary

Publications -  19
Citations -  443

Behnam Sharif is an academic researcher from University of Calgary. The author has contributed to research in topics: Population & Cohort. The author has an hindex of 10, co-authored 18 publications receiving 380 citations. Previous affiliations of Behnam Sharif include University of Manitoba & University of British Columbia.

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Journal ArticleDOI

Validation of population-based disease simulation models: a review of concepts and methods

TL;DR: As the role of simulation modeling in population health is increasing and models are becoming more complex, there is a need for further improvements in model validation methodology and common standards for evaluating model credibility.
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Projecting the direct cost burden of osteoarthritis in Canada using a microsimulation model.

TL;DR: In this article, the authors used administrative health data from the province of British Columbia (BC), Canada, a survey of a random sample of BC residents diagnosed with OA (Ministry of Health of BC data), Canadian Institute of Health Information (CIHI) cost data and literature estimates to populate a microsimulation model.
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Mode Pursuing Sampling Method for Discrete Variable Optimization on Expensive Black-Box Functions

TL;DR: In this paper, a double-sphere strategy was proposed for discrete variable global optimization problems on expensive black-box functions, where two hyperspheres are dynamically enlarged or shrunk in control of the degree of exploration and exploitation in the search of the optimum.
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Productivity costs of work loss associated with osteoarthritis in Canada from 2010 to 2031

TL;DR: The productivity costs of work loss (PCWL) associated with osteoarthritis (OA) in Canada using the Population Health Model (POHEM) is estimated to be substantial and increasing in future years.
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Risk of work loss due to illness or disability in patients with osteoarthritis: a population-based cohort study

TL;DR: OA is independently associated with an increased risk of work loss due to illness or disability and given the high prevalence of OA in the population of working age, future research may wish to investigate ways to improve occupational participation among OA patients.