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Megan Bohensky

Researcher at University of Melbourne

Publications -  72
Citations -  25930

Megan Bohensky is an academic researcher from University of Melbourne. The author has contributed to research in topics: Population & Poison control. The author has an hindex of 26, co-authored 72 publications receiving 21558 citations. Previous affiliations of Megan Bohensky include Monash University, Clayton campus & Monash University.

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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: Quantifying the epidemiological transition

Christopher J L Murray, +611 more
TL;DR: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries as discussed by the authors.
Journal ArticleDOI

Older Drivers, Crashes and Injuries

TL;DR: The findings highlight the situations that are particularly risky for older drivers and provide important insights for developing solutions to reduce older driver crash and injury risk.
Journal ArticleDOI

A survey of Australian clinical registries: can quality of care be measured?

TL;DR: The aim of the present study was to determine the attributes of Australian clinical registries to identify their capacity to accurately assess quality of care.

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

Mohammad H. Forouzanfar, +720 more
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as mentioned in this paper provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.