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L. Penberthy

Researcher at NCR Corporation

Publications -  5
Citations -  863

L. Penberthy is an academic researcher from NCR Corporation. The author has contributed to research in topics: Medicine & Adapter pattern. The author has an hindex of 2, co-authored 2 publications receiving 85 citations.

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Journal ArticleDOI

Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

Haidong Wang, +95 more
- 01 Mar 2022 - 
TL;DR: It is estimated that 18·2 million people died worldwide because of the COVID-19 pandemic (as measured by excess mortality) over that period, and the number of excess deaths was largest in the regions of south Asia, north Africa and the Middle East, and eastern Europe.
Journal ArticleDOI

Pandemic preparedness and COVID-19: an exploratory analysis of infection and fatality rates, and contextual factors associated with preparedness in 177 countries, from Jan 1, 2020, to Sept 30, 2021

TL;DR: High levels of government and interpersonal trust, as well as less government corruption, were also associated with higher COVID-19 vaccine coverage among middle-income and high-income countries where vaccine availability was more widespread, and lower corruption was associated with greater reductions in mobility.
Journal ArticleDOI

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Khanh Bao Tran, +1018 more
- 01 Aug 2022 - 
TL;DR: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019.
Book ChapterDOI

Askjef: Integration of Case-Based and Multimedia Technologies for Interface Design Support

TL;DR: AskJef is a prototype AI system that helps software engineers in designing human-machine interfaces by providing a memory of interface design examples, primitive domain objects, and design principles, guidelines, errors and stories.
Book ChapterDOI

A Model-Based Approach to Blame-Assignment in Design

TL;DR: A model-based approach is described for solving the blame-assignment task that uses structure-behavior-function models that capture a designer’s comprehension of the way a device works in terms of causal explanations of how its structure results in its behaviors.