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Pietro Ferrara

Researcher at University of Milan

Publications -  40
Citations -  1109

Pietro Ferrara is an academic researcher from University of Milan. The author has contributed to research in topics: Population & Public health. The author has an hindex of 9, co-authored 40 publications receiving 396 citations. Previous affiliations of Pietro Ferrara include University of Milano-Bicocca & Seconda Università degli Studi di Napoli.

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Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019.

Rafael Lozano, +905 more
- 17 Oct 2020 - 
TL;DR: To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—the authors estimated additional population equivalents with UHC effective coverage from 2018 to 2023, and quantified frontiers of U HC effective coverage performance on the basis of pooled health spending per capita.
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Five insights from the Global Burden of Disease Study 2019

Christopher J L Murray, +866 more
- 17 Oct 2020 - 
TL;DR: Five key insights that are important for health, social, and economic development strategies have been distilled are distilled and are subject to the many limitations outlined in each of the component GBD capstone papers.
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Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017

Spencer L. James, +633 more
- 01 Oct 2020 - 
TL;DR: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017, and future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
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Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study

Spencer L. James, +568 more
- 24 Aug 2020 - 
TL;DR: The Global Burden of Disease 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries, which should be used to help inform injury prevention policy making and resource allocation.