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Fabrizio Tediosi

Researcher at Swiss Tropical and Public Health Institute

Publications -  176
Citations -  5599

Fabrizio Tediosi is an academic researcher from Swiss Tropical and Public Health Institute. The author has contributed to research in topics: Population & Public health. The author has an hindex of 32, co-authored 159 publications receiving 4535 citations. Previous affiliations of Fabrizio Tediosi include Bocconi University & University of Basel.

Papers
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Journal ArticleDOI

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
- 28 Nov 2015 - 
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.
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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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Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

Joseph L Dieleman, +121 more
- 20 May 2017 - 
TL;DR: Health spending remains disparate, with low-income and lower-middle-income countries increasing spending in absolute terms the least, and relying heavily on OOP spending and development assistance.
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Mathematical modeling of the impact of malaria vaccines on the clinical epidemiology and natural history of Plasmodium falciparum malaria: Overview.

TL;DR: A major project to develop integrated mathematical models for predicting the epidemiologic and economic effects of malaria vaccines both at the individual and population level, allowing for the temporal dynamics of effects on immunity and transmission.