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May 5, 2022
Accessed April 23,2019
Accessed June 19,2019
Global Burden of Disease (GBD) India Compare
recommended
Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other cha...
Global Burden of Disease Country Profiles
recommended
The Country Profiles provide an overview of findings from the Global Burden of Disease (GBD). They are based on over 80,000 different data sources used by researchers to produce the most scientifically rigorous estimates possible. Estimates from the GBD study may differ from national statistics due ...
Global Burden of Disease (GBD)
recommended
Everyone, all over the world, deserves to live a long life in full health. In order to achieve this goal, we need a comprehensive picture of what disables and kills people across countries, time, ag...
This booklet provides an overview of all findings from the Global Burden of Disease 2017 study. Published in The Lancet in November 2018, GBD 2017 provides for the first time an independent estimation of population, ... each of 195 countries and territories and the globe, using a standardized, replicable approach, as well as a comprehensive update on fertility. Produced with the input of 3,676 collaborators from 146 countries and territories, GBD 2017 incorporates major data additions and improvements, and methodological refinements. GBD 2017 also includes estimates at the subnational level for selected locations.
The webpage from the Institute for Health Metrics an... Evaluation (IHME) discusses the global impact of diet on health, highlighting poor dietary habits as a major contributor to deaths worldwide, primarily through cardiovascular diseases. It emphasizes the health risks of high sodium intake and insufficient consumption of fruits, vegetables, and whole grains while advocating for dietary improvements to reduce disease burden and improve overall health.
The webpage from the Institute for Health Metrics an... Evaluation (IHME) features a podcast discussing chronic respiratory diseases and their global impact. It highlights the growing burden of diseases such as chronic obstructive pulmonary disease (COPD) and asthma worldwide. The podcast provides insights into the challenges faced in managing and preventing these diseases, emphasizing the importance of early diagnosis, public health strategies, and global data to inform healthcare policies. Experts discuss the role of environmental and lifestyle factors in disease prevalence and outline ways to mitigate these risks through improved healthcare and awareness.
The webpage from the Institute for Health Metrics an... Evaluation (IHME) provides an analysis of air pollution as a significant global health risk. It details how air pollution contributes to severe health problems, including respiratory diseases and increased mortality rates. The site explains different types of air pollution, such as ambient particulate matter and household air pollution, and their respective impacts on health. It emphasizes the global burden of disease caused by pollution, underscoring the importance of reducing exposure through policy and public health interventions to improve overall health outcomes.
The IHME webpage discusses alcohol use as a significant global health risk, responsible for over 1.8 million deaths annually. It highlights age-rel...
This document contains summary information on the latest projections from the IHME model on COVID-19 in Peru. The model was run on July 15, 2022, with data through July 10, 2022.
This document contains summary information on the latest projections from the IHME model on COVID-19
in Brazil. The model was run on July 15, 2022, with data through July 13, 2022.
There has been no systematic comparison of how the policy response to past infectious disease outbreaks and epidemics was funded. This study aims to collate and analyse funding ... the Ebola epidemic and Zika outbreak between 2014 and 2019 in order to understand the shortcomings in funding reporting and suggest improvements. Methods: Data were collected via a literature review and analysis of financial reporting databases, including both amounts donated and received. Funding information from three financial databases was analysed: Institute of Health Metrics and Evaluation’s Development Assistance for Health database, the Georgetown Infectious Disease Atlas and the United Nations Financial Tracking Service. A systematic literature search strategy was devised and applied to seven databases: MEDLINE, EMBASE, HMIC, Global Health, Scopus, Web of Science and EconLit. Funding information was extracted from articles meeting the eligibility criteria and measures were taken to avoid double counting. Funding was collated, then amounts and purposes were compared within, and between, data sources.
