Website last accessed on 08.09.2022
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 for 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.
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Background: A recent report by the Institute for Health Metrics and Evaluation (IHME) highlights that mental health receives little attention despite being a major cause of disease burden. This paper extends previous assessments of development assistance for mental health (DAMH) in two significant w...ays; first by contrasting DAMH against that for other disease categories, and second by benchmarking allocated development assistance against the core disease burden metric (disability-adjusted life year) as estimated by the Global Burden of Disease Studies. Methods: In order to track DAH, IHME collates information from audited financial records, project level data, and budget information from the primary global health channels. The diverse set of data were standardised and put into a single inflation adjusted currency (2015 US dollars) and each dollar disbursed was assigned up to one health focus areas from 1990 through 2015. We tied these health financing estimates to disease burden estimates (DALYs) produced by the Global Burden of Disease 2015 Study to calculated a standardised measure across health focus areas—development assistance for health (in US Dollars) per DALY.
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The Global Burden of Disease (GBD) 2010 Study has published disability-adjusted life year (DALY) data
at both regional and country levels from 1990 to 2010. Concurrently, the Institute for Health Metrics and Evaluation
(IHME) has published estimates of development assistance for health (DAH) at th...e country-disease level for this
same period of time.
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Analyze updated data about the world’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks within a country, compare countries with regions or the world, and explore patterns and trends by country, ag...e, and gender. Drill from a global view into specific details. Compare expected and observed trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
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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.
Website last accessed on 08.09.2022
Explore forecasts of COVID-19 cases, deaths, and hospital resource use.
The IHME webpage discusses alcohol use as a significant global health risk, responsible for over 1.8 million deaths annually. It highlights age-related differences in alcohol's health impacts, with no benefits for individuals aged 15–39 and potential small benefits for those aged 40 and above unde...r certain conditions. The page emphasizes the need to consider factors like age, disease patterns, and individual health in assessing alcohol-related risks.
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Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks and explore patterns and trends by age and sex. Drill from a national view into specific details. Compare expected and ob...served trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
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