16 Dec. 2020
This document provides guidance to Ministries of Health (MOHs), laboratory personnel and implementing partners in African Union Member States on the application of rapid antigen tests
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to COVID-19 testing. The guidance serves as reference for policymakers, laboratory leads, implementing partners, and experts on use case scenarios and associated testing algorithms for COVID-19 antigen tests. It recommends the use of antigen tests to increase access to testing and enable timely results for persons with or without symptoms in specific settings. The document will be reviewed and updated as more evidence becomes available regarding the use of rapid antigen tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from global studies and evaluation efforts.
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A general consensus exists that as a country develops economically, health spending per capita rises and the share of that spending that is prepaid through government or private mechanisms also rise
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s. However, the speed and magnitude of these changes vary substantially across countries, even at similar levels of development. In this study, we use past trends and relationships to estimate future health spending, disaggregated by the source of those funds, to identify the financing trajectories that are likely to occur if current policies and trajectories evolve as expected.
Methods
We extracted data from WHO's Health Spending Observatory and the Institute for Health Metrics and Evaluation's Financing Global Health 2015 report. We converted these data to a common purchasing power-adjusted and inflation-adjusted currency. We used a series of ensemble models and observed empirical norms to estimate future government out-of-pocket private prepaid health spending and development assistance for health. We aggregated each country's estimates to generate total health spending from 2013 to 2040 for 184 countries. We compared these estimates with each other and internationally recognised benchmarks.
Findings
Global spending on health is expected to increase from US$7·83 trillion in 2013 to $18·28 (uncertainty interval 14·42–22·24) trillion in 2040 (in 2010 purchasing power parity-adjusted dollars). We expect per-capita health spending to increase annually by 2·7% (1·9–3·4) in high-income countries, 3·4% (2·4–4·2) in upper-middle-income countries, 3·0% (2·3–3·6) in lower-middle-income countries, and 2·4% (1·6–3·1) in low-income countries. Given the gaps in current health spending, these rates provide no evidence of increasing parity in health spending. In 1995 and 2015, low-income countries spent $0·03 for every dollar spent in high-income countries, even after adjusting for purchasing power, and the same is projected for 2040. Most importantly, health spending in many low-income countries is expected to remain low. Estimates suggest that, by 2040, only one (3%) of 34 low-income countries and 36 (37%) of 98 middle-income countries will reach the Chatham House goal of 5% of gross domestic product consisting of government health spending.
Interpretation
Despite remarkable health gains, past health financing trends and relationships suggest that many low-income and lower-middle-income countries will not meet internationally set health spending targets and that spending gaps between low-income and high-income countries are unlikely to narrow unless substantive policy interventions occur. Although gains in health system efficiency can be used to make progress, current trends suggest that meaningful increases in health system resources will require concerted action.
Funding
Bill & Melinda Gates Foundation.
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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.
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.
Introduction
In 2017, development assistance for health (DAH) comprised 5.3% of total health spending in lowincome countries. Despite the key rol
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e DAH plays in global health-spending, little is known about the characteristics of assistance that may be associated with committed assistance that is actually disbursed. In this analysis, we examine associations between these characteristics and disbursement of committed assistance.
Methods
We extracted data from the Creditor Reporting System of the Organization for Economic Co-operation and Development, Institute for Health Metrics and Evaluation, and the WHO National Health Accounts database. Factors examined were off-budget assistance, administrative assistance, publicly sourced assistance and assistance to health systems strengthening. Recipient-country characteristics examined were perceived level of corruption, civil fragility and gross domestic product per capita (GDPpc). We used linear regression methods for panel of data to assess the proportion of committed aid that was disbursed for a given country-year, for each data source.
Results
Factors that were associated with a higher disbursement rates include off-budget aid (p<0.001), lower administrative expenses (p<0.01), lower perceived corruption in recipient country (p<0.001), lower fragility in recipient country (p<0.05) and higher GDPpc (p<0.05).
Conclusion
Substantial gaps remain between commitments and disbursements. Characteristics of assistance (administrative, publicly sourced) and indicators of government transparency and fragility are also important drivers associated with disbursement of DAH. There remains a continued need for better aid flow reporting standards and clarity around aid types for better measurement of DAH.
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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
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for Health Metrics and Evaluation
(IHME) has published estimates of development assistance for health (DAH) at the country-disease level for this
same period of time.
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The webpage from the Institute for Health Metrics an
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d 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.
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The webpage from the Institute for Health Metrics an
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d 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.
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The webpage from the Institute for Health Metrics an
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d 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.
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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
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other charts to compare causes and risks within a country, compare countries with regions or the world, and explore patterns and trends by country, age, 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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Efforts driving universal coverage have recently been strengthened through implementation of the Global Vaccine Action Plan (GVAP) where cost estimates for immunization support were developed totaling US$40 billion of donor assistance by 2020. In ad
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dition to resource mobilization, there has been an increasing focus on improving both vaccine access and delivery systems. We track donor assistance for immunization by funding objective and channel from 1990 to 2016, and illustrate projections through 2020 to inform progress of the GVAP.
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Website last accessed on 31.03.2023
Lancet Global Health Volume 7, Issue 1, January 2019, Pages e81-e95
Understanding and building resilience to early life trauma in Belarus and Ukraine
In 2018 and early 2019, the WHO Regional Office
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for Europe’s cultural contexts of health and well-being project worked alongside the University of Exeter’s WHO Collaborating Centre on Culture and Health, the Minsk Regional Centre for Psychiatry and Addiction, and the Institute of Mental Health of the Ukrainian Catholic University to engage researchers, practitioners, health-care workers and other relevant stakeholders in a series of workshops on the cultural contexts of early life trauma in Belarus and Ukraine.
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