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2
Global Vaccine Summit 2020 - Chair’s Summary
Global Alliance for Vaccines and Immunisation (Gavi)
Global Alliance for Vaccines and Immunisation (Gavi)
(2020)
CC
The UK government hosted the Global Vaccine Summit on June 4, 2020 under the patronage of the Rt. Hon. Boris Johnson, Prime Minister of the United Kingdom of Great Britain and Northern Ireland. The meeting was held by videoconference in light of the ongoing COVID-19 pandemic. 2. The Summit brought
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together more than 300 people, including 42 Heads of State and Government. 62 countries were represented, notably 14 Gavi implementing countries, all of the G7 nations and 19 governments of the G20. Eminent participants also included H.E. Antonio Guterres, Secretary-General of the United Nations; H.E. Moussa Faki Mahamat, Chairperson of the African Union Commission; H.E. Dr Tedros Adhanom Ghebreyesus, WHO Director-General; H.E. Henrietta Fore, UNICEF Executive Director; Bill Gates, Co-Chair of the Bill & Melinda Gates Foundation; Ministers from implementing and donor countries; CEOs of vaccine manufacturing companies and private sector partners; leaders of UN and other international agencies; senior civil society representatives; and Gavi champions. A full list of the participants can be found in Annex.
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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
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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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The present information document supplements the WHO audited financial statements for 2018. It contains information on WHO's voluntary contributions by fund and by contributor in the year 2018.
This paper introduces a new dataset of official financing—including foreign aid and other forms of concessional and non-concessional state financing—from China to 138 countries between 2000 and 2014. We use these data to investigate whether and to what extent Chinese aid affects economic growth
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in recipient countries. To account for the endogeneity of aid, we employ an instrumental-variables strategy that relies on exogenous variation in the supply of Chinese aid over time resulting from changes in Chinese steel production. Variation across recipient countries results from a country’s probability of receiving aid. Controlling for year- and recipient-fixed effects that capture the levels of these variables, their interaction provides a powerful and excludable instrument. Our results show that Chinese official development assistance (ODA) boosts economic growth in recipient countries. For the average recipient country, we estimate that one additional Chinese ODA project produces a 0.7 percentage point increase in economic growth two years after the project is committed. We also benchmark the effectiveness of Chinese aid vis-á-vis the World Bank, the United States, and all members of the OECD’s Development Assistance Committee (DAC).
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AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outlines the version 1.1 set of TUFF procedures that have been developed, tested, refined, and implemented
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by AidData researchers and affiliated faculty at the College of William & Mary and Brigham Young University.
In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary. We initially employed these methods to achieve a specific objective: documenting the known universe of officially fin
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anced Chinese projects in Africa (Strange et al. 2013, 2017). We have since then employed these methods to track Chinese official finance to five major world regions: Africa, the Middle East, Asia and the Pacific, Latin America and the Caribbean, and Central and Eastern Europe (Dreher et al. 2017). Additionally, other social scientists have adapted and applied the TUFF methodology to identify grants and loans from Gulf Cooperation Council (GCC) members (Minor et al. 2014), under-reported humanitarian assistance flows from traditional and non-traditional sources (Ghose 2017), foreign direct investment from Western and non-Western sources (Bunte et al. 2017), and pre-2000 foreign aid flows from China (Morgan and Zheng 2017). However, this codebook focuses specifically on TUFF data collection and quality assurance procedures to track Chinese official finance between 2000 and 2014.
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
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alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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Little is known about foreign aid provided by private donors. This paper contributes to closing this research gap by comparing the allocation of private humanitarian aid to that of official humanitarian aid awarded to 140 recipient countries over the 2000-2016 period. We construct a new database tha
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t offers information on the country in which the headquarters of private donors are located to test whether private donors follow the aid allocation pattern of their home country. Our empirical results confirm that private aid “follows the flag.” This finding is robust against the inclusion of various fixed effects, estimating instrumental variables models, and disaggregating private aid into corporate aid and NGO aid. Donor country-specific estimations reveal that private aid from China, Sweden, the United Kingdom, and the United States “follow the flag.”
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Unfortunately, current data available on SDG financing are not sufficient to quantify the distribution of financing for the SDGs.
AidData’s methodology for measuring financing to the SDGs attempts to fill this gap by analyzing development project documentation to estimate project-level contributi
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ons to the SDGs (and their associated targets). This methodology lets us see where development financing is targeted, allowing comparisons among SDG goals and individual SDG targets.
This methodology note describes two iterations of AidData’s methodology. The first, based on a crosswalk with existing aid reporting schemes, was employed for AidData’s 2017 flagship report Realizing Agenda 2030: Will donor dollars and country priorities align with global goals? and our brief Financing the SDGs in Colombia. The second iteration of the methodology employs a direct coding scheme, linking development projects directly to the SDGs through analysis and coding of project descriptions rather than through an intermediary classification system. This method was employed for our 2019 brief Financing the SDGs: Evidence in Four Countries.
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This report seeks to uncover the extent to which global goals crowd in international financing, inform domestic policy priorities, and navigate progress toward development outcomes in low- and middle-income countries (LICs and MICs). Our report:
Provides a historical perspective on how ODA financin
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g was aligned with the MDGs, and the perceived influence of global goals in shaping domestic priorities
Offers a baseline of ODA financing to the SDGs and a forward-looking perspective in translating past lessons learned from the MDGs era into actionable insights
Using a pilot methodology developed by AidData, we analyze ODA flows during the MDGs era (2000-2013) and approximate baseline financing for each goal prior to the adoption of Agenda 2030 in September 2015. The dataset used in the report, Financing to the SDGs, Version 1.0, provides project-level data on estimated Official Development Assistance (ODA) commitments to the 17 Sustainable Development Goals (SDGs) from 2000 to 2013. In this report, we also draw upon the responses of nearly 7,000 public, private, and civil society leaders from AidData’s novel 2014 Reform Efforts Survey to assess how national-level policymakers perceive the MDGs in light of their domestic reform priorities, and what this may mean for the SDGs.
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The majority of Countdown countries did not reach the fourth Millennium Development Goal (MDG 4) on reducing child mortality, despite the fact that donor funding to the health sector has drastically increased. When tracking aid invested in child survival, previous studies have exclusively focused on
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aid targeting reproductive, maternal, newborn, and child health (RMNCH). We take a multi-sectoral approach and extend the estimation to the four sectors that determine child survival: health (RMNCH and non-RMNCH), education, water and sanitation, and food and humanitarian assistance (Food/HA). Methods and findings: Using donor reported data, obtained mainly from the OECD Creditor Reporting System and Development Assistance Committee, we tracked the level and trends of aid (in grants or loans) disbursed to each of the four sectors at the global, regional, and country levels. We performed detailed analyses on missing data and conducted imputation with various methods. To identify aid projects for RMNCH, we developed an identification strategy that combined keyword searches and manual coding. To quantify aid for RMNCH in projects with multiple purposes, we adopted an integrated approach and produced the lower and upper bounds of estimates for RMNCH, so as to avoid making assumptions or using weak evidence for allocation. We checked the sensitivity of trends to the estimation methods and compared our estimates to that produced by other studies. Our study yielded time-series and recipient-specific annual estimates of aid disbursed to each sector, as well as their lower- and upper-bounds in 134 countries between 2000 and 2014, with a specific focus on Countdown countries. We found that the upper-bound estimates of total aid disbursed to the four sectors in 134 countries rose from US$ 22.62 billion in 2000 to US$ 59.29 billion in
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The biennium 2020–2021 has revealed more clearly than ever the need for a strong, credible and independent WHO on the world stage. The coronavirus disease (COVID-19) crisis has demonstrated the fundamental importance of the global detection, response and coordination roles that only WHO can play a
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cross all Member States. At the same time, the challenges to global health systems and the pressure to ensure equal access to quality health care and the best health possible for all have mounted. The triple billion targets of the Thirteenth General Programme of Work, 2019–2023 remain relevant. The work of WHO in all contexts has never been more critical. However, as several Member States have pointed out, the COVID-19 pandemic has highlighted the discrepancy between what the world expects of WHO and what it is able to deliver with the resources/capacity it has at its disposal. Sustainable financing is thus a key challenge for the Organization that must be addressed as part of the lessons learned from the current COVID-19 pandemic. Member States discussed this issue in detail during the Seventy-third World Health Assembly and their conclusions were reflected in resolution WHA73.1 (2020). The topic of adequate funding is not new. However, discussions on the matter have, to date, remained rather abstract. Building on previous discussions and taking account of lessons learned, the WHO Secretariat would like to initiate a process aimed at finding a concrete solution to the sustainable financing of WHO. This document proposes a process through which to arrive at such a decision, including the key stages and timeline.
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We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodology to test the effect of Chinese aid on three important development outcomes: education, health, and nu
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trition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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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
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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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Strengthening resource tracking and monitorig health expanditure
Cholera remains an issue of major public health importance in Kenya. Kenya has in recent years experienced outbreaks affecting different parts of the country
It is widely understood that the food insecurity crisis in the Sahel and the Horn of Africa is one of the world’s fastest growing and most neglected crises. It lacks sufficient global focus, resources and urgency. As in so many crises, women and girls are disproportionately affected and shoulder t
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he consequences of protracted neglect, with unconscionable impacts on their safety, life chances and agency.
Gaining a holistic view of the gendered drivers, risks and impacts of food insecurity in the Sahel and the Horn of Africa is difficult. This is due to a lack of data and prioritization, and the large geographical and socioeconomic terrain covered by both regions. However, what we do know about this crisis is more than enough to urgently address the needs of women and girls.
An OCHA discussion paper on this topic (which will be published imminently, and from which this policy brief is drawn) found that there is:
A strong risk of profound regression in gender equality gains made to date in the countries of concern, including on education, sexual and reproductive health, and the economic independence of women and girls (with knock-on effects on broader humanitarian and development outcomes).
An increasing challenge to reverse what must be recognized as a protracted and growing gender-based violence (GBV) emergency in the Sahel and the Horn of Africa.
The food insecurity crisis in the Sahel and the Horn of Africa is protracted, multidimensional and highly gendered, with spiralling impacts on gender equality and food security outcomes. It is driven by interwoven and overlapping factors, including climate change, political instability, conflict, socioeconomic conditions, migration and displacement and, more recently, COVID-19 and the war in Ukraine. Interlinked with these factors are gendered structural drivers of food insecurity, including deeply entrenched gender inequalities and harmful social norms. Gendered risks and impacts of food insecurity include alarming limitations on access to education, sexual and reproductive health rights, women’s agency and participation, and dramatic increases in different existing forms of GBV and the emergence of new ones. Recognition of such gendered dimensions of food insecurity and of the need for a multisectoral approach in the response is key to addressing the crisis, along-side sustained commitment and adequate allocation of resources. This policy brief draws out key findings from the OCHA discussion paper on this topic, which includes a desk review of studies, assessments and reports, and interviews with local women’s organizations on the front lines of the food insecurity crisis in communities across both regions.
Below are the most pressing gendered drivers, risks and impacts of food insecurity (not in order of priority), as well as key gaps in the current humanitarian response to food insecurity, and recommendations to take forward.
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The burden of diabetes is enormous, positioning it as one of the main challenges facing public health today. Currently, it is estimated that 62 million people are living with diabetes in the Region of the Americas and projections show its prevalence will continue rising over the following years. The
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Region shows the highest number of years of healthy life lost (through either disability or premature death) due to diabetes worldwide. The high costs associated with its treatment produce a heavy economic burden. Its complications can seriously affect the quality of life of people living with diabetes, their families, and society and overload health systems. This report shows the latest internationally comparable data on diabetes and its main risk factors by year, country, and sex.
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La carga de la diabetes es enorme, posicionándola como uno de los principales desafíos que enfrenta la salud pública en la actualidad. Actualmente, se estima que 62 millones de personas viven con diabetes en la Región de las Américas y las proyecciones muestran que su prevalencia seguirá aumen
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tando en los próximos años. La Región muestra el mayor número de años de vida saludable perdidos (ya sea por discapacidad o muerte prematura) debido a la diabetes en todo el mundo. Los altos costes asociados a su tratamiento producen una pesada carga económica. Sus complicaciones pueden afectar seriamente la calidad de vida de las personas que viven con diabetes, sus familias y la sociedad y sobrecargar los sistemas de salud. Este informe muestra los últimos datos comparables internacionalmente sobre la diabetes y sus principales factores de riesgo por año, país y sexo. También incluye un resumen de la respuesta de los sistemas de salud de los países a la diabetes, incluidos planes nacionales, objetivos, vigilancia, directrices y acceso a medicamentos y tecnologías esenciales, y sintetiza información sobre las complicaciones relacionadas con la diabetes y la estrecha relación entre la diabetes y otras patologías, como enfermedades cardiovasculares, tuberculosis y COVID-19.
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Cholera remains a significant public health threat in many countries worldwide. In resource-constrained settings, it disproportionately affects thousands of poor and vulnerable population
