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Chagas disease is currently endemic and also predicted to be at increased transmission risk under future climate change scenarios. Similarly, an expansion of areas in the United States at increased risk for Chagas disease transmission is also expected over the next several decades under climate chan
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ge scenarios. Of particular interest is the predicted northern shift of triatomine species to central regions of the United States with historically unsuitable climates for T. cruzi vectors. The weight of evidence regarding the influences climate change may pose on T. cruzi vector species distributions demonstrates the sensitivity of Chagas disease transmission to future climate variability. In order to advance forecasts for the impact climate change may have on Chagas disease transmission in the Americas, it is imperative to
further develop, utilize, and perhaps combine predictive species distribution modeling approaches that integrate accurate, long term data on climate variables, vector species distributions, Chagas disease incidence, as well as other socio-ecological variables.
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La enfermedad de Chagas, también llamada tripanosomiasis americana, sigue siendo endémica en 21 países de América Latina. Sin embargo, como consecuencia de las migraciones, la urbanización, la intensificación del turismo, la modificación de las estrategias agrícolas y el cambio climático, l
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a enfermedad ha traspasado el marco rural y el ámbito latinoamericano que le dieron identidad durante decenios, y ha logrado instalarse en la periferia de las ciudades del área endémica y en países de América del Norte, Europa, Asia y Oceanía y transformarse en un problema de salud pública global. Teniendo en cuenta que el Chagas afecta a poblaciones en situación de pobreza en las que produce graves consecuencias para la salud y la economía de las personas infectadas, y que los recursos orientados a fomentar el desarrollo de proyectos de investigación, estrategias de control y planes de atención médica a los pacientes detectados son escasos, la Organización Mundial de la Salud (OMS) incorporó esta enfermedad al grupo de enfermedades infecciosas desatendidas (EID) en el año 2005. Se reconoce actualmente la naturaleza multidimensional de la enfermedad de Chagas, cuya caracterización contempla una intrincada trama de aspectos socioculturales, políticos, biológicos, ambientales y sanitarios. Parte sustancial de todo ello radica en el carácter zoonótico de la endemia y la consiguiente imposibilidad de su erradicación. Por ende, resulta muy complicada la construcción de la ruta crítica para enfrentar esta enfermedad, con la aspiración o el objetivo de su eliminación como problema de salud pública. El propósito de esta guía es ofrecer a los Estados Miembros un instrumento que permita actualizar y estandarizar los procesos de evaluación del control, verificación de la interrupción de la transmisión, y validación de la eliminación de la enfermedad de Chagas como problema de salud pública, en consonancia con: a) la Estrategia y plan de acción para la prevención, el control y la atención de la enfermedad de Chagas; b) el Plan de acción para la eliminación de las enfermedades infecciosas desatendidas y las medidas posteriores a la eliminación 2016-2022; c) el Plan de acción sobre entomología y control de vectores 2018-2023; d) guías o procedimientos operativos estandarizados existentes para la verificación o validación de la eliminación de otras enfermedades infecciosas desatendidas (EID) como la oncocercosis, la filariasis linfática y el tracoma, y e) Enfermedades tropicales desatendidas. Prevención, control, eliminación, erradicación.
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Dengue Vaccines: Current Status and Future Prospects
Driving progress towards rabies elimination: Results of Gavi’s Learning Agenda on rabies and new WHO position on rabies immunization
Fexinidazole and Human African Trypanosomiasis: good news for this important neglected tropical disease
Bayão T.S., Cupertino M.C., Gomes A.P. et al
Journal of the Brazilian Society of Tropical Medicine
(2019)
C2
Human African trypanosomiasis (HAT), or sleeping sickness, is an endemic disease in 36 sub-Saharan African countries, typically occurring in underdeveloped areas, where
health systems face significant difficulties of diverse natures.
This report presents the results of the official United Nations estimates and projections of urban and rural populations for 233 countries and areas of the world and for close to 1,900 urban settlements with 300,000 inhabitants or more in 2018, as published in World Urbanization Prospects: The 2018
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Revision. The data in this revision are consistent with the total populations estimated and projected according to the medium variant of the 2017 Revision of the United Nations global population estimates and projections, published in World Population Prospects: The 2017 Revision. This revision updates and supersedes previous estimates and projections published by the United Nations.
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Accelerator Discussion Paper 1: Sustainable Financing
Global Fund, World Bank Group, Gavi, the Vaccine Alliance et al.
World Health Organization (WHO)
(2019)
CC
The Global Action Plan for Healthy Lives and Well-being for All (SDG3 GAP) is a set of commitments by 13 multilateral agencies to strengthen their collaboration. For this purpose several accelerators were created and an invitation for public comment was started. This document focuses on Accelerator
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Discussion Paper 1: Sustainable Financing.
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SDG Costing & Financing for Low-Income Developing Countries
Sachs, J.; G. McCord; N. Maennling et al.
UN Sustainable Development Solutions Network (SDSN)
(2019)
CC
The Sustainable Development Goals (SDGs) call for major societal transformations that will require significant fiscal outlays as well as private investments. The fiscal outlays cover public investments, the public provision of social services, and social protection for vulnerable populations. The ke
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y message of this paper, building on recent reports by the IMF and SDSN (IMF, 2019b; SDSN, 2018) is that the governments of Low-Income Developing Countries (LIDCs) will require a substantial increase in fiscal (budget) revenues, far beyond what they can achieve by their own fiscal reforms. For this reason, SDG financing will require substantial international cooperation to enable the LIDCs to finance their SDG fiscal outlays. One important source of increased revenues should be the globally coordinated taxation of ultra-high-net worth assets. Today’s ultra-rich should help to pay for the survival and basic needs of the world’s poorest people.
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Background and aims: Current coverage of mental health care in low- and middle-income countries is limited, not only in terms of access to services but also in terms of financial protection of persons in need of care and treatment. This is especially pertinent considering the established relationshi
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p between mental illness and poverty and the need to ensure the financial risk protection of persons with mental disorders and their families as part of country's efforts to attain universal health coverage. This study set out to review the health and socio-economic contexts of Nigeria as well as to generate strategies for sustainable mental health financing that will be feasible, within the specific context of the country.
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As a deliverable of the G20 Health and Finance Ministers' Meeting on June 28, 2019, ministers confirmed their commitment to this "G20 Shared Understanding."
Background: Primary health care (PHC) is a driving force for advancing towards universal health coverage (UHC). PHC-oriented health systems bring enormous benefits but require substantial financial investments. Here, we aim to present measures for PHC investments and project the associated resource
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needs. Methods: This modelling study analysed data from 67 low-income and middle-income countries (LMICs). Recognising the variation in PHC services among countries, we propose three measures for PHC, with different scope for included interventions and system strengthening. Measure 1 is centred on public health interventions and outpatient care; measure 2 adds general inpatient care; and measure 3 further adds cross-sectoral activities. Cost components included in each measure were based on the Declaration of Astana, informed by work delineating PHC within health accounts, and finalised through an expert and country validation meeting. We extracted the subset of PHC costs for each measure from WHO’s Sustainable Development Goal (SDG) price tag for the 67 LMICs, and projected the associated health impact. Estimates of financial resource need, health workforce, and outpatient visits are presented as PHC investment guide posts for LMICs.
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The majority of developing countries will fail to achieve their targets for Universal Health Coverage (UHC)1 and the health- and poverty-related Sustainable Development Goals (SDGs) unless they take urgent steps to strengthen their health financing. Just over a decade out from the SDG deadline of 20
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30, 3.6 billion people do not receive the most essential health services they need, and 100 million are pushed into poverty from paying out-of-pocket for health services. The evidence is strong that progress towards UHC, core to SDG 3, will spur inclusive and sustainable economic growth, yet this will not happen unless countries achieve high-performance health financing, defined here as funding levels that are adequate and sustainable; pooling that is sufficient to spread the financial risks of ill-health; and spending that is efficient and equitable to assure desired levels of health service coverage, quality, and financial protection for all people— with resilience and sustainability.
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Die Finanzierung der allgemeinen Gesundheitsversorgung in den wirtschaftlich benachteiligten Ländern
Die weltweite Ungleichheit bei der Verteilung von Einkommen und Vermögen weit jenseits dessen, was sich durch Unterschiede der Belastung oder Verantwortung durch die jeweilige Arbeitstätigkeit begründen ließe, stellt schon für sich genommen eine gewaltige Ungerechtigkeit dar. Sie steht auch in
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einem gefährlichen Gegensatz zu unverzichtbaren Grundwerten des gesellschaftlichen Zusammenlebens wie menschliche Solidarität und gleichberechtigte Beteiligung an der demokratischen Willensbildung. Noch bedrohlicher ist aber, dass sie die benachteiligten Menschen ihrer Lebenschancen beraubt. Einerseits werden diese gezwungen, extreme Risiken einzugehen, um ihre wirtschaftliche Existenz zu sichern oder brutaler Gewalt und Verfolgung zu entkommen. Andererseits reichen die verfügbaren Ressourcen nicht aus, um wenigstens lebensbewahrende Gesundheitsdienste bereitzustellen. Der Beitrag analysiert die Finanzierung der allgemeinen Gesundheitsversorgung in wirtschaftlich benachteiligten Ländern, die als wesentliche Voraussetzung für die Verwirklichung der Agenda 2030 gelten.
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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.
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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Achieving the Sustainable Development Goals (SDGs) will require the international community to mobilize significant additional financing over the next decade. Tracking and analyzing this funding is central to measuring progress and making more informed choices to direct financial flows where they wi
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ll have the greatest impact. This brief highlights AidData’s updated methodology to track financing to the SDGs, providing a baseline of funding for the years immediately before and after their launch. To track SDG-related financing, we build on our 2017 pilot methodology. Using data from the OECD CRS database on all official development assistance between 2010 and 2016, we identify individual projects that are linked to specific SDG goals or targets and then quantify total financing by SDG. This brief highlights four countries that represent different development contexts and trajectories, exploring how a country’s individual context impacts its SDG-related donor funding by examining the composition of funding and financing trends. We also look at SDG financing from the perspective of donors to see how their own interests are reflected in development portfolios across different countries.
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Administrator’s Report on Financial Status as of March 20, 2019 of the Afghanistan Reconstruction Trust Fund (ARTF): Total donor indicated and actual (paid-in) contributions for the core ARTF for FY1398 amount to US$351.94 million, of which US$240.47 million (68%) are without preference and US$111
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.47 million (32%) are preferenced. In addition, US$31.60 million has been intended in funding under the Ad Hoc Payments (AHP) facility. Table 1 reflects total donor indicated contributions and paid-in amounts, including AHP.
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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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