Scientific Brief, 17 June 2020
In contrast to bilateral aid, aid disbursed from
multilateral institutions increased significantly at the onset
of the COVID-19 pandemic. Yet, at a time when a coherent
and effective multilateral response is needed most, the
COVID-19 pandemic revealed a shifting landscape of donor
agencies that... struggle with basic functions, such as crossnational coordination. While multilaterals are uniquely
positioned to transcend national priorities and respond
to pandemics, functionally we find official development
assistance (ODA) from these entities may increasingly
mimic the attributes of bilateral aid. We explore three
important, but not comprehensive, attributes of aid leading
up to and during the COVID-19 pandemic: (1) earmarking,
(2) donor concentration and (3) aid modality.
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Nutrition data and information systems (ND&IS) are critical to guide the prioritisation, collection, analysis and
dissemination of nutrition data in countries. However, there is limited guidance for countries regarding how to invest
in their ND&IS and little is known about current financing alloca...tions by both countries and donors
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Chronic Non Communicable Diseases. Case Management Desk Guide
The Impacts of Climate Change on Human Health
in the United States: A Scientific Assessment
Climate change is a significant threat to the health of the American people. This scientific assessment examines how climate change is already affecting human health and the changes that may occur in the fu...ture.
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A Practical Guide for Mental Health Service Providers
Humanitarian actors in emergencies often encounter challenges in knowing Who is Where, When, doing What (4Ws) with regard to mental health and psychosocial support (MHPSS). Such knowledge is essential to inform coordination. 4Ws tools are used in many areas of aid to map activities conducted across ...large geographical areas". This manual outlines the 4Ws with regard to mental health and psychosocial support for humanitarian actors with MHPSS coordinating responsibilities. The tool exists in two parts: a 4Ws data collection spreadsheets application (in excel online) and this manual which describes how to collect the data
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Introducción
Capítulo A.14
Edición: Matías Irarrázaval & Andres Martin
Revisión: Fernanda Prieto-Tagle & Neus Elias
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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Evidence for improving community health supply chains from Ethiopia, Malawi and Rwanda. Journal of Global Health vol. 4 No.2 (2014)
The “Case Study: CDI2WASH Program” depicts the benefits and lessons learnt by the beneficiaries and change agents in CDI2WASH program during the last 4 years. The document has contained the success of the project and accumulated learning have been documented in the publication. It upholds the ac...hievement of the process and will remain as the supportive document help while taking any types of WASH development interventions by any stakeholders.
No publication year indicated.
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BACKGROUND: Growing political attention to antimicrobial resistance (AMR) offers a rare opportunity for achieving meaningful action. Many governments have developed national AMR action plans, but most have not yet implemented policy interventions to reduce antimicrobial overuse. A systematic evidenc...e map can support governments in making evidence-informed decisions about implementing programs to reduce AMR, by identifying, describing, and assessing the full range of evaluated government policy options to reduce antimicrobial use in humans.
METHODS AND FINDINGS: Seven databases were searched from inception to January 28, 2019, (MEDLINE, CINAHL, EMBASE, PAIS Index, Cochrane Central Register of Controlled Trials, Web of Science, and PubMed). We identified studies that (1) clearly described a government policy intervention aimed at reducing human antimicrobial use, and (2) applied a quantitative design to measure the impact. We found 69 unique evaluations of government policy interventions carried out across 4 of the 6 WHO regions. These evaluations included randomized controlled trials (n = 4), non-randomized controlled trials (n = 3), controlled before-and-after designs (n = 7), interrupted time series designs (n = 25), uncontrolled before-and-after designs (n = 18), descriptive designs (n = 10), and cohort designs (n = 2). From these we identified 17 unique policy options for governments to reduce the human use of antimicrobials. Many studies evaluated public awareness campaigns (n = 17) and antimicrobial guidelines (n = 13); however, others offered different policy options such as professional regulation, restricted reimbursement, pay for performance, and prescription requirements. Identifying these policies can inform the development of future policies and evaluations in different contexts and health systems. Limitations of our study include the possible omission of unpublished initiatives, and that policies not evaluated with respect to antimicrobial use have not been captured in this review.
CONCLUSIONS: To our knowledge this is the first study to provide policy makers with synthesized evidence on specific government policy interventions addressing AMR. In the future, governments should ensure that AMR policy interventions are evaluated using rigorous study designs and that study results are published.
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