Cost-Effective Prevention of Diarrheal Diseases: A Critical Review

This paper critically reviews the existing research on the cost-effective prevention and treatment of diarrheal diseases, and identifies research priorities in this area aimed at finding ways to reduce the diarrheal disease burden. In contrast to the empirical knowledge base that exists for traditional child health programs to reduce diarrheal morbidity and mortality, evidence on the relative effectiveness and costeffectiveness of various environmental health interventions is limited and subject to significant methodological concerns. There is a limited understanding of the determinants of longterm water and sanitation technology adoption and behavior change at the individual level. Even less is known about how collective action problems in water and sanitation infrastructure maintenance can be overcome. An agenda for future research includes evaluating alternative transmission interruption mechanisms, improving understanding of the determinants of individual-level technology adoption in the water and sanitation sector, and assessing the quality of infrastructure maintenance under different management schemes.Diarrheal Diseases, Global Health,

From the Geography of Innovation to Development Policy Analysis: The GMR-approach

Knowledge based local economic development policies (often labeled also as 'cluster development' or policies designed to distribute Structural Funds over the EU territory within the framework of'“national development plans') are implemented with an explicit or implicit aim towards broader state, national or even supra national interests. The main issues are growth (at the supra regional level) and convergence (across regions). How different mixtures of the instruments of local development policies can help approach theses aims – or more precisely to what extent these policies may serve either of the targets or perhaps both of them? The related theoretical and empirical literature in the new economic geography, economic growth and the geography of innovation fields is extensive. However economic models drawing from this literature and constructed for the aim of evaluating actual development policy decisions in the light of the growth and convergence targets are rare. This paper serves two aims. First it explains a manner how the geography of innovation literature can contribute to develop a sub-model that can be used for assessing the static impacts of development policy interventions in the GMR-Hungary model. Second to demonstrate the power of such a model that incorporates the lessons from the geography of innovation literature policy simulation results with GMR at the regional, interregional and macro levels are provided.Innovation, development policy, regional growth

Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery

Report from a 2017 National Science Foundation workshop on promising research directions for applications of operations research and data analytics toward the disruption of illicit supply networks like human trafficking. The workshop was funded by the NSF’s Operations Engineering (ENG) and the Law & Social Sciences Program (SBE) under grant # CMMI-1726895. The report addresses the opportunity to apply advances from the fields of operations research, management science, analytics, machine learning, and data science toward the development of disruptive interventions against illicit networks. Such an extension of the current research agenda for trafficking would move understanding of such dynamic systems from descriptive characterization and predictive estimation toward improved dynamic operational control.Bureau of Business Researc

How does the composition of public spending matter?

Public spending has effects which are complex to trace and difficult to quantify. But the composition of public expenditure has become the key instrument by which development agencies seek to promote economic development. In recent years, the development assistance to heavily indebted poor countries (HIPCs) hasbeen made conditional on increased expenditure on categories that are thought to be"pro-poor". This paper responds to the growing concern being expressed about the conceptual foundations and the empirical basis for the belief that poverty can be reduced through targeted public spending. While it is widely accepted that growth and redistribution are important sources of reduction in absolute poverty, a review of the literature confirms the lack of an appropriate theoretical framework for assessing the impact of public spending on growth as well as poverty. There is a need to combine principles of both public economics and growth theory to develop appropriate theoretical guidance for public expenditure policy. This paper identifies a number of approaches that are beginning to address this gap. Building on these approaches, it proposes a framework that has its foundation in a broadly articulated development strategy and its economic goals such as growth, equity, and poverty reduction. It recommends the use of public economics principles to clarify the roles of the private and public sectors and to recognize the complementarity of spending, taxation, and regulatory instruments available to affect public policy. With regard to the impact of any given type of public spending, policy recommendations must be tailored to countries and be based on empirical analysis that takes account of the lags and leads in their effects on equity and growth and ultimately on poverty. The paper sketches out such a framework as the first step in what will have to be a longer-term research agenda to provide theoretically and empirically robust and verifiable guidance to public spending policy.Poverty Assessment,Achieving Shared Growth,Environmental Economics&Policies,Health Economics&Finance,Governance Indicators

Twenty questions about design behavior for sustainability, report of the International Expert Panel on behavioral science for design

How behavioral scientists, engineers, and architects can work together to advance how we all understand and practice design—in order to enhance sustainability in the built environment, and beyond.https://www.nature.com/documents/design_behavior_for_sustainability.pdfPublished versio

An application of hybrid life cycle assessment as a decision support framework for green supply chains

In an effort to achieve sustainable operations, green supply chain management has become an important area for firms to concentrate on due to its inherent involvement with all the processes that provide foundations to successful business. Modelling methodologies of product supply chain environmental assessment are usually guided by the principles of life cycle assessment (LCA). However, a review of the extant literature suggests that LCA techniques suffer from a wide range of limitations that prevent a wider application in real-world contexts; hence, they need to be incorporated within decision support frameworks to aid environmental sustainability strategies. Thus, this paper contributes in understanding and overcoming the dichotomy between LCA model development and the emerging practical implementation to inform carbon emissions mitigation strategies within supply chains. Therefore, the paper provides both theoretical insights and a practical application to inform the process of adopting a decision support framework based on a LCA methodology in a real-world scenario. The supply chain of a product from the steel industry is considered to evaluate its environmental impact and carbon ‘hotspots’. The study helps understanding how operational strategies geared towards environmental sustainability can be informed using knowledge and information generated from supply chain environmental assessments, and for highlighting inherent challenges in this process

Curr Epidemiol Rep

Purpose of review:System dynamics (SD) is an approach to solving problems in the context of dynamic complexity. The purpose of this review was to summarize SD applications in injury prevention and highlight opportunities for SD to contribute to injury prevention research and practice.Recent findings:While SD has been increasingly used to study public health problems over the last few decades, uptake in the injury field has been slow. We identified 18 studies, mostly conducted in the last 10 years. Applications covered a range of topics (e.g., road traffic injury; overdose; violence), employed different types of SD tools (i.e., qualitative and quantitative), and served a variety of research and practice purposes (e.g., deepen understanding of a problem, policy analysis).Summary:Given the many ways that SD can add value and complement traditional research and practice approaches (e.g., through novel stakeholder engagement and policy analysis tools), increased investment in SD-related capacity building and opportunities that support SD use are warranted.R49 CE002479/CE/NCIPC CDC HHS/United States2020-06-15T00:00:00Z31911889PMC69458207811vault:3438