K-core robustness in ecological and financial networks.

In many real-world networks, the ability to withstand targeted or global attacks; extinctions; or shocks is vital to the survival of the network itself, and of dependent structures such as economies (for financial networks) or even the planet (for ecosystems). Previous attempts to characterise robustness include nestedness of mutualistic networks or exploration of degree distribution. In this work we present a new approach for characterising the stability and robustness of networks with all-positive interactions by studying the distribution of the k-shell of the underlying network. We find that high occupancy of nodes in the inner and outer k-shells and low occupancy in the middle shells of financial and ecological networks (yielding a "U-shape" in a histogram of k-shell occupancy) provide resilience against both local targeted and global attacks. Investigation of this highly-populated core gives insights into the nature of a network (such as sharp transitions in the core composition of the stock market from a mix of industries to domination by one or two in the mid-1990s) and allow predictions of future network stability, e.g., by monitoring populations of "core" species in an ecosystem or noting when stocks in the core-dominant sector begin to move in lock-step, presaging a dramatic move in the market. Moreover, this "U-shape" recalls core-periphery structure, seen in a wide range of networks including opinion and internet networks, suggesting that the "U-shaped" occupancy histogram and its implications for network health may indeed be universal.

Priorities in research on foodborne parasites indicated by short-term scientific missions as part of COST Action a European Network for Foodborne Parasites (Euro-FBP).

The European Cooperation in Science and Technology (COST) is a funding organization for the creation of research networks. These networks support collaboration and networking among scientists across Europe and thereby give impetus to research advancements and innovation. One of the most important mechanisms of COST actions are the short-term scientific missions (STSM), which are a funding mechanism that enables scientists, particularly those earlier in their careers, to visit an institution or laboratory in another COST Member state in order to learn techniques that will enhance their skills and improve the scientific knowledge of their institution. The European Network for Foodborne Parasites (Euro-FBP; FA1408) was a COST Action that ended in early 2019, which brought together different experts with knowledge and interest on a broad spectrum of different foodborne parasites of relevance in Europe. In the course of the Euro-FBP COST Action, 32 such STSM occurred. This article provides a short overview of the short-term scientific missions that were approved during this action, as well as the relation of these actions to several relevant socio-economic parameters. The subjects of these STSM, the majority of which were concerned with detection techniques, probably reflect the priorities for research skills on foodborne parasites in Europe.

A generally applicable lightweight method for calculating a value structure for tools and services in bioinformatics infrastructure projects.

Sustainable noncommercial bioinformatics infrastructures are a prerequisite to use and take advantage of the potential of big data analysis for research and economy. Consequently, funders, universities and institutes as well as users ask for a transparent value model for the tools and services offered. In this article, a generally applicable lightweight method is described by which bioinformatics infrastructure projects can estimate the value of tools and services offered without determining exactly the total costs of ownership. Five representative scenarios for value estimation from a rough estimation to a detailed breakdown of costs are presented. To account for the diversity in bioinformatics applications and services, the notion of service-specific 'service provision units' is introduced together with the factors influencing them and the main underlying assumptions for these 'value influencing factors'. Special attention is given on how to handle personnel costs and indirect costs such as electricity. Four examples are presented for the calculation of the value of tools and services provided by the German Network for Bioinformatics Infrastructure (de.NBI): one for tool usage, one for (Web-based) database analyses, one for consulting services and one for bioinformatics training events. Finally, from the discussed values, the costs of direct funding and the costs of payment of services by funded projects are calculated and compared.

[Adapting the service portfolio of a public health organisation to shrinking resources]. / Adaptación de los servicios de una organización de salud pública a la disminución de los recursos.

This paper describes the review process of the Agency of Public Health of Barcelona's service portfolio in response to the budget cuts introduced since 2010 in the public administrations in Spain. A working group reviewed the different business activities, taking into account their costs and generated revenue and their justification, assessing factors such as the existence of legal constraints, tied funding, explicit demands from the founding administrations and other actors that may be capable of undertaking particular activities. The changes and their consequences are described. The new service portfolio has been consolidated and is considered ratified by the Agency board, which was renewed after political changes. We conclude that this is because it was based on professional consensus and management criteria, which are key for the smooth operation of a public autonomous executive organisation.

The Feasibility of the Nationwide Health Information Network.

The Nationwide Health Information Network (NHIN) use in health care facilities was examined for utilization and efficacy; although the advantages are abundant, health care facilities have been reluctant to adopt it because of associated costs. The purpose of this study was to analyze the feasibility of a US NHIN by exploring and determining the benefits of an NHIN and assessing the barriers to its implementation. The research methodology applied in examining the implementation of NHIN in the United States was a qualitative literature review, which followed the basic guidelines of a systematic literature review, partnered with a semistructured interview of a chief information officer of a private, nonprofit, 193-bed hospital located in Westminster, Maryland. A total of 33 sources were referenced. The results of this study suggest that implementation and utilization of NHIN by health care industry stakeholders lead to an increased quality of patient care, increased patient-provider communication, and cost-savings opportunities. Increased quality of care is achieved by reducing adverse drug events and medical errors. Cost-savings opportunities are generated by a reduction in spending and prices that is attributable to electronic health record systems' increased efficiency and effectiveness. Nevertheless, barriers to NHIN implementation and utilization still remain throughout the health care industry, the main one being concerns about interoperability.

Monitoring the web to support vaccine coverage: results of two years of the portal VaccinarSì.

OBJECTIVES: The increasingly widespread use of the Internet by the population to collect information regarding health and medical treatments and the circulation of many non-scientific documents on the effectiveness and safety of vaccines has led the Italian Society of Hygiene (SItI), in 2013, to promote a portal to provide scientific information that is verified and easily understood to counteract the rampant misinformation on health treatments and combat the phenomenon of vaccine hesitancy. METHODS: The project was launched in May 2013 and provides a portal with six main sections (vaccine preventable diseases, registered vaccines, benefits and risks of vaccination, against misinformation, pros & cons and travel immunizations) and other headings that relate to scientific events, comics and news coverage concerning vaccines. The contents are validated and evaluated by a scientific committee of high profile scientists and experts in computer-mediated communication. RESULTS: In the first two years of activity, the portal has published more than 250 web pages on all aspects related to vaccinations. The number of individual users was 860,411, with a constant increase over time. Of these, about 21.7% returned to the website at least once. The total visits in 24 months were 1,099,670, with a total page count of 2,530,416. The frequency of contact was almost exclusively Italian (95.6%), with a higher proportion of males (54.1%) and younger age groups (25-34 years, 33.5%, and18-24 years, 27.5%). The data also show a significant position of the website in the major web search engines. The website has been certified by the Health On the Net Foundation. It is connected with the main social networks and it has recently opened its first regional section (Veneto). CONCLUSIONS: The strong, progressive increase in web contacts, the involvement of several institutional bodies, and the appreciation of various stakeholders give an absolutely positive assessment of the first two years of the VaccinarSì project. The success of the website suggests future developments, with updates, sections devoted to regional problems, in-depth news analysis, and international expansion. The authors conclude that initiatives like this are to be implemented and constitute an effective way to counteract vaccine hesitancy.

The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss.

OBJECTIVE: With the ARX data anonymization tool structured biomedical data can be de-identified using syntactic privacy models, such as k-anonymity. Data is transformed with two methods: (a) generalization of attribute values, followed by (b) suppression of data records. The former method results in data that is well suited for analyses by epidemiologists, while the latter method significantly reduces loss of information. Our tool uses an optimal anonymization algorithm that maximizes output utility according to a given measure. To achieve scalability, existing optimal anonymization algorithms exclude parts of the search space by predicting the outcome of data transformations regarding privacy and utility without explicitly applying them to the input dataset. These optimizations cannot be used if data is transformed with generalization and suppression. As optimal data utility and scalability are important for anonymizing biomedical data, we had to develop a novel method. METHODS: In this article, we first confirm experimentally that combining generalization with suppression significantly increases data utility. Next, we proof that, within this coding model, the outcome of data transformations regarding privacy and utility cannot be predicted. As a consequence, existing algorithms fail to deliver optimal data utility. We confirm this finding experimentally. The limitation of previous work can be overcome at the cost of increased computational complexity. However, scalability is important for anonymizing data with user feedback. Consequently, we identify properties of datasets that may be predicted in our context and propose a novel and efficient algorithm. Finally, we evaluate our solution with multiple datasets and privacy models. RESULTS: This work presents the first thorough investigation of which properties of datasets can be predicted when data is anonymized with generalization and suppression. Our novel approach adopts existing optimization strategies to our context and combines different search methods. The experiments show that our method is able to efficiently solve a broad spectrum of anonymization problems. CONCLUSION: Our work shows that implementing syntactic privacy models is challenging and that existing algorithms are not well suited for anonymizing data with transformation models which are more complex than generalization alone. As such models have been recommended for use in the biomedical domain, our results are of general relevance for de-identifying structured biomedical data.

Health Information Economy: Literature Review.

INTRODUCTION: Health Information Economy (HIE) is one of the broader, more complex, and challenging and yet important topics in the field of health science that requires the identification of its dimensions for planning and policy making. The aim of this study was to determine HIE concept dimensions. METHODS: This paper presents a systematic methodology for analyzing the trends of HIE. For this purpose, the main keywords of this area were identified and searched in the databases and from among 4775 retrieved sources, 12 sources were studied in the field of HIE. RESULTS: Information Economy (IE) in the world has passed behind four paradigms that involve the information evaluation perspective, the information technology perspective, the asymmetric information perspective and information value perspective. In this research, the fourth perspective in the HIE was analyzed. The main findings of this research were categorized in three major groups, including the flow of information process in the field of health (production. collection, processing and dissemination), and information applications in the same field (education, research, health industry, policy, legislation, and decision-making) and the underlying fields. CONCLUSION: According to the findings, HIE has already developed a theoretical and conceptual gap that due to its importance in the next decade would be one of the research approaches to health science.

Infrastructure to support learning health systems: are we there yet? Innovative solutions and lessons learned from American Recovery and Reinvestment Act CER investments.

The 11 big health data networks participating in the AcademyHealth Electronic Data Methods Forum represent cutting-edge efforts to harness the power of big health data for research and quality improvement. This paper is a comparative case study based on site visits conducted with a subset of these large infrastructure grants funded through the Recovery Act, in which four key issues emerge that can inform the evolution of learning health systems, including the importance of acknowledging the challenges of scaling specialized expertise needed to manage and run CER networks; the delicate balance between privacy protections and the utility of distributed networks; emerging community engagement strategies; and the complexities of developing a robust business model for multi-use networks.

International trends in health science librarianship Part 10: The Greater China area.

This is the 10th in a series of articles exploring international trends in health science librarianship. This issue describes developments in health science librarianship in the first decade of the 21st century in China, Hong Kong and Taiwan. The next issue will report on Japan and South Korea. JM.

Aggregate health data in the United States: steps toward a public good.

The rise of electronic medical records promotes the collection and aggregation of medical data. These data have tremendous potential utility for health policy and public health; yet there are gaps in the scholarly literature. No articles in the medical or legal literature have mapped the "information flows" from patient to database, and commentary has focused more on privacy than on data's social value and incentives for production. Utilizing short case studies of data flows, I show that ample data exist, much of them are available online through government websites or hospital trade associations. However, available information comes from billing records rather than medical records. Turning to legal and policy recommendations for better provision, I note that weak intellectual property law has ironically led to stronger control over health data through private contracts and technological barriers, as these methods of protection lack any exceptions for noncommercial use. I conclude with a series of policy proposals to make data more available.

A review of the role of cost-benefit analyses in 2-1-1 diffusion.

CONTEXT: The 2-1-1 helpline is a social services innovation that has spread rapidly throughout the U.S. Policy diffusion theory suggests that policymakers seek to reduce uncertainty by anticipating the effects of a proposed innovation through tools such as cost-benefit analyses. Few policy diffusion studies have examined use of information, such as cost-benefit analyses, in the diffusion process. The purpose of this study is to examine how cost-benefit analyses were used during the rapid diffusion of 2-1-1 across states. The paper also describes components of 2-1-1 cost-benefit analyses. EVIDENCE ACQUISITION: In 2011, cost-benefit analyses of 2-1-1 and substantive citations of them were identified through scholarly key word searches using Academic Search Premier and Web of Science, general Internet searches using Google search terms, and communications with academicians and 2-1-1 practitioners through personal contact and e-mail discussion groups. To be included in this study, documents had to be related to 2-1-1 helplines, present information about their costs and benefits, and be formal documents. The documents were catalogued and analyzed for cost-benefit analyses or references to analyses, and stated purpose. EVIDENCE SYNTHESIS: Of the 19 documents that met eligibility inclusion criteria, nine were original cost-benefit analyses and ten referenced analyses conducted for other jurisdictions. CONCLUSIONS: The diffusion of 2-1-1 helplines in the U.S. has been influenced by interjurisdictional exchange of cost-benefit analyses, in both the creation of original analyses and/or the referencing of previous work.

Organizational challenges in developing one of the Nationwide Health Information Network trial implementation awardees.

Health care in the United States is rarely delivered in a coordinated manner. Current methods to share patient information are inefficient and may lead to medical errors, higher readmission rates, and delays in the delivery of needed health services. This qualitative study describes lessons learned concerning the early implementation of one Nationwide Health Information Network (NHIN) site in Long Beach, CA during its first year of operation. The Long Beach Network for Health (LBNH) focused on an incremental effort to exchange health information. Despite a limited concentration on emergency department care, virtually all respondents noted concerns regarding the sustainability, or business case, for the exchange of health information. Nevertheless, respondents were encouraged by progress on technological challenges and user requirements during this first year. The early gains in this process may, in turn, have laid the groundwork for future efforts to expand beyond the emergency department.

Prosocial behavior on the Net.

Volunteers and charitable organizations contribute significantly to community welfare through their prosocial behavior: that is, discretionary behavior such as assisting, comforting, sharing, and cooperating intended to help worthy beneficiaries. This essay focuses on prosocial behavior on the Internet. It describes how offline charitable organizations are using the Net to become more efficient and effective. It also considers entirely new models of Net-based volunteer behavior directed at creating socially beneficial information goods and services. After exploring the scope and diversity of online prosocial behavior, the essay focuses on ways to encourage this kind of behavior through appropriate task and social structures, motivational signals, and trust indicators. It concludes by asking how local offline communities ultimately could be diminished or strengthened as prosocial behavior increases online.

HIE sustainability secrets. NeHC report shares HIE success stories of alternate revenue streams and payer buy-in.

Getting effective stakeholder engagement, including that of payers, and creating innovative value-added services that provide alternate revenue streams beyond basic subscription services, are just a couple of the common traits of the flourishing health information exchanges profiled in the sustainability report released in August by the National eHealth Collaborative.

A community-based partnership to promote information infrastructure for bleeding disorders.

Specialists in rare disorders often face challenges in collecting surveillance and research data. As movement toward more fully realizing the potential of electronic health information gains momentum, practitioners who treat individuals with rare disorders are in need of public-private support to tap into the advantages offered by the developing electronic information technologies and the interoperability standards promulgated by the USDHHS. The not-for-profit American Thrombosis and Hemostasis Network (ATHN) was created in 2006 to provide stewardship of a secure, national, web-based database to support federally funded hemophilia treatment centers (HTCs) across the country. In pursuit of its mission to support clinical outcomes analysis, research, advocacy, and public health reporting in the hemostasis and thrombosis community, ATHN has established a spectrum of community-based partnerships. This paper describes the process and public health benefits of creating formal relationships with 127 of the 134 HTCs from 12 regional networks across the U.S., government agencies such as the CDC, Health Resources and Services Administration, and NIH; consumer-based organizations; and industry leaders. This community-based partnership model can be applied to other rare disorders communities with high economic and public health impact.