Neglected Dimensions of Global Security: The Global Health Risk Framework Commission

The world has experienced global health crises ranging from novel influenzas (H5N1 and H1N1) and coronaviruses (SARS and MERS) to the Ebola and Zika viruses. In each case, governments and international organizations seemed unable to react quickly and decisively. Health crises have unmasked critical vulnerabilities— weak health systems, failures of leadership, and political overreaction and underreaction. The Global Health Risk Framework Commission, for which the National Academy of Medicine served as the secretariat, recently set out a comprehensive strategy to safeguard human and economic security from pandemic threats

Public Health in the Age of Ebola in West Africa

The Ebola epidemic, with its fast-growing toll and real potential for spreading into much of Africa, including major cities, has the makings of a “Black Swan” event. Such events, using the term coined by Nassim Nicholas Taleb, are: 1) unpredictable, outside the realm of regular expectations; 2) have a major impact, and; 3) are rationalized after the fact as being explainable and predictable. We have learned from this outbreak the potential for an infectious disease to be politically, economically, and socially destabilizing, and that what kills us may be very different from what frightens us or substantially affects our social systems. This has important implications for resource allocation. Health threats like Ebola may not have historically have not killed large numbers of people, but because of possible scenarios under which they can have a devastating impact, require a greater share of limited resources, such as for developing a vaccine. More creative imagination is needed in considering future infectious disease scenarios and in planning accordingly. Further, this Ebola epidemic could transform global governance for health. It demonstrates the need for fundamental reform at the WHO, including for greater funding, as WHO\u27s response–unable to mobilize sufficient funding, too slow to declare this a Public Health Emergency of International Concern–indicates that the Organization is presently poorly positioned to fulfill its constitutional role as the global health authority. Meanwhile, the leadership role that the United Nations is assuming suggests the emergence of an era of direct United Nations engagement in health threats that could destabilize nations and regions

Modeling viral infectious diseases and development of antiviral therapies using human induced pluripotent stem cell-derived systems

The recent biotechnology breakthrough of cell reprogramming and generation of induced pluripotent stem cells (iPSCs), which has revolutionized the approaches to study the mechanisms of human diseases and to test new drugs, can be exploited to generate patient-specific models for the investigation of host-pathogen interactions and to develop new antimicrobial and antiviral therapies. Applications of iPSC technology to the study of viral infections in humans have included in vitro modeling of viral infections of neural, liver, and cardiac cells; modeling of human genetic susceptibility to severe viral infectious diseases, such as encephalitis and severe influenza; genetic engineering and genome editing of patient-specific iPSC-derived cells to confer antiviral resistance

Evolution of a transdisciplinary "One Medicine-One Health" approach to global health education at the University of California, Davis.

In today's world health events in one nation or geographic area often have repercussions for the health and well-being of populations beyond that region; sometimes even globally. In recent years many factors, most notably concern about emerging infectious diseases, have contributed to an increasing appreciation of the interdependency of human, animal and ecosystem health worldwide. Integrated global approaches to improve the health of humans, animals and their shared environments are proving to be in the best interest of many countries. A special symposium and award were established in memoriam to the internationally renowned epidemiologist, Dr. Calvin W. Schwabe, who (while at the University of California, Davis) was a significant advocate of the "One Medicine" approach to public health, calling upon all health professionals, including veterinarians, to work collaboratively and comparatively to improve human health. This paper discusses the evolution of the "One Medicine" concept into a global "One Health" approach to research, training capacity and service infrastructure, focused not only on disease, but also on health at the individual, population, and ecosystem levels. Projects involving UCD faculty which attempt to integrate a One Health approach include the Health for Animals and Livelihood Improvement (HALI) Project in Tanzania, Envirovet Summer Institute, Avian Flu School and Newcastle Immunization Program in Africa, a web-based virtual global health training program, and the Calvin Schwabe One Health Project

Global disease monitoring and forecasting with Wikipedia

Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data such as social media and search queries are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with $r^2$ up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.Comment: 27 pages; 4 figures; 4 tables. Version 2: Cite McIver & Brownstein and adjust novelty claims accordingly; revise title; various revisions for clarit