The science behind One Health: at the interface of humans, animals, and the environment.

Humans face a grand quality-of-life challenge as growing demands for resources for an ever-expanding population threaten the existence of wildlife populations, degrade land, and pollute air and water. Public investment and policy decisions that will shape future interactions of humans, animals, and the environment need scientific input to help find common ground for durable and sustainable success. The Second International Conference on One Medicine One Science brought together a broad range of scientists, trainees, regulatory authorities, and health experts from 34 countries to inform and discuss the human impacts of air quality; the complexities of water quality, access, and conflicts; the opportunities and uncertainties in precision medicine; and the role of science communication in health policy formulation. Workshops focused on the roles and development of physician-scientists and multidisciplinary teams in complex problem solving, Big Data tools for analysis and visualization, international policy development processes, and health models that benefit animals and humans. Key realizations were that local and regional health challenges at the interface of humans, animals, and the environment are variations of the same overarching conflicts and that international gatherings provide new opportunities for investigation and policy development that are broadly applicable.

Advancing One Health Policy and Implementation Through the Concept of One Medicine One Science.

Numerous interspecies disease transmission events, Ebola virus being a recent and cogent example, highlight the complex interactions between human, animal, and environmental health and the importance of addressing medicine and health in a comprehensive scientific manner. The diversity of information gained from the natural, social, behavioral, and systems sciences is critical to developing and sustainably promoting integrated health approaches that can be implemented at the local, national, and international levels to meet grand challenges. The Concept of One Medicine One Science (COMOS) as outlined herein describes the interplay between scientific knowledge that underpins health and medicine and efforts toward stabilizing local systems using 2 linked case studies: the food system and emerging infectious disease. Forums such as the International Conference of One Medicine One Science (iCOMOS), where science and policy can be debated together, missing pieces identified, and science-based collaborations formed among industry, governmental, and nongovernmental policy makers and funders, is an essential step in addressing global health. The expertise of multiple disciplines and research foci to support policy development is critical to the implementation of one health and the successful achievement of global health security goals.

Los numerosos acontecimientos de transmisión de enfermedades entre especies, de los cuales el virus del Ébola es un ejemplo claro y reciente, ponen de manifiesto las complejas interacciones que existen entre la salud humana, animal y medioambiental, así como la importancia de abordar la medicina y la salud de una manera científica e integral. La diversidad de la información obtenida de las ciencias naturales, sociales, conductuales y de los sistemas es fundamental para el desarrollo y fomento sostenibles de enfoques integrados de salud que puedan implementarse a nivel local, nacional e internacional para atender los grandes retos. El concepto de Una medicina una ciencia (Concept of One Medicine One Science, COMOS) esbozado aquí describe la interrelación entre el conocimiento científico que sustenta la salud y la medicina, y los esfuerzos hacia la estabilización de los sistemas locales por medio de dos estudios de casos relacionados: el sistema alimentario y las enfermedades infecciosas emergentes. Los foros como la Conferencia internacional de una medicina una ciencia (International Conference of One Medicine One Science, iCOMOS), donde se hace posible el debate conjunto de la ciencia y la política, la identificación de eslabones perdidos, y la formación de colaboraciones basadas en la ciencia entre los formuladores y fundadores de políticas industriales, gubernamentales y no gubernamentales, representan un paso decisivo para abordar el tema de la salud mundial. La experiencia de múltiples disciplinas y enfoques de investigación para apoyar el desarrollo de políticas es fundamental para la implementación de una salud y el logro de los objetivos relativos a la seguridad de la salud mundial.

Evaluation of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) and the Collected Data.

To protect and secure food resources for the United States, it is crucial to have a method to compare food systems' criticality. In 2007, the U.S. government funded development of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) to determine which food and agriculture systems were most critical to the nation. FASCAT was developed in a collaborative process involving government officials and food industry subject matter experts (SMEs). After development, data were collected using FASCAT to quantify threats, vulnerabilities, consequences, and the impacts on the United States from failure of evaluated food and agriculture systems. To examine FASCAT's utility, linear regression models were used to determine: (1) which groups of questions posed in FASCAT were better predictors of cumulative criticality scores; (2) whether the items included in FASCAT's criticality method or the smaller subset of FASCAT items included in DHS's risk analysis method predicted similar criticality scores. Akaike's information criterion was used to determine which regression models best described criticality, and a mixed linear model was used to shrink estimates of criticality for individual food and agriculture systems. The results indicated that: (1) some of the questions used in FASCAT strongly predicted food or agriculture system criticality; (2) the FASCAT criticality formula was a stronger predictor of criticality compared to the DHS risk formula; (3) the cumulative criticality formula predicted criticality more strongly than weighted criticality formula; and (4) the mixed linear regression model did not change the rank-order of food and agriculture system criticality to a large degree.

One Medicine One Science: a framework for exploring challenges at the intersection of animals, humans, and the environment.

Characterizing the health consequences of interactions among animals, humans, and the environment in the face of climatic change, environmental disturbance, and expanding human populations is a critical global challenge in today's world. Exchange of interdisciplinary knowledge in basic and applied sciences and medicine that includes scientists, health professionals, key sponsors, and policy experts revealed that relevant case studies of monkeypox, influenza A, tuberculosis, and HIV can be used to guide strategies for anticipating and responding to new disease threats such as the Ebola and Chickungunya viruses, as well as to improve programs to control existing zoonotic diseases, including tuberculosis. The problem of safely feeding the world while preserving the environment and avoiding issues such as antibiotic resistance in animals and humans requires cooperative scientific problem solving. Food poisoning outbreaks resulting from Salmonella growing in vegetables have demonstrated the need for knowledge of pathogen evolution and adaptation in developing appropriate countermeasures for prevention and policy development. Similarly, pesticide use for efficient crop production must take into consideration bee population declines that threaten the availability of the two-thirds of human foods that are dependent on pollination. This report presents and weighs the objective merits of competing health priorities and identifies gaps in knowledge that threaten health security, to promote discussion of major public policy implications such that they may be decided with at least an underlying platform of facts.

VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure.

We present VASA, a visual analytics platform consisting of a desktop application, a component model, and a suite of distributed simulation components for modeling the impact of societal threats such as weather, food contamination, and traffic on critical infrastructure such as supply chains, road networks, and power grids. Each component encapsulates a high-fidelity simulation model that together form an asynchronous simulation pipeline: a system of systems of individual simulations with a common data and parameter exchange format. At the heart of VASA is the Workbench, a visual analytics application providing three distinct features: (1) low-fidelity approximations of the distributed simulation components using local simulation proxies to enable analysts to interactively configure a simulation run; (2) computational steering mechanisms to manage the execution of individual simulation components; and (3) spatiotemporal and interactive methods to explore the combined results of a simulation run. We showcase the utility of the platform using examples involving supply chains during a hurricane as well as food contamination in a fast food restaurant chain.

Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents.

Economically motivated adulteration (EMA) of food, also known as food fraud, is the intentional adulteration of food for financial advantage. A common form of EMA, undeclared substitution with alternative ingredients, is usually a health concern because of allergen labeling requirements. As demonstrated by the nearly 300,000 illnesses in China from melamine adulteration of infant formula, EMA also has the potential to result in serious public health consequences. Furthermore, EMA incidents reveal gaps in quality assurance testing methodologies that could be exploited for intentional harm. In contrast to foodborne disease outbreaks, EMA incidents present a particular challenge to the food industry and regulators because they are deliberate acts that are intended to evade detection. Large-scale EMA incidents have been described in the scientific literature, but smaller incidents have been documented only in media sources. We reviewed journal articles and media reports of EMA since 1980. We identified 137 unique incidents in 11 food categories: fish and seafood (24 incidents), dairy products (15), fruit juices (12), oils and fats (12), grain products (11), honey and other natural sweeteners (10), spices and extracts (8), wine and other alcoholic beverages (7), infant formula (5), plant-based proteins (5), and other food products (28). We identified common characteristics among the incidents that may help us better evaluate and reduce the risk of EMA. These characteristics reflect the ways in which existing regulatory systems or testing methodologies were inadequate for detecting EMA and how novel detection methods and other deterrence strategies can be deployed. Prevention and detection of EMA cannot depend on traditional food safety strategies. Comprehensive food protection, as outlined by the Food Safety Modernization Act, will require innovative methods for detecting EMA and for targeting crucial resources toward the riskiest food products.

Assessing the continuum of event-based biosurveillance through an operational lens.

This research follows the Updated Guidelines for Evaluating Public Health Surveillance Systems, Recommendations from the Guidelines Working Group, published by the Centers for Disease Control and Prevention nearly a decade ago. Since then, models have been developed and complex systems have evolved with a breadth of disparate data to detect or forecast chemical, biological, and radiological events that have a significant impact on the One Health landscape. How the attributes identified in 2001 relate to the new range of event-based biosurveillance technologies is unclear. This article frames the continuum of event-based biosurveillance systems (that fuse media reports from the internet), models (ie, computational that forecast disease occurrence), and constructs (ie, descriptive analytical reports) through an operational lens (ie, aspects and attributes associated with operational considerations in the development, testing, and validation of the event-based biosurveillance methods and models and their use in an operational environment). A workshop was held in 2010 to scientifically identify, develop, and vet a set of attributes for event-based biosurveillance. Subject matter experts were invited from 7 federal government agencies and 6 different academic institutions pursuing research in biosurveillance event detection. We describe 8 attribute families for the characterization of event-based biosurveillance: event, readiness, operational aspects, geographic coverage, population coverage, input data, output, and cost. Ultimately, the analyses provide a framework from which the broad scope, complexity, and relevant issues germane to event-based biosurveillance useful in an operational environment can be characterized.

Demeter's Resilience: an International Food Defense exercise.

The National Center for Food Protection and Defense (NCFPD), which is led by the University of Minnesota, hosted an international food defense exercise on 27 to 29 May 2008. Established in 2004, NCFPD is a Department of Homeland Security Center of Excellence with the mission of defending the food system through research and education. Tabletop exercises are practice-based scenarios intended to mimic real life experiences. The objective of the exercise discussed in this article was to facilitate discussion to increase awareness among exercise participants of both the threat that would be posed by an intentional attack on the food supply and the international impact of such an attack. Through facilitated discussion, exercise participants agreed on the following themes: (i) recognition of a foodborne disease outbreak is driven by the characteristics of the illness rather than the actual number of ill individuals; (ii) during the course of a foodborne outbreak there are generally multiple levels of communication; (iii) a common case definition for a foodborne disease is difficult to develop on a global scale; and (iv) the safety and health of all individuals is the number one priority of all parties involved. Several challenges were faced during the development of the exercise, but these were overcome to produce a more robust exercise. The following discussion will provide an overview of the challenges and the strategies used to overcome them. The lessons learned provide insight into how to plan, prepare, and host an international food defense exercise.