RESUMEN
American Indian/Alaska Native (AI/AN) populations have proven particularly susceptible to the opioid crisis in the USA, but the White House's 2019 national opioid policy roadmap is not structured to address AI/AN vulnerabilities. The concept of resilience, usually considered a positive system attribute, can be applied to complex systems to understand the larger compensatory interactions that restore systems to previous structures despite disruptions or interventions. The opioid crisis is a case of detrimental resilience because even effective interventions have not succeeded in eradicating opioid abuses. Resilience-based systemic interventions are needed to disrupt various aspects of systems while enhancing the social and cognitive abilities of affected populations to withstand the threat. This paper examines community characteristics, healthcare, and law enforcement within the context of AI/AN populations to emphasize the mechanisms that promote undesirable resilience for the opioid crisis. A research agenda bringing together systems science and management is needed to coordinate sectoral interventions and establish strategies to disrupt the resilient cycle of opioid addiction.
RESUMEN
During the coronavirus pandemic, policy makers need to interpret available public health data to make decisions affecting public health. However, the United States' coronavirus response faced data gaps, inadequate and inconsistent definitions of data across different governmental jurisdictions, ambiguous timing in reporting, problems in accessing data, and changing interpretations from scientific institutions. These present numerous problems for the decision makers relying on this information. This paper documents some of the data pitfalls in coronavirus public health data reporting, as identified by the authors in the course of supporting data management for New England's coronavirus response. We provide recommendations for individuals to collect data more effectively during emergency situations such as a COVID-19 surge, as well as recommendations for institutions to provide more meaningful data for various users to access. Through this, we hope to motivate action to avoid data pitfalls during public health responses in the future.
RESUMEN
Desirable system performance in the face of threats has been characterized by various management concepts. Through semistructured interviews with editors of journals in the fields of emergency response and systems management, a literature review, and professional judgment, we identified nine related and often interchangeably used system performance concepts: adaptability, agility, reliability, resilience, resistance, robustness, safety, security, and sustainability. A better understanding of these concepts will allow system planners to pursue management strategies best suited to their unique system dynamics and specific objectives of good performance. We analyze expert responses and review the linguistic definitions and mathematical framing of these concepts to understand their applications. We find a lack of consensus on their usage between interview subjects, but by using the mathematical framing to enrich the linguistic definitions, we formulate comparative visualizations and propose distinct definitions for the nine concepts. We present a conceptual framing to relate the concepts for management purposes.
RESUMEN
The fast-paced field of synthetic biology is fundamentally changing the global biosecurity framework. Current biosecurity regulations and strategies are based on previous governance paradigms for pathogen-oriented security, recombinant DNA research, and broader concerns related to genetically modified organisms (GMOs). Many scholarly discussions and biosecurity practitioners are therefore concerned that synthetic biology outpaces established biosafety and biosecurity measures to prevent deliberate and malicious or inadvertent and accidental misuse of synthetic biology's processes or products. This commentary proposes three strategies to improve biosecurity: Security must be treated as an investment in the future applicability of the technology; social scientists and policy makers should be engaged early in technology development and forecasting; and coordination among global stakeholders is necessary to ensure acceptable levels of risk.