Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA.

Power outages threaten public health. While outages will likely increase with climate change, an aging electrical grid, and increased energy demand, little is known about their frequency and distribution within states. Here, we characterize 2018-2020 outages, finding an average of 520 million customer-hours total without power annually across 2447 US counties (73.7% of the US population). 17,484 8+ hour outages (a medically-relevant duration with potential health consequences) and 231,174 1+ hour outages took place, with greatest prevalence in Northeastern, Southern, and Appalachian counties. Arkansas, Louisiana, and Michigan counties experience a dual burden of frequent 8+ hour outages and high social vulnerability and prevalence of electricity-dependent durable medical equipment use. 62.1% of 8+ hour outages co-occur with extreme weather/climate events, particularly heavy precipitation, anomalous heat, and tropical cyclones. Results could support future large-scale epidemiology studies, inform equitable disaster preparedness and response, and prioritize geographic areas for resource allocation and interventions.

The 2021 Texas Power Crisis: distribution, duration, and disparities.

BACKGROUND: Precipitated by an unusual winter storm, the 2021 Texas Power Crisis lasted February 10 to 27 leaving millions of customers without power. Such large-scale outages can have severe health consequences, especially among vulnerable subpopulations such as those reliant on electricity to power medical equipment, but limited studies have evaluated sociodemographic disparities associated with outages. OBJECTIVE: To characterize the 2021 Texas Power Crisis in relation to distribution, duration, preparedness, and issues of environmental justice. METHODS: We used hourly Texas-wide county-level power outage data to estimate geographic clustering and association between outage exposure (distribution and duration) and six measures of racial, social, political, and/or medical vulnerability: Black and Hispanic populations, the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI), Medicare electricity-dependent durable medical equipment (DME) usage, nursing homes, and hospitals. To examine individual-level experience and preparedness, we used a preexisting and non-representative internet survey. RESULTS: At the peak of the Texas Power Crisis, nearly 1/3 of customers statewide (N = 4,011,776 households/businesses) lost power. We identified multiple counties that faced a dual burden of racial/social/medical vulnerability and power outage exposure, after accounting for multiple comparisons. County-level spatial analyses indicated that counties where more Hispanic residents resided tended to endure more severe outages (OR = 1.16, 95% CI: 1.02, 1.40). We did not observe socioeconomic or medical disparities. With individual-level survey data among 1038 respondents, we found that Black respondents were more likely to report outages lasting 24+ hours and that younger individuals and those with lower educational attainment were less likely to be prepared for outages. SIGNIFICANCE: Power outages can be deadly, and medically vulnerable, socioeconomically vulnerable, and marginalized groups may be disproportionately impacted or less prepared. Climate and energy policy must equitably address power outages, future grid improvements, and disaster preparedness and management.

A Philanthropic Approach to Supporting Emergent Disaster Response and Recovery.

In August 2017, Hurricane Harvey struck the US Gulf Coast and caused more than US $125 billion in damages in Texas. The loss of lives and the economic damages resulted in an outpouring of support for the recovery efforts in the form of federal assistance and private donations. The latter has supported more creative approaches to recovery. Organizations that normally would not receive funding were able to obtain resources to use in novel manners. Using the framework of Dynes typology to identify groups and their respective structures and tasks, this report from the field analyzes Hurricane Harvey and the financial support mechanisms used to support recovery efforts in Texas, what organizations were funded to do, and where they fit into Dynes typology. The authors close by noting the importance of these emerging organizations and the need to support diversity in funding disaster response and recovery efforts beyond large nonprofit organizations.

Emergency Preparedness Training for Hospital Nursing Staff, New York City, 2012-2016.

PURPOSE: Many nurses are trained inadequately in emergency preparedness (EP), preventing them from effectively executing response roles during disasters, such as chemical, biological, radiological, nuclear, and explosive (CBRNE) events. Nurses also indicate lacking confidence in their abilities to perform EP activities. The purpose of this article is to describe the phased development of, and delivery strategies for, a CBRNE curriculum to enhance EP among nursing professionals. The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) and the National Center for Disaster Preparedness at Columbia University's Earth Institute led the initiative. METHODS: Curriculum development included four phases. In Phases I and II, nursing staff at 20 participating NYC hospitals conducted 7,177 surveys and participated in 20 focus groups to identify training gaps in EP. In Phase III, investigators developed and later refined the CBRNE curriculum based on gaps identified. In Phase IV, 22 nurse educators (representing 7 of the original 20 participating hospitals) completed train-the-trainer sessions. Of these nurse educators, three were evaluated on their ability to train other nurses using the curriculum, which investigators finalized. FINDINGS: The CBRNE curriculum included six modules, a just-in-time training, and an online annual refresher course that addressed EP gaps identified in surveys and focus groups. Among the 11 nurses who were trained by three nurse educators during a pilot training, participant knowledge of CBRNE events and response roles increased from an average of 54% (range 45%-75%) on the pre-test to 89% (range 80%-90%) on the posttest. CONCLUSIONS: By participating in nursing CBRNE training, nurses increased their knowledge of and preparedness to respond to disasters. The train-the-trainer curriculum is easily adaptable to meet the needs of other healthcare settings. CLINICAL RELEVANCE: The CBRNE curriculum can be used to train nurses to better prepare for and more effectively respond to disasters.

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subject matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.

Applying business intelligence innovations to emergency management.

The use of business intelligence (BI) is common among corporations in the private sector to improve business decision making and create insights for competitive advantage. Increasingly, emergency management agencies are using tools and processes similar to BI systems. With a more thorough understanding of the principles of BI and its supporting technologies, and a careful comparison to the business model of emergency management, this paper seeks to provide insights into how lessons from the private sector can contribute to the development of effective and efficient emergency management BI utilisation.

Creating a process for incorporating epidemiological modelling into outbreak management decisions.

Modern computational models of infectious diseases greatly enhance our ability to understand new infectious threats and assess the effects of different interventions. The recently-released CDC Framework for Preventing Infectious Diseases calls for increased use of predictive modelling of epidemic emergence for public health preparedness. Currently, the utility of these technologies in preparedness and response to outbreaks is limited by gaps between modelling output and information requirements for incident management. The authors propose an operational structure that will facilitate integration of modelling capabilities into action planning for outbreak management, using the Incident Command System (ICS) and Synchronization Matrix framework. It is designed to be adaptable and scalable for use by state and local planners under the National Response Framework (NRF) and Emergency Support Function #8 (ESF-8). Specific epidemiological modelling requirements are described, and integrated with the core processes for public health emergency decision support. These methods can be used in checklist format to align prospective or real-time modelling output with anticipated decision points, and guide strategic situational assessments at the community level. It is anticipated that formalising these processes will facilitate translation of the CDC's policy guidance from theory to practice during public health emergencies involving infectious outbreaks.

Integrating public health and medical intelligence gathering into homeland security fusion centres.

Homeland security fusion centres serve to gather, analyse and share threat-related information among all levels of governments and law enforcement agencies. In order to function effectively, fusion centres must employ people with the necessary competencies to understand the nature of the threat facing a community, discriminate between important information and irrelevant or merely interesting facts and apply domain knowledge to interpret the results to obviate or reduce the existing danger. Public health and medical sector personnel routinely gather, analyse and relay health-related inform-ation, including health security risks, associated with the detection of suspicious biological or chemical agents within a community to law enforcement agencies. This paper provides a rationale for the integration of public health and medical personnel in fusion centres and describes their role in assisting law enforcement agencies, public health organisations and the medical sector to respond to natural or intentional threats against local communities, states or the nation as a whole.