Band 18, Heft 1

A critical component of successful public health emergency responses is the availability of appropriate numbers of personnel with emergency response expertise. To achieve this, the United States Centers for Disease Control and Prevention (CDC) focused on strengthening training, personnel database systems, and responder outreach. To ensure availability of well-trained public health emergency responders, CDC and external partners coordinated training, planning, exercise, and evaluation activities; established the School of Preparedness and Emergency Response; and implemented Responder Training Tiers for response roles with defined functional competencies. For personnel information, CDC developed interoperable databases to streamline the search for specific staff expertise for a response. To improve responder outreach, CDC developed various mechanisms to efficiently identify and assign potential responders to responses. These measures work together to sustain a qualified workforce for public health emergencies, and may be helpful to other public health agencies for staffing and training of their response workforce.

The emergency responses required during large-scale crises or disasters are extremely knowledge-intensive processes and are usually characterized by a high degree of unpredictability and unrepeatability. An emergency response is mission- and time-critical, unstructured, very dynamic, and it is very difficult to predefine or even to anticipate all possible response scenarios. Therefore, designing and implementing a software system to support such a response system is highly complicated and challenging. This research aims to investigate and discuss how Adaptive Case Management (ACM) can be leveraged in the design and implementation of a case-based emergency response system. In particular, this research considers the best practices of the National Incident Management System (NIMS), which is an essential part of the National Response Framework (NRF) developed in the United States. As a proof-of-concept, a prototype demonstration has been carried out on a leading commercial ACM platform. In addition, a walkthrough scenario is discussed to elaborate how ACM can support emergency response activities in real settings using the Incident Command System (ICS) organizational structure. The key benefit of this research is to guide the development and implementation of cased-based emergency response systems with a flexible and agile approach.

Disasters can move quickly. Effective communication is a critical resource that can significantly enhance public safety. A mass notification system (MNS) uses text messaging to inform constituents of crisis, provide recommendations, connect to resources, and has the advantage of speed. Limited research has been conducted on the variables that influence the effectiveness, utilization, and perceptions of MNS. The extant study employs a multi-method approach to advance the scholarly knowledge on MNS. All emergency managers in a state were surveyed on issues of MNS enrollment, utilization, and brand. A subgroup of emergency managers were then interviewed to provide depth to the survey findings. Key findings indicate wide variability in MNS usage, little relationship between population size and enrollment, and a high perceived importance of MNS as a communication modality. Policy implications and recommendations are offered.

Research has shown that mass media can influence response operations by influencing the way that information is disseminated to the public before, during, and after disaster. After the 2014 Ebola event, the International Association of Emergency Managers (IAEM) conducted an After Action Review that proposes the need for government to ensure that the media does not control the narrative of response. The goal of this study is to understand if and how the media did attempt to control the narrative of response. To achieve this goal, we conduct a content analysis of three major newspapers, from July 26, 2014 to November 1, 2014, that focuses on Adaptive Governance in response to Ebola’s debut in the United States shortly after September 20, 2014. The results indicate that articles are more likely to focus on federal agencies and response efforts that follow established federal guidelines. However, the mention of local government, the boots on the ground first responders, is not significant to the mention of Adaptive Governance. This suggests that print media is controlling the narrative of the response and local government needs to provide the print media more access to emergency management professionals for more effective dissemination of effective local response.

Hurricane Harvey was social media's first real stress test as a disaster response and recovery mechanism. A confluence of conditions makes it an ideal case study of social media's role in disaster recovery: the lack of a government-issued evacuation order, a call from government leadership for willing and able volunteers with a boat or high-water vehicle to perform life-saving rescues, and wide-spread adoption of social media platforms in the Houston area. While research on online social networks and disasters continues to grow, social scientists know little about how these online networks transform during a crisis and, further, how they drive disaster outcomes. With two original datasets, this study investigates how Houston's online social network transformed during Hurricane Harvey (2017), and the relationship between social media activity and post-Harvey recovery. The findings of a social network analysis (N= 2,387,610) and subsequent statistical analyses reveal the Houston-area online social network grew denser, clustered, and more efficient during the disaster. A spatial analysis and three separate regression models of activity before, during, and after Hurricane Harvey reveal that among 333 Nextdoor Neighborhoods, hyperlocal social media activity was a statistically significant predictor of the rate of rebuilding in these geographically based online communities. These findings suggest that policy and decision-makers should invest into online and offline hyperlocal social networks well before a disaster strikes, and leverage resources and legislation to maintain and strengthen the telecommunications and energy infrastructure that supports access to social media and telecommunications infrastructure during a time of crisis.