Twitter as a Potential Disaster Risk Reduction Tool. Part I: Introduction, Terminology, Research and Operational Applications.

Twitter, a popular communications platform, is identified as contributing to improved mortality and morbidity outcomes resulting from the 2013 Hattiesburg, Mississippi EF-4 Tornado. This study describes the methodology by which Twitter was investigated as a potential disaster risk reduction and management tool at the community level and the process by which the at-risk population was identified from the broader Twitter user population. By understanding how various factors contribute to the superspreading of messages, one can better optimize Twitter as an essential communications and risk reduction tool. This study introduces Parts II, III and IV which further define the technological and scientific knowledge base necessary for developing future competency base curriculum and content for Twitter assisted disaster management education and training at the community level.

Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado.

BACKGROUND: This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado. METHODOLOGY: A data extraction and geographically centered filtration approach was utilized to generate Twitter data for 48 hrs pre- and post-Tornado. The data was further validated using six sigma approach utilizing GPS data. RESULTS: The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates. CONCLUSIONS: Twitter tweet activity increased 5 fold during the response to the Hattiesburg Tornado.  Retweeting activity increased 2.2 fold. Tweets with a hashtag increased 1.4 fold. Twitter was an effective disaster risk reduction tool for the Hattiesburg EF-4 Tornado 2013.

Twitter as a Potential Disaster Risk Reduction Tool. Part III: Evaluating Variables that Promoted Regional Twitter Use for At-risk Populations During the 2013 Hattiesburg F4 Tornado.

INTRODUCTION: Study goals attempt to identify the variables most commonly associated with successful tweeted messages and determine which variables have the most influence in promoting exponential dissemination of information (viral spreading of the message) and trending (becoming popular) in the given disaster affected region. METHODS: Part II describes the detailed extraction and triangulation filtration methodological approach to acquiring twitter data for the 2013 Hattiesburg Tornado. The data was then divided into two 48 hour windows before and after the tornado impact with a 2 hour pre-tornado buffer to capture tweets just prior to impact. Criteria-based analysis was completed for Tweets and users. The top 100 pre-Tornado and post-Tornado retweeted users were compared to establish the variability among the top retweeted users during the 4 day span.  RESULTS: Pre-Tornado variables that were correlated to higher retweeted rates include total user tweets (0.324), and total times message retweeted (0.530).  Post-Tornado variables that were correlated to higher retweeted rates include total hashtags in a retweet (0.538) and hashtags #Tornado (0.378) and #Hattiesburg (0.254). Overall hashtags usage significantly increased during the storm. Pre-storm there were 5,763 tweets with a hashtag and post-storm there was 13,598 using hashtags. CONCLUSIONS: Twitter's unique features allow it to be considered a unique social media tool applicable for emergency managers and public health officials for rapid and accurate two way communication.  Additionally, understanding how variables can be properly manipulated plays a key role in understanding how to use this social media platform for effective, accurate, and rapid mass information communication.

Twitter as a Potential Disaster Risk Reduction Tool. Part IV: Competency-based Education and Training Guidelines to Promote Community Resiliency.

Twitter can be an effective tool for disaster risk reduction but gaps in education and training exist in current public health and disaster management educational competency standards.  Eleven core public health and disaster management competencies are proposed that incorporate Twitter as a tool for effective disaster risk reduction.  Greater funding is required to promote the education and training of this tool for those in professional schools and in the current public health and disaster management workforce.

Impact of dual-polarization radar technology and Twitter on the Hattiesburg, Mississippi tornado.

OBJECTIVE: Dual-Polarization Radar and Twitter were analyzed to determine the impact on injuries sustained by the Hattiesburg EF-4 tornado. METHOD: Tracking data provided from the Dual-Pol radar systems in National Weather Service Jackson were reviewed. Twitter data from four local Twitter handles were obtained. The change in tweets and followers for the day of the storm were compared to historical averages. A Student t-test was utilized in determining statistical significance (p<0.05). Medical records from two local emergency departments were reviewed for patients treated up to 24 hours after the tornado. An Injury Severity Score (ISS) was calculated for trauma records related to the tornado. RESULTS: Radar detection of the tornado gave approximately 30 minutes of advanced warning time. Statistical significance in follower growth was seen in all four Twitter handles. Out of 50 patients, the average ISS was 3.9 with a range of 1 to 29. There were zero fatalities. CONCLUSIONS: An ISS average of 3.9 was significantly less than two previous tornadoes of similar strength that occurred prior to increased usage of Dual-pol radar and Twitter as a means for communicating severe weather information. Early detection from Dual-pol radar improved warning time. Tweets informed citizens to seek appropriate shelter. (Disaster Med Public Health Preparedness. 2013;7:585-592).

Personal derived health information: a foundation to preparing the United States for disasters and public health emergencies.

BACKGROUND: In the days following a disaster/public health emergency, there is great effort to ensure that everyone receives appropriate care and lives are saved. However, evacuees following a disaster/public health emergency often lack access to personal health information that is vital to receive or maintain quality care. Delayed treatment and interruptions of medication regimens often contribute to excess morbidity and mortality following a disaster/public health emergency. This study sought to define a set of minimum health information elements that can be maintained in a personal health record (PHR) and given to first responders/receivers within the first 96 hours of a disaster/public health response to improve clinical health outcomes. METHODS: A mixed methods approach of qualitative and quantitative data gathering and analyses was completed. Expert panel members (n = 116) and existing health information elements were sampled for this study; 55% (n = 64) of expert panel members had clinical credentials and determined the health information. From an initial set of 6 sources, a step-wise process using a Likert scale survey and thematic data analyses, including interrater reliability and validity checks, produced a set of minimum health information elements. RESULTS: The results identified 30 essential elements from 676 existing health information elements, a reduction of approximately 95%. The elements were grouped into 7 domains: identification, emergency contact, health care contact, health profile -past medical history, medication, major allergies/diet restrictions, and family information. CONCLUSIONS: Leading experts in clinical disaster preparedness identified a set of minimum health information elements that first responders/receivers must have to ensure appropriate and timely care. If this set of elements is used as the fundamental information for a PHR, and automatically updated and validated during clinical encounters and medication changes, it is conceivable that following large-scale disasters clinical outcomes may be improved and more lives may be saved.

Core competencies for disaster medicine and public health.

Effective preparedness, response, and recovery from disasters require a well-planned, integrated effort with experienced professionals who can apply specialized knowledge and skills in critical situations. While some professionals are trained for this, others may lack the critical knowledge and experience needed to effectively perform under stressful disaster conditions. A set of clear, concise, and precise training standards that may be used to ensure workforce competency in such situations has been developed. The competency set has been defined by a broad and diverse set of leaders in the field and like-minded professionals through a series of Web-based surveys and expert working group meetings. The results may provide a useful starting point for delineating expected competency levels of health professionals in disaster medicine and public health.

Results of rapid needs assessments in rural and urban Iowa following large-scale flooding events in 2008.

BACKGROUND: On June 8 and 9, 2008, more than 4 inches of rain fell in the Iowa-Cedars River Basin causing widespread flooding along the Cedar River in Benton, Linn, Johnson, and Cedar Counties. As a result of the flooding, there were 18 deaths, 106 injuries, and over 38,000 people displaced from their homes; this made it necessary for the Iowa Department of Health to conduct a rapid needs assessment to quantify the scope and effect of the floods on human health. METHODS: In response, the Iowa Department of Public Health mobilized interview teams to conduct rapid needs assessments using Geographic Information Systems (GIS)-based cluster sampling techniques. The information gathered was subsequently employed to estimate the public health impact and significant human needs that resulted from the flooding. RESULTS: While these assessments did not reveal significant levels of acute injuries resulting from the flood, they did show that many households had been temporarily displaced and that future health risks may emerge as the result of inadequate access to prescription medications or the presence of environmental health hazards. CONCLUSIONS: This exercise highlights the need for improved risk communication measures and ongoing surveillance and relief measures. It also demonstrates the utility of rapid needs assessment survey tools and suggests that increasing use of such surveys can have significant public health benefits.

Mass casualty response in the 2008 Mumbai terrorist attacks.

OBJECTIVES: The November 26-29, 2008, terrorist attacks on Mumbai were unique in its international media attention, multiple strategies of attack, and the disproportionate national fear they triggered. Everyone was a target: random members of the general population, iconic targets, and foreigners alike were under attack by the terrorists. METHODS: A retrospective, descriptive study of the distribution of terror victims to various city hospitals, critical radius, surge capacity, and the nature of specialized medical interventions was gathered through police, legal reports, and interviews with key informants. RESULTS: Among the 172 killed and 304 injured people, about four-fifths were men (average age, 33 years) and 12% were foreign nationals. The case-fatality ratio for this event was 2.75:1, and the mortality rate among those who were critically injured was 12%. A total of 38.5% of patients arriving at the hospitals required major surgical intervention. Emergency surgical operations were mainly orthopedic (external fixation for compound fractures) and general surgical interventions (abdominal explorations for penetrating bullet/shrapnel injuries). CONCLUSIONS: The use of heavy-duty automatic weapons, explosives, hostages, and arson in these terrorist attacks alerts us to new challenges to medical counterterrorism response. The need for building central medical control for a coordinated response and for strengthening public hospital capacity are lessons learned for future attacks. These particular terrorist attacks had global consequences, in terms of increased security checks and alerts for and fears of further similar "Mumbai-style" attacks. The resilience of the citizens of Mumbai is a critical measure of the long-term effects of terror attacks.

Disaster metrics: quantitative benchmarking of hospital surge capacity in trauma-related multiple casualty events.

OBJECTIVES: Hospital surge capacity in multiple casualty events (MCE) is the core of hospital medical response, and an integral part of the total medical capacity of the community affected. To date, however, there has been no consensus regarding the definition or quantification of hospital surge capacity. The first objective of this study was to quantitatively benchmark the various components of hospital surge capacity pertaining to the care of critically and moderately injured patients in trauma-related MCE. The second objective was to illustrate the applications of those quantitative parameters in local, regional, national, and international disaster planning; in the distribution of patients to various hospitals by prehospital medical services; and in the decision-making process for ambulance diversion. METHODS: A 2-step approach was adopted in the methodology of this study. First, an extensive literature search was performed, followed by mathematical modeling. Quantitative studies on hospital surge capacity for trauma injuries were used as the framework for our model. The North Atlantic Treaty Organization triage categories (T1-T4) were used in the modeling process for simplicity purposes. RESULTS: Hospital Acute Care Surge Capacity (HACSC) was defined as the maximum number of critical (T1) and moderate (T2) casualties a hospital can adequately care for per hour, after recruiting all possible additional medical assets. HACSC was modeled to be equal to the number of emergency department beds (#EDB), divided by the emergency department time (EDT); HACSC = #EDB/EDT. In trauma-related MCE, the EDT was quantitatively benchmarked to be 2.5 (hours). Because most of the critical and moderate casualties arrive at hospitals within a 6-hour period requiring admission (by definition), the hospital bed surge capacity must match the HACSC at 6 hours to ensure coordinated care, and it was mathematically benchmarked to be 18% of the staffed hospital bed capacity. CONCLUSIONS: Defining and quantitatively benchmarking the different components of hospital surge capacity is vital to hospital preparedness in MCE. Prospective studies of our mathematical model are needed to verify its applicability, generalizability, and validity.

The elephant in the room: collaboration and competition among relief organizations during high-profile disasters.

The non-governmental organizations (NGOs) that assume the bulk of emergency care during large-scale disasters in the developing world must expend considerable time and resources to ensure donations to sustain their field operations. This long-standing dilemma for the humanitarian community can create a competitive environment that: Compromises the delivery and quality of services, Allows the effectiveness of operations to be compromised by a lack of cooperation and collaboration, Disrupts the timely and accurate coordination and analysis of outcome measures that are crucial to successful response in the future, and Undermines the long-term capacity of indigenous aid organizations. This article addresses problems and potential solutions for improved coordination and long-term capacity-building of humanitarian aid.