In the United States, all 50 states and the District of Columbia have Good Samaritan Laws (GSLs). Designed to encourage bystanders to aid at the scene of an emergency, GSLs generally limit the risk of civil tort liability if the care is rendered in good faith. Nation-wide, a leading cause of preventable death is uncontrolled external hemorrhage. Public bleeding control initiatives aim to train the public to recognize life-threatening external bleeding, perform life-sustaining interventions (including direct pressure, tourniquet application, and wound packing), and to promote access to bleeding control equipment to ensure a rapid response from bystanders.

This study sought to identify the GSLs in each state and the District of Columbia to identify what type of responder is covered by the law (eg, all laypersons, only trained individuals, or only licensed health care providers) and if bleeding control is explicitly included or excluded in their Good Samaritan coverage.

Good Samaritan Laws providing civil liability qualified immunity were identified in all 50 states and the District of Columbia. One state, Oklahoma, specifically includes bleeding control in its GSLs. Six states – Connecticut, Illinois, Kansas, Kentucky, Michigan, and Missouri – have laws that define those covered under Good Samaritan immunity, generally limiting protection to individuals trained in a standard first aid or resuscitation course or health care clinicians. No state explicitly excludes bleeding control from their GSLs, and one state expressly includes it.

Nation-wide across the United States, most states have broad bystander coverage within GSLs for emergency medical conditions of all types, including bleeding emergencies, and no state explicitly excludes bleeding control interventions. Some states restrict coverage to those health care personnel or bystanders who have completed a specific training program. Opportunity exists for additional research into those states whose GSLs may not be inclusive of bleeding control interventions.

In disaster response, smartphone applications (or apps) are being used by the layperson, emergency first responders, and health care providers to aid in everything from incident reporting to clinical decision making. However, quality apps are often diluted by the overwhelming number of apps that exist for both the lay public and first responders in the Apple iTunes (Apple Inc.; Cupertino, California USA) and Google Play (Google LLC; Mountain View, California USA) stores.

A systematic review of disaster response apps was originally completed in 2015; a follow-up review was completed here to evaluate trends and explore novel apps.

A search of the Apple iTunes and Google Play stores was performed using the following terms obtained from PubMed (National Center for Biotechnology Information; Bethesda, Maryland USA) Medical Subject Headings Database: Emergency Preparedness; Emergency Responders; Disaster; Disaster Planning; Disaster Medicine; Bioterrorism; Chemical Terrorism; Hazardous Materials; and the Federal Emergency Management Agency (FEMA [Washington, DC USA]). After excluding any unrelated apps, a working list of apps was formed and categorized based on topics. Apps were categorized by intended user (first responders or the public) and sub-categorized by topic for discussion. Sub-categories included News/Information, Reference/Education, Weather/Natural Disasters, Travel/Navigation, and Communication/Reunification.

A search of the Apple iTunes store revealed 394 unique apps and was narrowed to 342 based on relevance to the field and availability on the iPhone. A search of the Google Play store yielded 645 unique applications and was narrowed to 634 based on relevance. Of note, 49 apps appeared in both app stores using the search terms. An aggregate 927 apps from the Apple iTunes and Google Play stores were then critically reviewed by the authors. Apps were sub-categorized based on intended audience, layperson or first responder, and sorted into one of five disaster response categories. Two apps were chosen for discussion from each of the five sub-categories. The highest quality apps were determined from each group based on relevance to emergency preparedness and disaster response, rating, and number of reviews.

After comparisons with the 2015 article, many new apps have been developed and previously described apps have been updated, highlighting that this is a constantly changing field deserving of continued analysis and research.

Hurricane Harvey left a path of destruction in its wake, resulting in over 100 deaths and damaging critical infrastructure. During a disaster, public health surveillance is necessary to track emerging illnesses and injuries, identify at-risk populations, and assess the effectiveness of response efforts. The Centers for Disease Control and Prevention (CDC) and American Red Cross collaborate on shelter surveillance to monitor the health of the sheltered population and help guide response efforts.

We analyzed data collected from 24 Red Cross shelters between August 25, 2017, and September 14, 2017. We described the aggregate morbidity data collected during Harvey compared with previous hurricanes (Gustav, Ike, and Sandy).

Over one-third (38%) of reasons for visit were for health care maintenance; 33% for acute illnesses, which includes respiratory conditions, gastrointestinal symptoms, and pain; 19% for exacerbation of chronic disease; 7% for mental health; and 4% for injury. The Red Cross treated 41% of clients within the shelters; however, reporting of disposition was often missed. These results are comparable to previous hurricanes.

The capacity of Red Cross shelter staff to address the acute health needs of shelter residents is a critical resource for local public health agencies overwhelmed by the disaster. However, there remains room for improvement because reporting remained inconsistent.

Two Category 5 storms, Hurricane Irma and Hurricane Maria, hit the U.S. Virgin Islands (USVI) within 13 days of each other in September 2017. These storms caused catastrophic damage across the territory, including widespread loss of power, destruction of homes, and devastation of critical infrastructure. During large scale disasters such as Hurricanes Irma and Maria, public health surveillance is an important tool to track emerging illnesses and injuries, identify at-risk populations, and assess the effectiveness of response efforts. The USVI Department of Health (DoH) partnered with shelter staff volunteers to monitor the health of the sheltered population and help guide response efforts.

Shelter volunteers collect data on the American Red Cross Aggregate Morbidity Report form that tallies the number of client visits at a shelter’s health services every 24 hours. Morbidity data were collected at all 5 shelters on St. Thomas and St. Croix between September and October 2017. This article describes the health surveillance data collected in response to Hurricanes Irma and Maria.

Following Hurricanes Irma and Maria, 1130 health-related client visits were reported, accounting for 1655 reasons for the visits (each client may have more than 1 reason for a single visit). Only 1 shelter reported data daily. Over half of visits (51.2%) were for health care management; 17.7% for acute illnesses, which include respiratory conditions, gastrointestinal symptoms, and pain; 14.6% for exacerbation of chronic disease; 9.8% for mental health; and 6.7% for injury. Shelter volunteers treated many clients within the shelters; however, reporting of the disposition (eg, referred to physician, pharmacist) was often missed (78.1%).

Shelter surveillance is an efficient means of quickly identifying and characterizing health issues and concerns in sheltered populations following disasters, allowing for the development of evidence-based strategies to address identified needs. When incorporated into broader surveillance strategies using multiple data sources, shelter data can enable disaster epidemiologists to paint a more comprehensive picture of community health, thereby planning and responding to health issues both within and outside of shelters. The findings from this report illustrated that managing chronic conditions presented a more notable resource demand than acute injuries and illnesses. Although there remains room for improvement because reporting was inconsistent throughout the response, the capacity of shelter staff to address the health needs of shelter residents and the ability to monitor the health needs in the sheltered population were critical resources for the USVI DoH overwhelmed by the disaster. (Disaster Med Public Health Preparedness. 2019;13:38-43)

To evaluate key attributes, strengths, and limitations of the American Red Cross (ARC) disaster-related mortality surveillance system implemented during Hurricane Ike in Texas 2008, and to provide recommendations for system improvement.

We evaluated key attributes of the ARC mortality surveillance system. Evaluation included interviews with stakeholders and linking ARC data with the Texas Department of State Health Services’ (DSHS) system for comparison.

During September 11 through October 6, 2008, the ARC identified 38 deaths, whereas DSHS identified 74 deaths related to Hurricane Ike (sensitivity = 47%; positive predictive value = 92%). The ARC had complete data on 61% to 92% of deaths, and an 83% to 97% concordance was observed between the 2 systems for key variables.

The ARC surveillance system is simple, flexible, and stable. We recommend establishing written guidelines to improve data quality and representativeness. As an important supporting agency in disaster situations and the sole source of data regarding disaster-related mortality in multiple states, improvement of the ARC system will benefit stakeholders and promote dissemination of useful information for preventing future deaths. (Disaster Med Public Health Preparedness. 2013;7:13-19)