Objectives. To identify promising practices for implementing COVID-19 vaccination sites. Methods. The Centers for Disease Control and Prevention (CDC) and Federal Emergency Management Agency (FEMA) assessed high-throughput COVID-19 vaccination sites across the United States, including Puerto Rico, after COVID-19 vaccinations began. Site assessors conducted site observations and interviews with site staff. Qualitative data were compiled and thematically analyzed. Results. CDC and FEMA conducted 134 assessments of high-throughput vaccination sites in 25 states and Puerto Rico from February 12 to May 28, 2021. Promising practices were identified across facility, clinical, and cross-cutting operational areas and related to 6 main themes: addressing health equity, leveraging partnerships, optimizing site design and flow, communicating through visual cues, using quick response codes, and prioritizing risk management and quality control. Conclusions. These practices might help planning and implementation of future vaccination operations for COVID-19, influenza, and other vaccine-preventable diseases. Public Health Implications. These practices can be considered by vaccination planners and providers to strengthen their vaccination site plans and implementation of future high-throughput vaccination sites. (Am J Public Health. 2023;113(8):909-918. https://doi.org/10.2105/AJPH.2023.307331).

As of October 21, 2022, a total of 27,884 monkeypox cases (confirmed and probable) have been reported in the United States.(§) Gay, bisexual, and other men who have sex with men have constituted a majority of cases, and persons with HIV infection and those from racial and ethnic minority groups have been disproportionately affected (1,2). During previous monkeypox outbreaks, severe manifestations of disease and poor outcomes have been reported among persons with HIV infection, particularly those with AIDS (3-5). This report summarizes findings from CDC clinical consultations provided for 57 patients aged ≥18 years who were hospitalized with severe manifestations of monkeypox(¶) during August 10-October 10, 2022, and highlights three clinically representative cases. Overall, 47 (82%) patients had HIV infection, four (9%) of whom were receiving antiretroviral therapy (ART) before monkeypox diagnosis. Most patients were male (95%) and 68% were non-Hispanic Black (Black). Overall, 17 (30%) patients received intensive care unit (ICU)-level care, and 12 (21%) have died. As of this report, monkeypox was a cause of death or contributing factor in five of these deaths; six deaths remain under investigation to determine whether monkeypox was a causal or contributing factor; and in one death, monkeypox was not a cause or contributing factor.** Health care providers and public health professionals should be aware that severe morbidity and mortality associated with monkeypox have been observed during the current outbreak in the United States (6,7), particularly among highly immunocompromised persons. Providers should test all sexually active patients with suspected monkeypox for HIV at the time of monkeypox testing unless a patient is already known to have HIV infection. Providers should consider early commencement and extended duration of monkeypox-directed therapy(††) in highly immunocompromised patients with suspected or laboratory-diagnosed monkeypox.(§§) Engaging all persons with HIV in sustained care remains a critical public health priority.

Skilled nursing facilities (SNFs) are focal points of the coronavirus disease 2019 (COVID-19) pandemic, and asymptomatic infections with SARS-CoV-2, the virus that causes COVID-19, among SNF residents and health care personnel have been described (1-3). Repeated point prevalence surveys (serial testing of all residents and health care personnel at a health care facility irrespective of symptoms) have been used to identify asymptomatic infections and have reduced SARS-CoV-2 transmission during SNF outbreaks (1,3). During March 2020, the Detroit Health Department and area hospitals detected a sharp increase in COVID-19 diagnoses, hospitalizations, and associated deaths among SNF residents. The Detroit Health Department collaborated with local government, academic, and health care system partners and a CDC field team to rapidly expand SARS-CoV-2 testing and implement infection prevention and control (IPC) activities in all Detroit-area SNFs. During March 7-May 8, among 2,773 residents of 26 Detroit SNFs, 1,207 laboratory-confirmed cases of COVID-19 were identified during three periods: before (March 7-April 7) and after two point prevalence surveys (April 8-25 and April 30-May 8): the overall attack rate was 44%. Within 21 days of receiving their first positive test results, 446 (37%) of 1,207 COVID-19 patients were hospitalized, and 287 (24%) died. Among facilities participating in both surveys (n = 12), the percentage of positive test results declined from 35% to 18%. Repeated point prevalence surveys in SNFs identified asymptomatic COVID-19 cases, informed cohorting and IPC practices aimed at reducing transmission, and guided prioritization of health department resources for facilities experiencing high levels of SARS-CoV-2 transmission. With the increased availability of SARS-CoV-2 testing, repeated point prevalence surveys and enhanced and expanded IPC support should be standard tools for interrupting and preventing COVID-19 outbreaks in SNFs.

OBJECTIVES: To determine whether non-US citizens have a higher mortality risk of heat-related deaths than do US citizens. METHODS: We used place of residence reported in mortality data from the National Vital Statistics System from 2005 to 2014 as a proxy for citizenship to examine differences in heat-related deaths between non-US and US citizens. Estimates from the US Census Bureau American Community Survey of self-reported citizenship status and place of birth provided the numbers for the study population. We calculated the standardized mortality ratio and relative risk for heat-related deaths between non-US and US citizens nationally. RESULTS: Heat-related deaths accounted for 2.23% (n = 999) of deaths among non-US citizens and 0.02% (n = 4196) of deaths among US citizens. The age-adjusted standardized mortality ratio for non-US citizens compared with US citizens was 3.4 (95% confidence ratio [CI] = 3.2, 3.6). This risk was higher for Hispanic non-US citizens (risk ratio [RR] = 3.6; 95% CI = 3.2, 3.9) and non-US citizens aged 18 to 24 years (RR = 20.6; 95% CI = 16.5, 25.7). CONCLUSIONS: We found an increased mortality risk among non-US citizens compared with US citizens for heat-related deaths, especially those younger and of Hispanic ethnicity.

INTRODUCTION: Official counts of deaths attributed to disasters are often under-reported, thus adversely affecting public health messaging designed to prevent further mortality. During the Oklahoma (USA) May 2013 tornadoes, Oklahoma State Health Department Division of Vital Records (VR; Oklahoma City, Oklahoma USA) piloted a flagging procedure to track tornado-attributed deaths within its Electronic Death Registration System (EDRS). To determine if the EDRS was capturing all tornado-attributed deaths, the Centers for Disease Control and Prevention (CDC; Atlanta, Georgia USA) evaluated three event fatality markers (EFM), which are used to collate information about deaths for immediate response and retrospective research efforts. METHODS: Oklahoma identified 48 tornado-attributed deaths through a retrospective review of hospital morbidity and mortality records. The Centers for Disease Control and Prevention (CDC; Atlanta, Georgia USA) analyzed the sensitivity, timeliness, and validity for three EFMs, which included: (1) a tornado-specific flag on the death record; (2) a tornado-related term in the death certificate; and (3) X37, the International Classification of Diseases, 10th Revision (ICD-10) code in the death record for Victim of a Cataclysmic Storm, which includes tornadoes. RESULTS: The flag was the most sensitive EFM (89.6%; 43/48), followed by the tornado term (75.0%; 36/48), and the X37 code (56.2%; 27/48). The most-timely EFM was the flag, which took 2.0 median days to report (range 0-10 days), followed by the tornado term (median 3.5 days; range 1-21), and the X37 code (median >10 days; range 2-122). Over one-half (52.1%; 25/48) of the tornado-attributed deaths were missing at least one EFM. Twenty-six percent (11/43) of flagged records had no tornado term, and 44.1% (19/43) had no X37 code. Eleven percent (4/36) of records with a tornado term did not have a flag. CONCLUSION: The tornado-specific flag was the most sensitive and timely EFM. Using the flag to collate death records and identify additional deaths without the tornado term and X37 code may improve immediate response and retrospective investigations. Moreover, each of the EFMs can serve as quality controls for the others to maximize capture of all disaster-attributed deaths from vital statistics records in the EDRS.Issa AN, Baker K, Pate D, Law R, Bayleyegn T, Noe RS. Evaluation of Oklahoma's Electronic Death Registration System and event fatality markers for disaster-related mortality surveillance - Oklahoma USA, May 2013. Prehosp Disaster Med. 2019;34(2):125-131.

It is well documented that long-standing focus on public health emergency preparedness medical countermeasures (MCMs) distribution and mass dispensing capabilities for mitigation of bioterrorism incidents and a lack of real-world opportunities to test national preparedness for large-scale emergencies has hindered development of a body of evidence-based practices in the United States. To encourage jurisdictions seeking innovative opportunities for continuous improvement, we describe instances when the MCM capabilities were used to address smaller-scale, more-frequent public health emergencies such as disease outbreaks, natural disasters, or routine influenza vaccination. We argue that small-scale events represent a critical opportunity that state, local, tribal, and territorial entities can utilize for greater gains in MCM operational readiness than through exercises or planned reviews. By using and evaluating MCM capabilities during a real response, jurisdictions can advance preparedness science and support the translation of research into practice, thereby increasing their capacity to scale up for larger, rarer, higher-consequence emergencies.

BACKGROUND: The number of disaster-related deaths recorded by vital statistics departments often differs from that reported by other agencies, including the National Oceanic and Atmospheric Administration-National Weather Service storm database and the American Red Cross. The Centers for Disease Control and Prevention (CDC) has launched an effort to improve disaster-related death scene investigation reporting practices to make data more comparable across jurisdictions, improve accuracy of reporting disaster-related deaths, and enhance identification of risk and protective factors. We conducted a literature review to examine how death scene data are collected and how such data are used to determine disaster relatedness. METHODS: Two analysts conducted a parallel search using Google and Google Scholar. We reviewed published peer-reviewed articles and unpublished documents including relevant forms, protocols, and worksheets from coroners, medical examiners, and death scene investigators. RESULTS: We identified 177 documents: 32 published peer-reviewed articles and 145 other documents (grey literature). Published articles suggested no consistent approach for attributing deaths to a disaster. Researchers generally depended on death certificates to identify disaster-related deaths; several studies also drew on supplemental sources, including medical examiner, coroner, and active surveillance reports. CONCLUSIONS: These results highlight the critical importance of consistent, accurate data collection during a death investigation. Review of the grey literature found variation in use of death scene data collection tools, indicating the potential for widespread inconsistency in data captured for routine reporting and public health surveillance. Findings from this review will be used to develop guidelines and tools for capturing disaster-related death investigation data.

After 3 days as a Category 3 and 4 hurricane in Haiti and Bahamas, Hurricane Matthew moved along the coast of the southeastern United States during October 6−8, 2016 (1). Early on October 8, the storm made landfall southeast of McClellanville, South Carolina, as a Category 1 hurricane with sustained winds of approximately 75 mph, leading to massive coastal and inland flooding, particularly in North Carolina and South Carolina (2). Florida, Georgia, North Carolina, South Carolina, and Virginia made major disaster declarations; approximately 2 million persons were under evacuation orders in Florida, Georgia, North Carolina, and South Carolina (3). In response to the hurricane, CDC activated the Emergency Operations Center Incident Management System, tracked online media reports of Hurricane Matthew–associated deaths, and contacted states for confirmation of deaths. This report summarizes state-confirmed Hurricane Matthew–associated deaths that occurred during October 1−October 21 in Florida, Georgia, North Carolina, and South Carolina. | Forty-three hurricane-associated deaths were reported in four states; the median decedent age was 58 years (range = 9–92 years) (Table). Drowning was the most common cause of death, accounting for 23 (54%) deaths. Among all deaths, 26 (60%) occurred in North Carolina; 18 (69%) of these were drowning deaths associated with a motor vehicle. Twelve deaths occurred in Florida, including five that resulted from injuries during prestorm preparation or poststorm cleanup (e.g., a fall from a ladder or roof). A child’s death in Florida resulted from carbon monoxide poisoning related to indoor generator use.

OBJECTIVES: In January 2014, 4-methylcyclohexanemethanol spilled into the Elk River near Charleston, West Virginia, contaminating the water supply for about 120 000 households. The West Virginia American Water Company (WVAWC) issued a "do not use" water order for 9 counties. After the order was lifted (10 days after the spill), the communities' use of public water systems, information sources, alternative sources of water, and perceived impact of the spill on households were unclear to public health officials. To assist in recovery efforts, the West Virginia Bureau for Public Health and the Centers for Disease Control and Prevention conducted a Community Assessment for Public Health Emergency Response (CASPER). METHODS: We used the CASPER 2-stage cluster sampling design to select a representative sample of households to interview, and we conducted interviews in 171 households in April 2014. We used a weighted cluster analysis to generate population estimates in the sampling frame. RESULTS: Before the spill, 74.4% of households did not have a 3-day alternative water supply for each household member and pet. Although 83.6% of households obtained an alternative water source within 1 day of the "do not use" order, 37.4% of households reportedly used WVAWC water for any purpose. Nearly 3 months after the spill, 36.1% of households believed that their WVAWC water was safe, and 33.5% reported using their household water for drinking. CONCLUSIONS: CASPER results identified the need to focus on basic public health messaging and household preparedness efforts. Recommendations included (1) encouraging households to maintain a 3-day emergency water supply, (2) identifying additional alternative sources of water for future emergencies, and (3) increasing community education to address ongoing concerns about water.

OBJECTIVE: We evaluated the usefulness and accuracy of media-reported data for active disaster-related mortality surveillance. METHODS: From October 29 through November 5, 2012, epidemiologists from the Centers for Disease Control and Prevention (CDC) tracked online media reports for Hurricane Sandy-related deaths by use of a keyword search. To evaluate the media-reported data, vital statistics records of Sandy-related deaths were compared to corresponding media-reported deaths and assessed for percentage match. Sensitivity, positive predictive value (PPV), and timeliness of the media reports for detecting Sandy-related deaths were calculated. RESULTS: Ninety-nine media-reported deaths were identified and compared with the 90 vital statistics death records sent to the CDC by New York City (NYC) and the 5 states that agreed to participate in this study. Seventy-five (76%) of the media reports matched with vital statistics records. Only NYC was able to actively track Sandy-related deaths during the event. Moderate sensitivity (83%) and PPV (83%) were calculated for the matching media-reported deaths for NYC. CONCLUSIONS: During Hurricane Sandy, the media-reported information was moderately sensitive, and percentage match with vital statistics records was also moderate. The results indicate that online media-reported deaths can be useful as a supplemental source of information for situational awareness and immediate public health decision-making during the initial response stage of a disaster.

Timely morbidity surveillance of sheltered populations is crucial for identifying and addressing their immediate needs, and accurate surveillance allows us to better prepare for future disasters. However, disasters often create travel and communication challenges that complicate the collection and transmission of surveillance data. We describe a surveillance project conducted in New Jersey shelters after Hurricane Sandy, which occurred in November 2012, that successfully used cellular phones for remote real-time reporting. This project demonstrated that, when supported with just-in-time morbidity surveillance training, cellular phone reporting was a successful, sustainable, and less labor-intensive methodology than in-person shelter visits to capture morbidity data from multiple locations and opened a two-way communication channel with shelters.

INTRODUCTION: Community Assessment for Public Health Emergency Response (CASPER) is an epidemiologic technique designed to provide quick, inexpensive, accurate, and reliable household-based public health information about a community's emergency response needs. The Health Studies Branch at the Centers for Disease Control and Prevention (CDC) provides in-field assistance and technical support to state, local, tribal, and territorial (SLTT) health departments in conducting CASPERs during a disaster response and in non-emergency settings. Data from CASPERs conducted from 2003 through 2012 were reviewed to describe uses of CASPER, ascertain strengths of the CASPER methodology, and highlight significant findings. METHODS: Through an assessment of the CDC's CASPER metadatabase, all CASPERs that involved CDC support performed in US states and territories from 2003 through 2012 were reviewed and compared descriptively for differences in geographic distribution, sampling methodology, mapping tool, assessment settings, and result and action taken by decision makers. RESULTS: For the study period, 53 CASPERs were conducted in 13 states and one US territory. Among the 53 CASPERS, 38 (71.6%) used the traditional 2-stage cluster sampling methodology, 10 (18.8%) used a 3-stage cluster sampling, and two (3.7%) used a simple random sampling methodology. Among the CASPERs, 37 (69.9%) were conducted in response to specific natural or human-induced disasters, including 14 (37.8%) for hurricanes. The remaining 16 (30.1%) CASPERS were conducted in non-disaster settings to assess household preparedness levels or potential effects of a proposed plan or program. The most common recommendations resulting from a disaster-related CASPER were to educate the community on available resources (27; 72.9%) and provide services (18; 48.6%) such as debris removals and refills of medications. In preparedness CASPERs, the most common recommendations were to educate the community in disaster preparedness (5; 31.2%) and to revise or improve preparedness plans (5; 31.2%). Twenty-five (47.1%) CASPERs documented on the report or publications the public health action has taken based on the result or recommendations. Findings from 27 (50.9%) of the CASPERs conducted with CDC assistance were published in peer-reviewed journals or elsewhere. CONCLUSION: The number of CASPERs conducted with CDC assistance has increased and diversified over the past decade. The CASPERs' results and recommendations supported the public health decisions that benefitted the community. Overall, the findings suggest that the CASPER is a useful tool for collecting household-level disaster preparedness and response data and generating information to support public health action.

OBJECTIVE: We briefly describe 2 systems that provided disaster-related mortality surveillance during and after Hurricane Sandy in New York City, namely, the New York City Health Department Electronic Death Registration System (EDRS) and the American Red Cross paper-based tracking system. METHODS: Red Cross fatality data were linked with New York City EDRS records by using decedent name and date of birth. We analyzed cases identified by both systems for completeness and agreement across selected variables and the time interval between death and reporting in the system. RESULTS: Red Cross captured 93% (41/44) of all Sandy-related deaths; the completeness and quality varied by item, and timeliness was difficult to determine. The circumstances leading to death captured by Red Cross were particularly useful for identifying reasons individuals stayed in evacuation zones. EDRS variables were nearly 100% complete, and the median interval between date of death and reporting was 6 days (range: 0-43 days). CONCLUSIONS: Our findings indicate that a number of steps have the potential to improve disaster-related mortality surveillance, including updating Red Cross surveillance forms and electronic databases to enhance timeliness assessments, greater collaboration across agencies to share and use data for public health preparedness, and continued expansion of electronic death registration systems.

Using CASPER, we were able to obtain feedback from Burleigh county residents on a new NWS product piloted in their geographic location. CASPERs can be used to augment public feedback provided via the Web-based survey methodology typically used by NWS to gather feedback. Web-based surveys are useful since they are inexpensive to administer and generate information quickly; however, they require the participant to have an Internet connection and typically attract "weather enthusiasts" who visit NWS web pages regularly. Therefore, Web-based survey responses may not be representative of the general public, whereas CASPERs produce generalizable results and data collection can be done quickly. This is one of the first times NWS has partnered with public health to assess extreme-weather warnings. Collaborations for similar studies could be done in the future to assess other existing or new warnings, particularly with NWS's growing interest to add public health messaging to their warnings to improve the public response and hopefully prevent weather-related morbidity and mortality.

Heat-related illnesses (HRI) are the most frequent cause of environmental exposure-related injury treated in US emergency departments (ED). While most individuals with HRI evaluated in EDs are discharged to home, understanding predictors of individuals hospitalized with HRI may help public health practitioners and medical providers identify high risk groups who would benefit from educational outreach. We analyzed data collected by the Georgia Department of Public Health, Office of Health Indicators for Planning, regarding ED and hospital discharges for HRI, as identified by ICD-9 codes, between 2002 and 2008 to determine characteristics of individuals receiving care in EDs. Temperature data from CDC's Environmental Public Health Tracking Network were linked to the dataset to determine if ED visits occurred during an extreme heat event (EHE). A multivariable logistic regression model was developed to determine characteristics predicting hospitalization versus ED discharge using demographic characteristics, comorbid conditions, socioeconomic status, the public health district of residence, and the presence of an EHE. Men represented the majority of ED visits (75 %) and hospitalizations (78 %). In the multivariable model, the odds of admission versus ED discharge with an associated HRI increased with age among both men and women, and odds were higher among residents of specific public health districts, particularly in the southern part of the state. Educational efforts targeting the specific risk groups identified by this study may help reduce the burden of hospitalization due to HRI in the state of Georgia.

OBJECTIVES: We describe the demographics of the decedents from the tornado outbreak in Alabama on April 27, 2011; examine the circumstances of death surrounding these fatalities; and identify measures to prevent future tornado-related fatalities. METHODS: We collected information about the decedents from death certificates, disaster-related mortality surveillance, and interview data collected by American Red Cross volunteers from the decedent's families. We describe demographic characteristics, circumstances and causes of death, and sheltering behaviors before death. RESULTS: Of the 247 fatalities, females and older adults were at highest risk for tornado-related deaths. Most deaths were directly related to the tornadoes, on scene, and trauma-related. The majority of the deceased were indoors in single-family homes. Word of mouth was the most common warning mechanism. CONCLUSIONS: This tornado event was the third deadliest in recent US history. Our findings support the need for local community shelters, enhanced messaging to inform the public of shelter locations, and encouragement of word-of-mouth warnings and personal and family preparedness planning, with a special focus on assisting vulnerable individuals in taking shelter. (Am J Public Health. Published online ahead of print June 13, 2013: e1-e7. doi:10.2105/AJPH.2013.301291).

OBJECTIVE: To describe the injuries and illnesses treated by the American Red Cross (Red Cross) during Hurricanes Gustav and Ike disaster relief operations reported on a new Aggregate Morbidity Report Form. METHODS: From August 28 to October 18, 2008, 119 Red Cross field service locations in Louisiana, Mississippi, Tennessee, and Texas addressed the healthcare needs of people affected by the hurricanes. From these locations, individual client visit data were retrospectively collated per site onto new 24-hour Aggregate Morbidity Report Forms. RESULTS: A total of 3863 clients were treated. Of the clients, 48% were girls and women and 44% were boys and men; 61% were 19 to 64 years old. Ninety-eight percent of the visits occurred in shelters. The reasons for half of the visits were acute illness and symptoms (eg, pain) and 16% were for routine follow-up care. The majority (65%) of the 2516 visits required treatment at a field location, although 34%, or 1296 visits, required a referral, including 543 healthcare facility transfers. CONCLUSIONS: During the hurricanes, a substantial number of displaced evacuees sought care for acute and routine healthcare needs. The capacity of the Red Cross to address the immediate and ongoing health needs of sheltered clients for an extended period of time is a critical resource for local public health agencies, which are often overwhelmed during a disaster. This article highlights the important role that this humanitarian organization fills, to decrease surge to local healthcare systems and to monitor health effects following a disaster. The Aggregate Morbidity Report Form has the potential to assist greatly in this role, and thus its utility for real-time reporting should be evaluated further.

INTRODUCTION: The Texas Department of State Health Services (DSHS) implemented an active mortality surveillance system to enumerate and characterize hurricane-related deaths during Hurricane Ike in 2008. This surveillance system used established guidelines and case definitions to categorize deaths as directly, indirectly, and possibly related to Hurricane Ike. OBJECTIVE: The objective of this study was to evaluate Texas DSHS' active mortality surveillance system using US Centers for Disease Control and Prevention's (CDC) surveillance system evaluation guidelines. METHODS: Using CDC's Updated Guidelines for Surveillance System Evaluation, the active mortality surveillance system of the Texas DSHS was evaluated. Data from the active mortality surveillance system were compared with Texas vital statistics data for the same time period to estimate the completeness of reported disaster-related deaths. RESULTS: From September 8 through October 13, 2008, medical examiners (MEs) and Justices of the Peace (JPs) in 44 affected counties reported deaths daily by using a one-page, standardized mortality form. The active mortality surveillance system identified 74 hurricane-related deaths, whereas a review of vital statistics data revealed only four deaths that were hurricane-related. The average time of reporting a death by active mortality surveillance and vital statistics was 14 days and 16 days, respectively. CONCLUSIONS: Texas's active mortality surveillance system successfully identified hurricane-related deaths. Evaluation of the active mortality surveillance system suggested that it is necessary to collect detailed and representative mortality data during a hurricane because vital statistics do not capture sufficient information to identify whether deaths are hurricane-related. The results from this evaluation will help improve active mortality surveillance during hurricanes which, in turn, will enhance preparedness and response plans and identify public health interventions to reduce future hurricane-related mortality rates.

OBJECTIVES: We measured the burden of hypothermia- and hyperthermia-related health care visits, identified risk factors, and determined the health care costs associated with environmental heat or cold exposure among Medicare beneficiaries. METHODS: We obtained Medicare fee-for-service claims data of inpatient and outpatient health care visits for hypothermia and hyperthermia from 2004 to 2005. We examined the distribution and differences of visits by age, sex, race, geographic regions, and direct costs. We estimated rate ratios to determine risk factors. RESULTS: Hyperthermia-related visits (n = 10,007) were more frequent than hypothermia-related visits (n = 8761) for both years. However, hypothermia-related visits resulted in more deaths (359 vs 42), higher mortality rates (0.50 per 100,000 vs 0.06 per 100,000), higher inpatient rates (5.29 per 100,000 vs 1.76 per 100,000), longer hospital stays (median days = 4 vs 2), and higher total health care costs ($98 million vs $36 million). CONCLUSIONS: This study highlighted the magnitude of these preventable conditions among older adults and disabled persons and the burden on the Medicare system. These results can help target public education and preparedness activities for extreme weather events.