Response Efforts Research Articles

Navigating dual hazards: Managing hurricane evacuation and sheltering operations Amidst COVID-19

Hurricane Laura made landfall in August of 2020 as a Category 4 storm, heavily affecting the coastlines of Texas and Louisiana. At the same time, both areas were coping with a surge in COVID-19 cases absent a vaccine. For this study, we explored how emergency management stakeholders navigated evacuation, sheltering, and re-entry planning and operations during a dual hazard threat where hurricane risk reduction measures contradicted COVID-19 risk reduction measures. We conducted 35 semi-structured interviews with emergency management stakeholders in Texas and Louisiana in the spring of 2021. Participants were recruited using a purposive sampling strategy designed to identify agency representatives and other officials involved with planning for hurricane season and with the Hurricane Laura response effort. We used thematic analysis to code and analyze the data. Findings suggest that while the process for planning for hurricanes had to shift to an online approach, the plan for addressing hurricane season was largely unchanged from the perspective of most participants until days before impact, when the decision was made to move to noncongregate sheltering. This led to adaptive and creative improvisation on the part of participants managing the evacuation and sheltering operations. Likewise, we found that caring for and communicating with evacuees in a noncongregate setting presented unanticipated challenges that required improvisation to address. Given the continued threat posed by COVID-19 and other respiratory illnesses, this study provides insights that emergency management stakeholders could apply to current and future planning and response efforts for hazards that require evacuation and sheltering.

A global database of tsunami deposits

AbstractGeomorphic environments play a crucial role in influencing the preservation and characteristics of tsunami deposits. This paper introduces a global database of tsunami deposits, encompassing information on deposit locations, thematic data such as geomorphic environments and proxies and bibliographic details. Additionally, the database features maps incorporating environmental parameters and the precise locations of tsunami deposits. The primary utility of this database lies in assessing progress and identifying gaps in knowledge. It also involves analysing the relationship between environmental parameters and interpreting areas with varying probabilities of tsunami deposit preservation. The files are readily compatible with GIS software and can seamlessly integrate into spatial databases associated with tsunamis or other hazards. This contributes significantly to disaster risk management, enhancing preparedness and response efforts by providing a comprehensive historical dataset on tsunamis. Future applications of the database include the incorporation of modern deposits, boulders and new data from paleotsunami and historical studies. By enhancing data with thematic information, such as dating techniques and creating timelines, the database facilitates a more comprehensive understanding. The correlation between geomorphic environments and proxies aids in selecting sampling sites and identifying suitable proxies for analysis. Encouraging an open‐access approach, this database invites all interested researchers to include and modify additional information. The information compiled for this database serves multiple purposes: (1) assessing the global distribution of tsunami deposits; (2) identifying knowledge gaps in tsunami deposits; (3) guiding the selection of study areas for further research and finally; (4) enabling a meta‐analysis of the information gathered.

First Nationwide Mpox Vaccination Program in the Republic of Korea: Implications for an Enhanced Public Health Response.

On May 1, 2024, the Republic of Korea lifted the infectious disease crisis alert for mpox, almost two years after the first case was reported. The Korea Disease Control and Prevention Agency (KDCA) has led the response, which included diagnosis, epidemiological investigations, treatment, and vaccination. This article particularly reviews the vaccination strategy implemented and proposes suggestions for enhancing future response efforts. Initially, the KDCA recommended pre-exposure prophylaxis for high-risk groups, later expanding to include broader demographics as domestic cases rose. By April 2024, a total of 6,863 individuals had received their first vaccine dose, with 3,875 completing the second dose of third-generation vaccines. Strategies to improve future responses include addressing stigma, securing nationally representative safety data, and conducting vaccine cost-benefit analyses. These measures will help ensure a robust and effective response to future outbreaks.

Performance assessment of indicators of a multi-hazards early warning system in an urban mountain region

The urban basins in the mountainous Andean regions are exposed to rapid and poorly planned urbanization processes, causing drastic changes in the landscape, climate, and hydrology. These factors have led to an intensification in the frequency of floods, landslides, falling trees, and droughts, among many other disasters. Therefore, the city of Manizales has implemented an Early Warning System (EWS) to address emergencies and prevent deaths and damage from some of these disasters. However, these hazards can occur simultaneously, further complicating emergency response efforts and requiring the EWS to address multiple hazards; therefore, it has become the Multi-Hazards Early Warning System (MHEWS), which requires indicators and thresholds to generate alerts within sufficient time. The MHEWS implemented in Manizales addresses initially the hazards of floods and landslides, using indicators and thresholds related to recent rainfall and river levels. This article evaluates these proposed indicators by assessing their forecasting capability, effectiveness, and efficiency in increasing warning times, the alarm duration compared to the event duration, and their forecasting ability based on the location of rainfall triggering floods, landslides and other hazards identify. The analyzed indicators focus on hazards and do not consider exposure or vulnerability in communities. The results indicate that a single hazard indicator is not enough, and including multiple indicators based on complementary sources of information improves the performance of MHEWS in addressing emergencies caused by rain.

Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells.

Monoclonal antibodies are increasingly used to prevent and treat viral infections and are pivotal in pandemic response efforts. Antibody-secreting cells (ASCs; plasma cells and plasmablasts) are an excellent source of high-affinity antibodies with therapeutic potential. Current methods to study antigen-specific ASCs either have low throughput, require expensive and labor-intensive screening or are technically demanding and therefore not widely accessible. Here we present a straightforward technology for the rapid discovery of monoclonal antibodies from ASCs. Our approach combines microfluidic encapsulation of single cells into an antibody capture hydrogel with antigen bait sorting by conventional flow cytometry. With our technology, we screened millions of mouse and human ASCs and obtained monoclonal antibodies against severe acute respiratory syndrome coronavirus 2 with high affinity (<1 pM) and neutralizing capacity (<100 ng ml-1) in 2 weeks with a high hit rate (>85% of characterized antibodies bound the target). By facilitating access to the underexplored ASC compartment, the approach enables efficient antibody discovery and immunological studies into the generation of protective antibodies.

Forecasting and stock control for fast-moving humanitarian aid supplies

In Indonesia, effective disaster management is imperative due to the region's susceptibility to a wide array of natural and man-made disasters. The establishment of the National Disaster Management Agency (BNPB) underscores the significance of this issue. This study investigates the improvement of disaster logistics, with a particular emphasis on the challenges associated with fast-moving humanitarian supplies. The primary obstacle in disaster logistics lies in the unpredictability of demand after the disaster occurred, coupled with the potential for supply disruptions stemming from inadequate inventory in warehouses. A critical focus of this research is placed on fast-moving humanitarian aid supplies, which are essential for immediate relief efforts, even when lead times are short. The study's primary objective is the development of a safety stock level policy for BNPB's national warehouse, adjusted through the analysis of demand forecasts and lead times. Notably, the research results for the year 2022 reveal minimal errors in demand forecasts. This outcome highlights the effectiveness of the safety stock policy in proactively addressing spikes in demand and mitigating uncertainties related to supply timelines. The research underscores the critical role of accurate inventory management, particularly in the case of fast-moving humanitarian supplies, within the context of disaster relief efforts. It emphasizes the importance of forward-thinking planning to meet urgent needs, ultimately contributing to more efficient disaster response efforts and ensuring the timely delivery of vital relief items to affected populations.

The role of social work practitioners and human service professionals in long-term disaster recovery after the 2016 Alberta wildfires in Canada.

The 2016 Alberta wildfires resulted in widespread destruction of property and displacement of residents. Research aimed to identify the roles and responsibilities of social work practitioners and human service professionals in long-term disaster recovery. This article presents the findings from interviews, focus groups, and a survey with a total of 140 participants in Alberta, Canada. Implications for disaster social work planning, and response and recovery efforts in Canada and internationally, will inform the development of programs and policies to support and make visible the contribution of social workers and human service professionals in long-term disaster recovery.

Inequities in food access during the COVID19 pandemic: a multilevel, mixed methods pilot study.

Innovative data integration may serve to inform rapid, local responses to community needs. We conducted a mixed methods pilot study among communities of color or low-income in the San Francisco Bay Area amid the COVID-19 pandemic to assess a hypothesized data model to inform rapid response efforts. Between 2020-2021, we collected (1) qualitative data through neighborhood reports submitted via Streetwyze, a mobile neighborhood mapping platform; (2) survey data on social and economic circumstances; and (3) geospatial data among residents of three counties. Qualitative data were coded and then integrated with survey and geospatial data. We used descriptive analyses to examine participants' experiences with food in their neighborhoods. Seventy percent of participants reported food insecurity before and after the pandemic began in March 2020. Within neighborhood reports, food was the most frequently occurring sub-theme within the Goods and Resources parent themes (68% and 49% of reports, respectively). Security (88%), resource programs (88%), outdoor space (84%), and equity (83%) were more likely to be mentioned by participants who were food insecure compared to those who were not (12%, 12%, 16%, 17%, respectively). Mentions of food in neighborhood reports more often occurred in census tracts with lower socioeconomic status and more area-level food insecurity. Individuals who were food insecure reported a constellation of needs beyond food, including needs related to safety and greater social equity. Our data model illustrates the potential for rapid assessment of community residents' experiences to provide enhanced understanding of community-level needs and effective support in the face of changing circumstances.

Yoksulluk ve Afetlerin İnsan Güvenliği ve Refahı Üzerindeki Etkileri: Türkiye Örneği

Poverty and disasters are complex issues that directly impact the quality of life and security of people worldwide. Poverty makes communities more vulnerable to disasters, thereby increasing the risks of catastrophes. Factors such as inadequate infrastructure, unplanned urbanization, and resource limitations exacerbate the effects of poverty, potentially escalating the frequency and severity of disasters. Moreover, low educational attainment and insufficient pre-disaster risk management can adversely affect post-disaster crisis management, hindering swift recovery efforts for communities. Impoverished communities often struggle to access essential services such as emergency medical assistance in the aftermath of disasters. This difficulty significantly impairs post-disaster response and recovery efforts, deepening the impact of disasters on impoverished societies and prolonging the return to normalcy. Economic losses, asset depletion, and decreased labor productivity further push already impoverished populations into long-term cycles of poverty. Restrictions in accessing basic necessities also pose significant barriers during post-disaster recovery processes; challenges in transportation, housing, and nutrition can contribute to worsening poverty conditions. In this context, the role of poverty in disaster preparedness is crucial. It is vital for countries like Turkey to strengthen the capacities of all local communities and develop effective disaster strategies. Integrating poverty alleviation strategies with disaster management systems is essential to mitigate disaster risks, minimize post-disaster impacts, and facilitate faster community recovery. This study aims to underscore the importance of poverty in disaster preparedness processes and develop strategic recommendations by focusing on the relationship between poverty and disasters in Turkey. Keywords: Disaster, Disaster Management, Poverty, Security, Turkey

Adaptive coordination strategies in humanitarian action: lessons from the COVID-19 pandemic

Purpose This study aims to investigate the optimization of coordination mechanisms in humanitarian action and focuses on the challenges posed by the COVID-19 pandemic. Design/methodology/approach Conducted as a case study in collaboration with an international humanitarian organization, this research examines the components and associated coordination mechanisms of humanitarian action phases. Findings The analysis reveals the complexities of managing humanitarian crises, emphasizing the need for adaptive coordination strategies. Four key crisis response coordination mechanisms are explored – structural configuration, outcome standardization, process standardization and mutual adjustment. The study particularly assesses the emergency-development phase. Research limitations/implications This study is limited to a single humanitarian organization and the COVID-19 context. Future research could explore additional case studies and broader contexts to enhance understanding of coordination mechanisms in humanitarian crises. Practical implications This research has practical implications for humanitarian organizations, policymakers and practitioners involved in crisis response. Enhancing coordination mechanisms and strategies can improve the efficacy of response efforts and facilitate navigation of the complexities of humanitarian crises. Social implications Effective coordination is crucial in mitigating the impact of humanitarian crises and promoting social resilience. By optimizing coordination mechanisms, this research contributes to building more adaptive societies in the face of global challenges. Originality/value This study innovatively applies the activities-resources-actors (ARA) model to the humanitarian context and concentrates on the response to COVID-19 of one international humanitarian organization. By adapting the ARA model to a real-world scenario, this research provides insights into optimizing coordination mechanisms in crisis management.

Health Service Utilization Patterns Among Medicaid Enrollees With Intellectual and Developmental Disabilities Before and During the COVID-19 Pandemic: Implications for Pandemic Response and Recovery Efforts.

To assess the impact of COVID-19 on health service utilization of adults with intellectual and developmental disabilities (IDDs) through an analysis of Medicaid claims data. Retrospective cohort study of Medicaid claims. Medicaid members aged 25 to 64years from January 1, 2018, to March 31, 2021, from the states of Louisiana, Pennsylvania, and Wyoming. We analyzed data from two 12-month time periods (pre-COVID-19 and during COVID-19) and assessed the potential impact of the COVID-19 pandemic on health service utilization and service intensity for 3 cohorts: (1) IDD with preexisting mental health diagnoses, (2) IDD without mental health diagnoses, and (3) all other Medicaid members. Health service utilization determined by specific claims data classifications. The analysis showed reduced utilization for nonmental health service types with differing utilization patterns for IDD with preexisting mental health diagnoses, IDD without mental health diagnoses, and all other Medicaid members. Change in utilization varied, however, for mental health service types. Measures of service intensity showed decreased numbers of members utilizing services across most service types and increased Medicaid claims per person across most mental health service categories but decreased Medicaid claims per person for most nonmental health services. Results suggest a need for mental health services among all Medicaid members during the COVID-19 pandemic. By anticipating these needs, communities may be able to expand outreach to Medicaid members through enhanced case management, medication checks, and telemedicine options.

Thin lines between native and invasive aquatic plants are common, posing challenges for response efforts

Abstract Lines separating native and invasive plant species can be thin due to close relatedness, obscured by cryptic invasions, or breached by hybridization. Past work suggests these phenomena are especially prevalent in aquatic systems. This could arise from strong filters imposed by aquatic environments magnifying the importance of ‘preadaptation’—non‐native species succeeding where closely related native species occur due to shared traits. If so, there should be stronger signals of preadaptation in aquatic than terrestrial plant invasions, with implications for management. I tested for stronger influence of preadaptation in aquatic than terrestrial invasions by comparing relatedness of invasive and native species in aquatic versus terrestrial flora of the Midwestern USA using herbarium records and taxonomic and phylogenetic analyses. I predicted that aquatic species would constitute an evolutionarily distinct subset of plants; aquatic invaders would be more closely related, taxonomically and phylogenetically, to native aquatic plants than terrestrial invaders are to their native counterparts; and aquatic invaders from the Midwest's primary donor region (the Palearctic) would be more closely related to Midwestern species than are Palearctic aquatic plants that are not invasive in the Midwest. Findings supported the evolutionary legacy of adaptation to aquatic environments being reflected in thin lines separating invasive and native aquatic plants. Aquatic species constituted an evolutionarily distinct subset of plants, and invasive aquatic plants were more closely related to native aquatic plants (taxonomically and phylogenetically) than terrestrial invaders were to terrestrial native species. Additionally, aquatic plants of the Palearctic that are invasive in the Midwest were more closely related to Midwestern natives (phylogenetically, but not taxonomically) than were their non‐invasive counterparts, reinforcing the role of preadaptation. Synthesis and applications: Thin lines separating native from invasive aquatic plants pose challenges for response efforts. For resource managers, the prevalence of cryptic invasions requires dedicated, robust approaches to surveillance. For outreach, finer distinctions between native and invasive necessitate nuanced approaches to communication and education. And when control is needed, it should be implemented cautiously to minimize nontarget impacts to close native relatives, but thoroughly enough to prevent native relatives being displaced by competition and/or introgression.

An early warning indicator trained on stochastic disease-spreading models with different noises.

The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies. Nevertheless, the intricate dynamics of real-world disease spread, often influenced by diverse sources of noise and limited data in the early stages of outbreaks, pose a significant challenge in developing reliable EWSs, as the performance of existing indicators varies with extrinsic and intrinsic noises. Here, we address the challenge of modelling disease when the measurements are corrupted by additive white noise, multiplicative environmental noise and demographic noise into a standard epidemic mathematical model. To navigate the complexities introduced by these noise sources, we employ a deep learning algorithm that provides EWS in infectious disease outbreaks by training on noise-induced disease-spreading models. The indicator's effectiveness is demonstrated through its application to real-world COVID-19 cases in Edmonton and simulated time series derived from diverse disease spread models affected by noise. Notably, the indicator captures an impending transition in a time series of disease outbreaks and outperforms existing indicators. This study contributes to advancing early warning capabilities by addressing the intricate dynamics inherent in real-world disease spread, presenting a promising avenue for enhancing public health preparedness and response efforts.

Standardization of Dual-Doppler Radar–Derived Wind Fields during a Hurricane Landfall

Abstract A new methodology for standardizing radar-derived elevated dual-Doppler (DD)-synthesized wind maps to the near surface is presented, leveraging the spatial variability found within the horizontal wind speed fields. The methodology is applied to a dataset collected by Texas Tech University (TTU) using two TTUKa-band mobile radar systems during the landfall of Hurricane Delta (2020) in coastal Louisiana. Relevant portions of the DD wind fields are extracted from multiple heights between 100 and 400 m above ground level, combined into 10-min segments and standardized to a reference height of 10 m and an open exposure roughness length of 0.03 m. Extractions from these standardized wind fields are compared and validated against the standardized wind measurements from a micronet of seven TTU StickNet platforms providing “ground truth” within the DD analysis domain. The validation efforts confirm the developed DD wind field standardization methodology yields robust results with correlation coefficients greater than 0.88 and mean biases less than 1%. The results of this study provide a new means for incorporating elevated DD radar data into new and existing surface wind field analysis systems geared toward generating a wind field of record during a hurricane landfall. Significance Statement This work presents a new methodology for using radar-generated wind fields during a hurricane landfall to support the construction of a surface wind field analysis. Because radar-based wind measurements are inherently elevated above the surface and because the wind conditions well above the ground do not directly translate to the wind conditions experienced at the ground, a method for standardizing the elevated radar wind fields to the surface provides tremendous value to generating a spatially continuous wind field of record during a hurricane landfall event to better inform event response and recovery efforts. In addition, the need for detailed wind fields of record from landfalling hurricanes that approach structural design limits is critical as a single design-level storm can alter building code return period analysis. Detailed wind fields for these high-impact events can directly inform associated updates in building codes ultimately contributing to a more resilient built environment.

Intelligent Emergency Assisted Decision-Making Method Based on Standard Digitalization: Hazardous Chemical Accidents in Industrial Parks

Contemporary society is confronted with multifaceted challenges, and the intricate interplay of interconnected factors significantly complicates emergency response efforts. Current practices rely on quick decisions by domain experts; however, the limitations of individual expertise and the urgency of crises hinder both precision and standardization. To address these issues, we propose a novel approach: an intelligent method for emergency decision making grounded in a standardized digital knowledge graph. First, our study examined the underlying theory of standardized digital transformation and event-chain evolution. This led to the construction of a knowledge graph encompassing standard emergency knowledge, as well as supplementary derivative data pertinent to event response. Second, through the application of semantic analysis and intention recognition of the decision target, coherent and interpretable query sentences for the decision system were crafted. These query sentences then served as a conduit for retrieving standard emergency knowledge relevant to the current emergency situation, as well as potential secondary disasters. The overarching goal is to provide emergency decision makers with effective support mechanisms that are both well informed and tailored to the specific demands of each situation.

Beyond the needle: a qualitative exploration of Sierra Leonean healthcare workers' post COVID-19 vaccination experiences.

The global health crisis precipitated by the COVID-19 pandemic underscored the necessity of swift vaccine development and distribution to curb virus transmission. However, discussions on vaccine acceptance and hesitancy have predominantly focused on pre-vaccination attitudes, often overlooking the significance of post-vaccination experiences in shaping individual and communal attitudes toward vaccines. This oversight is particularly critical among healthcare workers in low- and middle-income countries (LMICs), who play a dual role in combating the pandemic and influencing public vaccine sentiment. Using the theory of planned behavior, this study explores the post-vaccination experiences of healthcare workers in Sierra Leone and assesses how these experiences influence their attitudes toward vaccine safety, efficacy and their advocacy for vaccine uptake within their communities. Employing a qualitative design, the study interviewed 24 healthcare workers, 21 of whom were vaccinated against COVID-19. Semi-structured interviews, conducted in English or Krio, were audio recorded, transcribed verbatim and analyzed using thematic analysis to identify key themes. Three themes were identified: positive vaccination experiences exceeding initial expectations, strong belief in the vaccine's protective benefits and active roles in vaccine advocacy. Despite initial hesitations due to concerns over potential adverse effects, participants reported no significant issues post-vaccination, fostering trust in vaccine safety and effectiveness. Healthcare workers' positive post-vaccination experiences significantly bolster their vaccine advocacy, influencing their recommendations to patients, friends, families, colleagues and community members. This study highlights the importance of understanding and leveraging healthcare workers' experiences to enhance public trust and vaccine uptake, crucial for pandemic response efforts in LMICs.

The Role of Local Governments in The Context of Disaster Communication and Social Media: The Example of 06 February 2023 Kahramanmaraş Earthquake

The February 06, 2023, Kahramanmaraş earthquake brought great destruction and loss of life to the region. In times of crisis, effective disaster communication is crucial to ensure public safety and facilitate response efforts. Local governments play a critical role in managing and disseminating information during disasters using various communication channels, including social media. This research aims to analyze the role of local governments in disaster communication during the Kahramanmaraş earthquake. In particular, it examined how local governments use social media for disaster communication, the strategies they use to manage information dissemination, and the effectiveness of their communication efforts. By exploring these key issues, this study aims to provide insights into the vital role of local governments in disaster communication and contribute to improving future disaster response efforts. In this context, using the case study method, the posts of Kahramanmaraş Metropolitan Municipality on X accounts were analyzed between February 06, 2023, and March 09, 2023.

Diagnostic testing preferences can help inform future public health response efforts: Global insights from an international survey.

Public perception regarding diagnostic sample types as well as personal experiences can influence willingness to test. As such, public preferences for specific sample type(s) should be used to inform diagnostic and surveillance testing programs to improve public health response efforts. To understand where preferences lie, we conducted an international survey regarding the sample types used for SARS-CoV-2 tests. A Qualtrics survey regarding SARS-CoV-2 testing preferences was distributed via social media and email. The survey collected preferences regarding sample methods and key demographic data. Python was used to analyze survey responses. From March 30th to June 15th, 2022, 2,094 responses were collected from 125 countries. Participants were 55% female and predominantly aged 25-34 years (27%). Education and employment were skewed: 51% had graduate degrees, 26% had bachelor's degrees, 27% were scientists/researchers, and 29% were healthcare workers. By rank sum analysis, the most preferred sample type globally was the oral swab, followed by saliva, with parents/guardians preferring saliva-based testing for children. Respondents indicated a higher degree of trust in PCR testing (84%) vs. rapid antigen testing (36%). Preferences for self- or healthcare worker-collected sampling varied across regions. This international survey identified a preference for oral swabs and saliva when testing for SARS-CoV-2. Notably, respondents indicated that if they could be assured that all sample types performed equally, then saliva was preferred. Overall, survey responses reflected the region-specific testing experiences during the COVID-19. Public preferences should be considered when designing future response efforts to increase utilization, with oral sample types (either swabs or saliva) providing a practical option for large-scale, accessible diagnostic testing.

Design &amp; Development of Rescue Assistance Rover for Land-Based Operations

In the face of natural disasters like earthquakes and landslides, timely and efficient rescue operations are paramount to saving lives. However, these operations are often hindered by hazardous conditions and inaccessible terrain. This research focuses on the design and development of a Rescue Assistance Rover (RAR) aimed at enhancing the capabilities of rescuers in challenging environments. The RAR integrates advanced robotics, sensory systems, and communication technologies to navigate through debris, assess hazards, and provide crucial assistance to rescue teams. By leveraging autonomy and remote operation capabilities, the RAR aims to augment human efforts, improving overall response effectiveness and minimizing risks to both rescuers and survivors. This paper outlines the conceptualization, design considerations, development stages, and potential applications of the RAR, highlighting its potential to revolutionize disaster response efforts and save lives in critical situations. Key Words: Additive Manufacturing, 3D Printing, Rocker Bogie Mechanism, Arduino Programming, Rescue Operations, Robotics

Exploration of Black/African American College Survivors of IPV During COVID-19 Utilizing Descriptive Analysis.

The last few decades have ushered in an increase in scholarship focused on campus-based violence, specifically sexual violence, sexual assault, and unwanted sexual experiences. This rise in sexual violence scholarship has promoted the examination of current campus-based interventions, resources, and response systems. However, there exists a dearth of research exploring the experience of intimate partner violence for college students within college/university settings. In this descriptive analysis, we capture the prevalence of intimate partner violence for a nationwide sample of 1,035 college students across diverse college and university campuses within the United States. Researchers utilized a sociodemographic questionnaire and the Intimate Partner Violence Screening Questionnaire to capture and measure college students' experiences of intimate partner violence during the COVID-19 pandemic. To analyze the data, the Statistical Package for Social Sciences (SPSS 28) was used. Univariate analyses and cross-tabulation analyses were conducted to examine the data. Specifically, due to the majority of research focusing on cisgender, White heterosexual women respondents, we focus our analysis on the experiences of Black and/or African American survivors of intimate partner violence on college campuses, in hopes of capturing the prevalence of intimate and relationship violence for Black/African American college students across colleges and universities. Results of this study revealed the prevalence of all types of intimate partner violence and abuse such as emotional/psychological, physical, and sexual violence within Black/African American college students. Findings from this database study produce implications for college/university campuses to consider capacity to address enduring psychological concerns and outcomes tied to intimate partner violence within college/university campuses, while also considering culturally responsive prevention and intervention efforts.