Survey Protocol Research Articles

Pl@ntNet Crops: merging citizen science observations and structured survey data to improve crop recognition for agri-food-environment applications

We present a new application to recognize 218 species of cultivated crops on geo-tagged photos, ‘Pl@ntNet Crops’. The application and underlying algorithms are developed using more than 750k photos voluntarily collected by Pl@ntNet users. The app is then enriched by data and photos coming from the European Union’s (EU) Land Use and Coverage Area frame Survey (LUCAS). During five tri-annual LUCAS campaigns from 2006 to 2018, 242 476 close-up ‘cover’ photos of crops were collected. The survey protocol for these photos specified that ‘the picture should be taken at a close distance, so that the structure of leaves can be clearly seen, as well as flowers or fruits’. This unique labelled data provides an opportunity to further generalize the Pl@ntNet computer vision algorithms to recognize crops and enlarge their geographic representivity across the EU. To include LUCAS cover photos, we semantically match Pl@ntNet species and LUCAS legends, predict the species on LUCAS cover photos with the existing Pl@ntNet algorithm, and consider the accuracy of the classification and the number of species enriched by the photos. By setting a threshold of 0.5 on the Pl@ntNet prediction probabilities, 70 170 LUCAS photos representing 101 species classified with an accuracy of 0.9 were added to the ‘Crops’ app. The thematic accuracy of the legacy LUCAS data was improved by distinguishing 218 species, opposed to the original 36 LUCAS levels. Official and publicly financed LUCAS datastreams can now be improved because of Pl@ntNet citizen science, photo collection, and deep learning model development. Further use of the app and policy-relevant workflows in the agri-food-environment domain are discussed.

Evaluation of Language Disordered Children with Dyslexia and Teachers’ Awareness in Port Harcourt City

Dyslexia is a disorder that impacts a child negatively and, as such, should not be overlooked when it manifests in a child. As a reading and writing disorder, it always gives concern to parents whenever a child who has attained speaking and writing ages is not able to read or write as he/she ought to. Therefore, the main focus of this work is to evaluate the language disordered children with dyslexia with the view to ascertain the teachers’ levels of awareness of this disorder in Port Harcourt city. This work adopted the descriptive survey protocol, and data was got from ’THE CHILD” Special School, Kaduna street, D-line Port Harcourt. It is worthy of note from the data obtained in this investigation, that the teachers were obviously ignorant of what dyslexia means, and so it can be concluded that their levels of awareness of this disorder is very low. The low awareness of this condition makes it so difficult for both the teacher and the affected child to cope well with each other. This is more prominent when the child is enrolled in a mainstream school, because teachers in such schools lack competence in the various special ways to handle the children with the disorder.

Being on the Outside of the Inside of the Ivory Tower: Nontenured Part-Time Faculty’s Attitudes Toward Their Colleagues and Management

This national qualitative exploratory study utilizes a critical social class lens to analyze how nontenured part-time faculty members’ relationships with their tenured/tenure-track colleagues and management shape their attitudes and behaviors toward their employment in higher education during the COVID-19 pandemic. The 54 participants were selected through random and convenience sampling. Participants completed a digital survey protocol. The resulting data underwent two cycles of coding, descriptive and pattern coding, which revealed four findings: nontenured part-time faculty describe members of the professional managerial class (PMC) as out-of-touch and unsympathetic individuals who exude elitism, believe higher education is structured to exploit and trap them, describe waning class solidarity with tenured/tenure-track faculty, and feel segregated from the PMC and tenured/tenure-track faculty. The study concludes with a discussion of the findings, recommendations, and areas for future scholarship.

Elusive species and where to find them: assessment of survey protocols for primates habitat selection

Context With the ongoing biodiversity crisis and the continued loss of species, it becomes crucial to find practical solutions to monitor threatened animal populations for wildlife conservation and management. However, in practice, monitoring is especially challenging for elusive, rare, and wide-ranging species, where estimating abundance is often expensive and time-consuming. Alternatively, estimating occupancy (i.e. detection/non-detection data) may be less resource-intensive, while still providing useful information for monitoring population trends. Aims We aimed to describe a new field method, the random walk grid survey, to conduct a habitat selection study on elusive diurnal forest-dwelling primates. We explored how to improve occupancy estimates when detection probability is low and determined the minimal effort needed for reasonable estimates on the species habitat selection by using site-occupancy models. Methods We collected data to assess the northern pigtailed macaques’ (Macaca leonina) occupancy and detection probability using a random walk survey of degraded forest fragments in Sakaerat Biosphere Reserve in Northeast Thailand. We ran simulations to identify what is required for minimum survey efforts to obtain reasonable estimates of occupancy and detection probability on small or relatively large spatial scales, covering a small primate community in Southeast Asia. Key results Simulations showed that the probability of detecting macaques increased dramatically with an increased survey effort. However, compared with similar line-transect survey methods, the random walk grid survey was less time-consuming. Additionally, the occupancy and habitat selection estimates were similar to our knowledge of macaque distribution within the study area. Conclusions Our findings suggest that the new random walk grid survey method is effective to assess the elusive northern pigtailed macaques’ occupancy, and to provide reliable data on habitat selection where there is low macaque abundance and detection probability in a degraded forest fragment. Implications Our survey protocol could be used as a starting point to target high location occupancy to start habituation processes, but also for further intensive studies on primate behaviour and habitat use of primate communities. Finally, combining the random walk grid survey with automated recording devices (e.g. camera traps or passive acoustic surveys) could help improve occupancy and detection probability estimates for long-term monitoring programs and over large spatial scales.

Mental health and well-being of unpaid caregivers: a cross-sectional survey protocol

IntroductionUnpaid caregiving, care provided by family/friends, is a public health issue of increasing importance. COVID-19 worsened the mental health conditions of unpaid caregivers, increasing substance/drug use and early development of...

Using Breeding Bird Survey and eBird data to improve marsh bird monitoring abundance indices and trends

The elusive nature of many marsh-breeding birds presents a challenge for effective population monitoring. The Great Lakes Marsh Monitoring Program (GLMMP), delivered by Birds Canada, addressed these challenges by concentrating survey efforts in marsh bird habitats and by using survey protocols aimed at maximizing marsh bird detections. GLMMP data suggest that numerous marsh bird species are declining. Here we consider the value of other avian monitoring programs to support our understanding of marsh bird population trends. Our goal was to compare the GLMMP, North American Breeding Bird Survey (BBS), and eBird with each other and with a combined survey, by evaluating frequency of detection, annual indices of abundance, and trend estimates. Using 23 years (1997–2019) of GLMMP, BBS, and eBird data, we calculated annual indices of abundance and trends for each survey for 18 marsh-breeding species across southern Ontario, Canada. We found that the GLMMP had more frequent detections, greater counts, and/or more precise trends for 8 species that breed almost exclusively in marshes, whereas 10 species with more variable habitat preferences had more frequent detections, greater counts, and/or more precise trends based on eBird and/or BBS. We found that combining counts from the GLMMP, BBS, and eBird increased the precision around trend estimates for 11/18 (61%) species; however, trend estimates for combined data tended to be positively biased relative to GLMMP trends for species that also frequent non-marsh habitats. We, therefore, provide evidence that combining citizen science data from multiple sources could increase the power to detect changes in marsh-dependent bird populations. Integrated datasets thus provide a promising avenue for future marsh bird conservation and management.

Preliminary assessment of thermal imaging equipped aerial drones for secretive marsh bird detection

Rails are a highly secretive group of marshland obligate species that are difficult to consistently survey and detect. Current survey efforts utilize either call–playback or autonomous recording devices, but the low detection probabilities for rails create challenges for long-term systematic monitoring. Between 8 April and 16 May 2022, we flew a small aerial drone equipped with a thermal camera to survey for six species of rail (Black Rail ( Laterallus jamaicensis), Yellow Rail ( Coturnicops noveboracensis), Sora ( Porzana carolina), Virginia Rail ( Rallus limicola), Clapper Rail ( Rallus crepitans), and King Rail ( Rallus elegans)) along the Gulf Coast of Texas to assess the feasibility of long-term drone monitoring. We successfully conducted 33 flights at 15 m above ground level and detected rails on the first visit at 42% of known occupied points. We achieved 27 total rail detections, including 12 Black Rail/Yellow Rail detections. Of the birds detected, 81% exhibited no response to the drone’s first approach. We intend for this preliminary data to shape future survey protocol for secretive species occupying difficult to navigate terrain.

Costs and Coping Strategies of Tuberculosis Inpatients in Tertiary Care Hospital Settings in Lahore, Pakistan

Background: Despite free treatment and screening programs, Tuberculosis can reduce the working capability of patients due to the costs they incur. Eventually, it can lead to economic crises in low- and middle-income countries with a high prevalence of Tuberculosis. The objectives were to look into the costs incurred by Tuberculosis patients and to determine the coping strategies they adopted while admitted to the Hospitals for treatment of Tuberculosis. Methods: In this cross-sectional study, data was collected using an adapted questionnaire based on World Health Organization’s TB patient cost survey protocol. The study was conducted in two tertiary care hospitals in Lahore from November to December 2019. In all 309 TB patients admitted in these hospitals were administered the questionnaire. The data was analyzed with SPSS version 23 software. Results: The estimated direct medical costs per TB patient were 42,106.7 Pakistani Rupees ($271.65). Indirect costs per patient were double of this i.e. 76,013.4 Pakistani Rupees ($490.40). About 65.3 % of patients suffered Catastrophic Health Expenditure with a significant difference between the household income before and during TB treatment. About 52.10% of total patients borrowed money from others and 28.76% sold their assets for meeting the costs incurred. Conclusion: Disparities in household income and treatment total costs lead to a decrease in financial risk protection of TB inpatients. A multi-sectoral approach may help cope with the costs of patients and increase the knowledge of newly diagnosed TB patients to decrease the incidence and achieve the END TB goals by 2035.

Evaluating the Challenges and Potential Complications of Breastfeeding in Naval Aviation.

Active duty flight crew plays a critical role in military operations. The occupational demands of the flying environment require a certain level of medical suitability. Additionally, such an environment could be more hazardous for certain populations. While the Centers for Disease Control and Prevention, the American Academy of Pediatrics, and the World Health Organization strongly support exclusive breastfeeding for the health benefit of both the mother and the child in the first 6 months of life, the aeromedical implications of lactating are not widely discussed. Breastfeeding is inherently challenging for many women, in part because of the frequent emptying required to maintain breastmilk supply and avoid complications such as engorgement, clogged ducts, and mastitis. This pilot study evaluated the experiences of individuals concurrently breastfeeding while on active duty Naval flying status to (1) assess whether these individuals experience frequent challenges or complications associated with lactating and (2) establish the need for future expanded studies. This survey-based, retrospective, descriptive study evaluated the experiences of 17 lactating individuals on active duty Naval flying status. Women were recruited using word of mouth and social media platforms. Responses were tabulated and summarized from the survey, which included yes/no questions and free-response sections regarding flying position, breastfeeding history, and breastfeeding challenges. This trial was approved by the Naval Air Warfare Center Aircraft Division (NAWCAD) Institutional Review Board (Protocol Number NAWCAD.2021.0004-IR-EP7). Of the 27 women who received study materials after expression of interest, 17 individuals completed the informed consent and survey protocols. Although limited by sample size and the demographics of respondents, the results highlight that the active duty flying environment did impact the breastfeeding experiences of the participants, with 88% of respondents reporting some difficulty or complication associated with breastfeeding and the operational flying environment. Difficulty in maintaining breastmilk supply, engorgement, and the need for supplementation were some of the concerns discussed. This study hypothesizes that occupational demands associated with aviation result in a decreased ability to maintain exclusive breastfeeding, an increased risk for engorgement and clogged ducts, and a higher likelihood of early weaning among Naval aviators. It included only the perspectives of Naval officers, thereby lacking the input of enlisted aircrew on flight status, who comprise a large population of active duty flyers. The responses, although limited by a lack of controls and survey limitations, indicate that a future study to expand understanding of the aeromedical implications on lactating individuals would be valuable for improving workplace support and the ultimate success of lactating women in meeting their breastfeeding goals.

An Evaluation of Western Chicken Turtle (Deirochelys reticularia miaria) Survey and Capture Protocols

The behaviors and activity season of Deirochelys reticularia miaria (Western Chicken Turtle) are poorly understood in Texas. Though distribution of D. r. miaria in the eastern portion of the state is widespread, turtle assemblage studies conducted within the range of the species in Texas have seldom documented its presence. There is a lack of formal protection for this subspecies and their habitat, and past research suggests that remaining habitat within the state is under threat from increasing urbanization. Therefore, the US Fish and Wildlife Service issued a 90-day finding that states listing the subspecies as threatened or endangered may be warranted. To provide survey recommendations for the western subspecies, we review species-wide capture techniques from the literature, recommend a survey season for D. r. miaria in Texas, and evaluate the efficacy and potential demographic biases of capture protocols implemented during field studies in the state in 2018 and 2019. We compared road surveys, dipnet surveys, seine surveys, night wading surveys, and two types of unbaited fyke net trap. Fyke nets were effective in every study that deployed them and captured D. r. miaria in this study at a rate of 0.25 captures per trap night. Dipnet surveys had the highest capture rate among active survey methods, but body size biases between methods were apparent. In Texas, road surveys yielded significantly lower capture rates than all other survey types. The best survey method selection will vary depending on research questions, budget, and time constraints. Utilizing proper survey protocols and understanding the activity season are crucial for performing effective studies on this species.

To improve existing marsh bird survey protocols, we need to evaluate closure assumptions

AbstractOur collective understanding of secretive marsh birds has increased in the past decades due to the development and implementation of the North American Standardized Marsh Bird Monitoring Protocol (hereafter, Protocol). The Protocol proposes call broadcast surveys to increase vocalization and detection rates within 3 standardized survey periods aimed at surveying peak breeding activity for a suite of secretive marsh birds. We noted a trend in the literature linking occupancy modeling with the survey design from the Protocol, despite some evidence that vocalizations decline across survey periods, which could indicate lack of population closure. An underlying assumption of occupancy modeling is closure, and the Protocol was designed to focus on only birds which will remain in an area throughout the breeding season and not migrants that may only be present in the first survey period. Including migrating marsh birds, especially if a large percentage of marsh bird detections are migrants, can bias occupancy estimates and lead to erroneous density and population size estimates that may affect conclusions about habitat resource and bird associations. We urge researchers and managers to carefully consider the analytical and field techniques when designing studies for marsh birds and to not simply pair the biweekly survey design within the Protocol with occupancy modeling and ignore closure assumptions, turnover rates, and potential differences in resource use by migrating and breeding marsh birds. Specifically, we suggest that researchers consider short survey interval times (e.g., ~2 days rather than 2 weeks) or continuous call monitoring using automated recorded devices deployed for 1–2 weeks per survey location when using occupancy analysis on secretive marsh birds. We also call for future study of turnover rates, stopover duration, and vocalization rates during migration and breeding periods to better inform study designs and increase the appropriateness of statistical analysis.

Combined Web-Based Visualisation of 3D Point Clouds and Acoustic Descriptors: An Interdisciplinary Challenge

This paper presents an online application—called 3D integrator—enabling visual cross-examinations of architectural and acoustic data on web browsers and explains the rationale behind its development. The tool consists of a series of overlays developed over the Potree 3D point cloud renderer. It is used to display visually, in an interactive environment, the 3D point clouds resulting from a survey protocol tailored to the specific needs of the corpus under scrutiny—15 small-scale edifices often referred to as “minor heritage assets”—and to the research’s overall ambition, reasoning on architectural and acoustic features at an interdisciplinary level. One of the tool’s distinctive features is to project abstract information (acoustic descriptors) in a “close to real” 3D space (point clouds), hence merging scientific visualisation and information visualisation practices. The paper first shortly sums up the particularities of the survey protocol and discusses the implementation of the analytical add-ons that have been introduced (visual trace of the survey protocol itself, volume calculation, and exploratory 3D representation of acoustic descriptors). It then focuses on use cases that illustrate what the approach helps to observe concerning the interiors of edifices when capturing and co-examining dimensional and acoustic features.

Maintenance-State Assessment Model for Building Maintenance Forecasting

This study aims to provide maintenance-state assessment model for forecasting of building maintenance condition. The selected institutions for the study were state funded hospitals and schools (14 functional out of 23 general hospitals and 2 out of 3 tertiary schools). In this study, considering the shortcomings of the most widely accepted condition survey protocol (CSP) 1 matrix, that is suitable for small projects and defect based, the study developed a model that is suitable for large projects and maintenance management system based for assessment of building’s condition. This model was developed analogous to CSP 1 matrix. Two types of ratings used are condition assessment and priority assessment. These two assessment criteria are then multiplied to determine the building maintenance rating score (BMRS). The study developed a 3x3 maintenance matrix model for evaluating building maintenance-state. It also found 25% of the buildings in “good condition” requiring only planned maintenance; 68.75% in “fair condition” requiring condition monitoring and 6.25% in “serious attention” condition.

The association between vitamin D status and sleep duration in school-aged children; the CASPIAN-V study.

Considering the high prevalence of both vitamin D deficiency (VDD) and sleep impairment in children and adolescents, this study was conducted to determine the association between VDD and sleep duration in the Iranian pediatric population. This multicentric national study was conducted in 2019 on 2564 frozen sera obtained from 7 to 18- year students who were studied in the fifth survey of a national school-based surveillance program conducted in 30 provinces of Iran. Sleep duration was assessed using a questionnaire based on the World Health Organization-Global School-based Student Health Survey protocol. Short sleep duration was defined as sleep duration less than 8h/day VDD Vitamin D < 20 ng/dL, and vitamin D insufficiency as 20-30 ng/dL.An adjusted logistic regression model was applied to evaluate the associations of vitamin D status with sleep duration. The Mean (SD) of students' age was 12.1(3.0) years; overall 10.6%of participants had VDD and 23% of participants had short sleep duration. in the adjusted logistic model, students with a low level of vitamin D (insufficient and deficient) had a higher odds of short sleep duration in comparison to those with normal vitamin D level (OR: 1.29, 95%CI: 1.02-1.62). The current study showed that low Vitamin D levels (insufficient and deficient)were significantly associated with short sleep duration in school-aged children. Further studies are recommended to determine the efficacy of vitamin D replacement in improving sleep duration and quality.

Integrated Population Models: Achieving Their Potential

Precise and accurate estimates of abundance and demographic rates are primary quantities of interest within wildlife conservation and management. Such quantities provide insight into population trends over time and the associated underlying ecological drivers of the systems. This information is fundamental in managing ecosystems, assessing species conservation status and developing and implementing effective conservation policy. Observational monitoring data are typically collected on wildlife populations using an array of different survey protocols, dependent on the primary questions of interest. For each of these survey designs, a range of advanced statistical techniques have been developed which are typically well understood. However, often multiple types of data may exist for the same population under study. Analyzing each data set separately implicitly discards the common information contained in the other data sets. An alternative approach that aims to optimize the shared information contained within multiple data sets is to use a “model-based data integration” approach, or more commonly referred to as an “integrated model.” This integrated modeling approach simultaneously analyzes all the available data within a single, and robust, statistical framework. This paper provides a statistical overview of ecological integrated models, with a focus on integrated population models (IPMs) which include abundance and demographic rates as quantities of interest. Four main challenges within this area are discussed, namely model specification, computational aspects, model assessment and forecasting. This should encourage researchers to explore further and develop new practical tools to ensure that full utility can be made of IPMs for future studies.

Medicinal plants used by rural communities in the arid zone of Viesca and Parras Coahuila in northeast Mexico

This study is the first record of medicinal plants in the southwest of the Coahuila state, an arid zone where extreme dry conditions prevail. One hundred twenty-two residents (in sixteen communities) were interviewed. The residents were questioned with a questionnaire-guided ethnomedical survey protocol about the various plants used. Seventy-seven species of medicinal plants belonging to 36 botanical families were cited. The highest use-value (UV) was calculated for Lippia graveolens Kunth (0.30); Aloe vera (L.) Burm.f. (0.20); Eucalyptus abdita Brooker & Hopper, Chamaemelum nobile (L.) All. (0.16); Mentha spicata L. (0.15) and Salvia officinalis L. (0.10). Informant consensus factor (ICF) about usages of medicinal plants ranges from 0.41 to 0.80; the highest level of agreement was determined between the informants and Respiratory System Diseases (0.80). The highest fidelity level (FL) values (100%) were identified in Flourensia cernua DC., Artisia ludoviciana Nutt., and Parthenium incanum Kunth to Gastro-intestinal System Diseases; Eucalyptus abdita Brooker & Hopper, Bougainvillea berberidifolia Heimerl, and Lippia graveolens Kunth to Respiratory System Diseases (RSD) and Cyclolepis genistoides D.Don and Ephedra antisyphilitica Berland. ex C.A.Mey. to Obstetrics, Gynecology and Urinary tract Diseases. These last two medicinal plant species (“palo azul” and “pitoreal”) used by the rural communities in Viesca in the treatment of urinary tract infections and kidney stones have not been reported previously. These findings can provide new research directions for further phytochemical studies. The present study revealed that the residents are rich in ethno-medicinal knowledge and actively use medicinal plants to treat various diseases. New phytochemical and pharmacological research are needed to confirm the therapeutic potential and safety of the identified plants.

Organic Contamination Distribution Constrained with Induced Polarization at a Waste Disposal Site

Waste disposal sites are a serious concern due to their potential contamination threat. Site characterizations are the basis for contamination remediation, among which borehole-based methods are time-consuming. This study aims to utilize time-domain induced polarization (TDIP) to constrain groundwater and soil organic contamination. Fourteen TDIP profiles were arranged using three acquisition methods at a disposal site contaminated with benzene. A data quality analysis was first conducted to overcome poor signals in high-salinity groundwater conditions. The TDIP results show that solid waste can be classified into two distinct types based on chargeability. The results of induced polarization measurements and X-ray fluorescence analysis proved the presence of metal substances causing high chargeability. The waste with metals was the benzene contamination source. Finally, we propose a procedure for the integration of geophysical and geochemical methods to delineate contaminated areas. A new roll-along survey protocol was developed to meet the needs of long-profile surveys of contaminated shallow groundwater and soil sites.

A colonial-nesting seabird shows no heart-rate response to drone-based population surveys

Aerial drones are increasingly being used as tools for ecological research and wildlife monitoring in hard-to-access study systems, such as in studies of colonial-nesting birds. Despite their many advantages over traditional survey methods, there remains concerns about possible disturbance effects that standard drone survey protocols may have on bird colonies. There is a particular gap in the study of their influence on physiological measures of stress. We measured heart rates of incubating female common eider ducks (Somateria mollissima) to determine whether our drone-based population survey affected them. To do so, we used heart-rate recorders placed in nests to quantify their heart rate in response to a quadcopter drone flying transects 30 m above the nesting colony. Eider heart rate did not change from baseline (measured in the absence of drone survey flights) by a drone flying at a fixed altitude and varying horizontal distances from the bird. Our findings suggest that carefully planned drone-based surveys of focal species have the potential to be carried out without causing physiological impacts among colonial-nesting eiders.

Density surface and excursion sets modeling as an approach to estimating population densities

AbstractEffective species management and conservation require knowledge of species distribution and status. We used point‐transect distance sampling surveys of the endangered palila (Loxioides bailleui), a honeycreeper currently found only on the Island of Hawai'i, USA, to generate robust estimates of total abundance and simultaneously model the distribution, abundance, and spatial correlation of the species as a density surface model (DSM). Point‐transect distance sampling is a widely applied method to estimate bird densities accounting for imperfect detection probability. For the DSM we used a generalized additive model framework and soap film smoothers to control the effects of boundary features. This modeling approach allowed us to account for imperfect detection and propagate detection probability uncertainty. We compared the uncertainty in palila abundance estimates using standard point‐transect distance sampling to estimates from the DSM. The DSM, accounting for both distance‐sampling‐derived detection probability variance and the generalized additive model density estimate variance, did not improve population estimator precision; however, it provided insight into the species' distribution, density, and uncertainty. We also applied excursion sets analysis to objectively identify areas where the species occurs in high densities. The 2017 global population of &lt;2,000 individuals was limited to an excursion area of 1,500 ha. Our findings can help management and regulatory agencies by simultaneously mapping a species' distribution and density, improving survey protocols, and providing information important to species conservation.

Exploring deaf students’ disaster awareness and preparedness in U.S. higher education settings: Implications for university-level DRR policy and programming

Deaf and hard of hearing (DHH) communities in the US are underserved during climate and human-caused disasters. While it is necessary for first responders, who are often hearing, to receive additional training, it is important to recognize that DHH individuals themselves are critical leaders in disaster preparedness and response in their communities. This paper examines DHH college students’ disaster awareness and knowledge through a cross-sectional survey protocol adapted from the Disaster Knowledge Instrument (Catedral Mamon, 2017). The survey pertains to disaster awareness, and was administered via a written English online survey platform, from October 1 to November 1, 2019, to DHH students attending a university in the Mid-Atlantic United States that is specifically designed for educating DHH students. Results consisted of 205 DHH participants with 58.5% (n = 120) identifying as white and 59.5% (n = 122) as female. Findings indicated significant differences in disaster experiences and awareness with respect to reported gender identities and racial and ethnic identities. Gender, in particular, had an extremely high correlation with disaster experiences, with 93.7% of the survey sample (n = 205) having experienced one or more disasters in their lifetime. Gender also significantly predicted knowledge about disaster preparedness and readiness, disaster awareness, and disaster risk perception. The analysis developed in this article demonstrates that while DHH college students may be aware of disaster and emergency related phenomena, students do not appear to possess an actionable foundation of knowledge to prepare for and mitigate disaster impacts. Moreover, it is not clear where students received the information they are reporting, as there is an extreme scarcity of data on disaster and emergency training for DHH serving primary, secondary, and higher education settings–including at the university where this study was conducted. Ultimately, the article identifies that a robust research program is needed to ascertain the current status of disaster education and training initiatives for DHH students. Such research is necessary for understanding the kinds of disaster preparedness activities taking place with DHH students, how effective they are, and to identify recommendations for policy and programmatic inputs. These activities could serve as a foundation for quality and equitable disability inclusive emergency planning and training of DHH community members, including those working and studying in educational institutions.