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189 results for “Emergency Management”
IMPLEMENTING AND EVALUATING A PAEDIATRIC EMERGENCY MANAGEMENT TRAINING PROGRAM FOR PRIMARY HEALTHCARE WORKERS IN ZARIA
<p>Nigeria continues to grapple with alarmingly high under-five mortality rates, with approximately 2,300 children dying daily due to preventable and treatable diseases such as pneumonia, malaria, and diarrheal illnesses. This crisis is particularly pronounced in rural areas, where childhood mortality rates are significantly higher than in urban centres. For many rural communities, primary healthcare (PHC) centres serve as the sole access point to medical services, making these centres critical to addressing this public health challenge. Despite their importance, PHC centres often face significant challenges, including inadequate infrastructure, limited access to essential medications, and a shortage of adequately trained health personnel.</p> <p>This study aimed to implement and evaluate a Paediatric Emergency Management Training Program for healthcare workers at PHC centres in Zaria, Kaduna State. The primary objective was to assess the effectiveness of the training in improving the competency of health workers in managing common paediatric emergencies, thereby enhancing the overall quality of care provided at these centres.</p> <p>A cross-sectional descriptive study was conducted involving 139 healthcare workers from selected PHC centres in Sabon Gari and Zaria Local Government Areas, utilizing a multi-stage random sampling technique. Data collection was performed using a pre-tested, semi-structured, self-administered questionnaire designed to evaluate the participants' baseline knowledge, followed by an assessment after the training intervention. The data were analysed using SPSS version 21, with chi-square tests employed to examine the associations between variables. Results were presented using tables and charts for clarity.</p> <p>The findings revealed a generally low baseline competency in managing common paediatric emergencies among the healthcare workers. Specifically, 66 (48.5%) of the respondents demonstrated very poor knowledge regarding the causes of common paediatric emergencies, 32 (23.5%) had poor knowledge, 34 (25.0%) had good knowledge, and only 4 (2.9%) of the respondents exhibited excellent knowledge. Similarly, knowledge regarding the treatment of these emergencies was also lacking, with 46.7% of respondents showing very poor understanding, 34.1% having poor knowledge, 16.3% demonstrating good knowledge, and only 3.0% showing excellent knowledge. A statistically significant relationship was observed between academic qualifications and knowledge levels in both causes (p = 0.004) and treatment (p = 0.000) of paediatric emergencies.</p> <p>The low baseline knowledge underscores the critical need for targeted training interventions. The study highlights the importance of establishing a sustained partnership between the Department of Paediatrics at Ahmadu Bello University Teaching Hospital and the Departments of Primary Health Care in Zaria and Sabon Gari Local Governments. Regular training workshops, held quarterly, are recommended to continuously equip PHC workers with the necessary skills to effectively manage paediatric emergencies, ultimately contributing to a reduction in childhood mortality rates in the region.</p>
Fig. 4 in Do managed bees drive parasite spread and emergence in wild bees?
Fig. 4. Overview of parasite detection in managed bees in North America and likely instances of parasite transmission between managed and wild bumblebees.
Fig. 3 in Do managed bees drive parasite spread and emergence in wild bees?
Fig. 3. Overview of parasite detection in managed bees in Japan and likely instances of parasite transmission between managed and wild bumblebees.
Fig. 5 in Do managed bees drive parasite spread and emergence in wild bees?
Fig. 5. Overview of parasite detection in managed bees in the British Isles and likely instances of parasite transmission between managed and wild bumblebees.
Fig. 2 in Do managed bees drive parasite spread and emergence in wild bees?
Fig. 2. Highlighting the three main mechanisms that influence parasite infections between managed and wild bee populations. Arrows represent direction of potential parasite spread as a result of the mechanism.
Fig. 1 in Do managed bees drive parasite spread and emergence in wild bees?
Fig. 1. The key factors that may drive disease emergence within and between populations of managed and wild bees. Adapted from Daszak et al. (2000).
THE IMPACT OF PAEDIATRIC EMERGENCY MANAGEMENT SKILLS ON PATIENT OUTCOMES IN ZARIA
<p><span>Paediatric emergencies represent a critical challenge in Nigeria, where approximately 2,300 children under the age of five die daily, predominantly from preventable and treatable conditions such as pneumonia, malaria, and diarrheal diseases. Mortality rates are disproportionately higher in rural areas, where primary health care (PHC) centers often serve as the only point of access to medical services. The effectiveness of these centers is largely dependent on the emergency management skills of their healthcare workers. Despite their importance, there has been limited research on how the skills of PHC workers in managing paediatric emergencies impact patient outcomes.</span></p> <p><span>This study aimed to assess the proficiency of healthcare workers in primary healthcare centers in Zaria in managing common paediatric emergencies. A cross-sectional descriptive study was conducted among 139 health workers selected through a multi-stage sampling technique in Sabon Gari and Zaria Local Government Areas. Data collection was carried out using a pre-tested semi-structured self-administered questionnaire. The data were analyzed using SPSS version 21, and associations were tested using the chi-square test, with results presented in tables and charts.</span></p> <p><span>The findings revealed a significant deficiency in the emergency management skills of healthcare workers. A majority of respondents demonstrated inadequate skills in handling paediatric emergencies, with 66 (48.5%) exhibiting very poor competency in the management of common paediatric emergencies, and 32 (23.5%) displaying poor competency. Only a small fraction, 4 (2.9%) of respondents, demonstrated excellent skills in emergency management. Similarly, 46.7% of the respondents had very poor skills in the treatment of common paediatric emergencies, while only 3.0% exhibited excellent treatment skills. A statistically significant relationship was observed between the level of academic qualification and emergency management skills (p < 0.05).</span></p> <p><span>The results underscore the critical need to enhance the skill levels of healthcare workers in PHCs through continuous professional development. This could be achieved through collaborative efforts between the Department of Paediatrics at Ahmadu Bello University Teaching Hospital and the Primary Health Care Departments of Zaria and Sabon Gari local governments, focusing on regular training and workshops. Improving the skills of healthcare workers in managing paediatric emergencies is essential for reducing child mortality and improving health outcomes in the region.</span></p>
Dataset for airway managed by emergency physicians or anaesthesiologists in trauma patients: A retrospective cohort analysis of outcomes
<p>This data is generated for a registry-based unmatched cohort study. We identified trauma patients requiring intubation during resuscitation in the emergency department of Queen Elizabeth Hospital, Hong Kong. Then extracted relevant trauma related parameters and outcome data from the trauma registry of the hospital and patients’ health records.<br> The hospital trauma registry captures any patients who met trauma resuscitation team activation criteria, who were triaged as critical or emergency in the ED, who died (excluding death prior to arrival to ED) and were admitted to intensive care units (ICU)/high dependency units (HDU). Injury and outcome data were prospectively collected and entered into the registry.</p>
Processed Sentinel 1, Sentinel 2 and Copernicus Emergency Management Service data for fine tuning and predicting flood extent with IBM's granite-geospatial-uki-flood-detection model
<p>This dataset contains processed Sentinel 1 Sentinel 2 imagery together with flood event labels extracted from the Copernicus Emergency Management Service. It has been assembled to demonstrate fine tuning and inference of flood event segmentation using granite geospatial foundation models developed by IBM Research. Please see <a href="https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection">https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection</a> for more information on models and use.</p> <p>Sentinel-1</p> <p>The European Space Agency. 2014. Sentinel-1 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-1">https://sentinel.esa.int/web/sentinel/missions/sentinel1</a>. Accessed: 2024-11-25.</p> <p>Sentinel-2</p> <p>The European Space Agency. 2015. Sentinel-2 Mission. <a href="https://sentinel.esa.int/web/sentinel/copernicus/sentinel-2">https://sentinel.esa.int/web/sentinel/missions/sentinel2</a>. Accessed: 2024-11-25.</p> <p>Copernicus Emergency Management Service</p> <p><a href="https://emergency.copernicus.eu/mapping/list-of-activations-rapid">https://emergency.copernicus.eu/mapping/list-of-activations-rapid</a>. Accessed: 2024-11-25. </p> <p><strong>Attribution</strong></p> <p>Contains modified Copernicus Sentinel data [2019-2024]</p> <p>Contains modified Copernicus Service information [2019-2023]</p>
Fire danger indices historical data from the Copernicus Emergency Management Service
<p>June, July August consolidated data.</p> <p>Generated using Copernicus Climate Change Service information 2021.</p>
Comparing and Combining Existing and Emerging Data Collection and Modeling Strategies in Support of Signal Control Optimization and Management (Project M2)
<p>For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field observations in their updates of time-of-day signal timing plans. These traditional signal optimization methods and tools use very limited amount of data and depend on default values in the signal timing optimization/simulation tools to estimate network performance under different signal optimization strategies. In recent years, new data collection technologies are emerging including high resolution controller data, more advanced detection technologies such as video image detection that are based on vehicle tracking and possible integration with microwave detectors, automatic-vehicle based identification technologies, third party crowdsourcing data, connected vehicles, and connected automated vehicles data. The objective of the proposed study is to propose methods and algorithms to combine data collected from existing and emerging sources with enhanced models and optimization algorithms to optimize and manage signal operations. The results from applying the developed methods and algorithms will be compared with traditional signal timing and optimization methods currently used by transportation agencies. </p>
Multiscale assessment of oviposition habitat associations and implications for management in the spotted lanternfly (Lycorma delicatula), an emerging invasive pest
<p>1. Control of incipient invaders—established invasive species in the early stages of spreading—can be inhibited by incomplete knowledge of the species' habitat use. By identifying consistent habitat associations for incipient invaders early, control efforts can be more effective. Yet, because habitat associations are the result of multiscale processes, approaches are needed for integrating data collected across scales to identify them.</p> <p>2. We employed a hierarchical, multiscale approach to identify oviposition habitat associations in the spotted lanternfly (<em>Lycorma</em> <em>delicatula</em>), an incipient invasive species of high concern in the United States. We targeted four oviposition habitat spatial scales most likely to be used by lanternflies and the spatial scales of explanatory habitat variables most easily used by managers to locate egg masses to control.</p> <p>3. Spotted lanternflies exhibited oviposition habitat associations at the landscape, site, and tree scales. Overall, lanternflies oviposited more frequently at sites and on trees with low canopy cover in the surrounding landscape indicating higher use of human-impacted habitat. Additionally, they oviposited more frequently on trees from the <em>Acer</em> genus and in the crowns of larger trees beyond the reach of managers without special equipment. The duration a site had been invaded had opposing effects on oviposition at the site and tree scales.</p> <p>4. Despite high variation in the number of eggs per egg mass, no habitat variables explained this variation, suggesting more work is needed to understand spotted lanternfly reproductive output.</p> <p>5. Synthesis and applications. Our results indicate a multiscale approach is needed for spotted lanternfly control with unique strategies for locating egg masses at sites and on trees that vary in invasion duration. Specifically, at younger sites at the invasion edge, managers should expect patchy colonization of sites, yet when a site is colonized, many trees will have egg masses. Comparatively, older sites at the invasion core are more likely to have egg masses present, yet often at a lower density, which may make them difficult to find on individual trees. Based on our results, we assert that multiscale investigations of habitat associations would likely inform the control of other incipient invasive species as well. </p>
Management of Diabetes in the Emergency Room: a Randomized Trial of an Insulin Protocol.
ClinicalTrials.gov study NCT00591227. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bougie Use in Emergency Airway Management
ClinicalTrials.gov study NCT02902146. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Emergency Department Digital Pain Self-Management Intervention to Improve Acute Low Back Pain Outcomes
ClinicalTrials.gov study NCT06360341. IPD Sharing: NO. Countries: 1. Publications: 30.
Telemedicine Enhanced Asthma Management Through the Emergency Department
ClinicalTrials.gov study NCT02752165. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Extended-release Naltrexone and Care Management for Alcohol Dependent Frequent Emergency Department Users
ClinicalTrials.gov study NCT02445339. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Laryngoscope Versus CMAC for Endotracheal Intubation in Patients Undergoing Emergent Airway Management
ClinicalTrials.gov study NCT01710891. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Acupuncture in the Emergency Department for Pain Management
ClinicalTrials.gov study NCT04880733. IPD Sharing: NO. Countries: 1. Publications: 5.
Emergency Department Initiated Extended-Release Naltrexone and Case Management for the Treatment of Alcohol Use Disorder
ClinicalTrials.gov study NCT04094584. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.