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72 results for “Preparedness”
Longitudinal data to explore changes in flood risk awareness and preparedness
<p>This upload includes two different longitudinal datasets. The Panel datasets includes two rounds of surveys where the same individuals were interviewed. The Repeated Cross-Sectional includes two rounds of surveys where different individuals were interviewed in each round. The first survey round is the same in the two datasets. Data were collected in the municipality of Negrar (VR), in North-eastern Italy in February 2019 and in February 2020, following a flash flood which occurred in September 2018. </p>
Covid-19 Level Of Preparedness Data
<p>Pan India survey by the title of “Survey on General Indian population on the level of preparedness for COVID-19 pandemic” was launched and received around 1250 submissions.</p>
Preparedness for Contingencies: A Systematic Review of the Factors that Influence the Crisis Resilience of Project Managers
<p>The goal of this review paper is to investigate factors that contribute to project managers' crisis resilience through a systematic review of the literature and bibliometric analysis using VOXviewer. Existing research on project management and resilience focuses on urban resilience, community resilience, organisational resilience, team resilience, individual resilience, resilience of critical infrastructure, and flood resilience. In the context of project managers, however, the factors that influence crisis resilience and preparedness remain unclear. Using the PRISMA framework for systematic literature, 55 peer-reviewed articles published between 1993 and 2022 that met our criteria were identified through a structured keyword search in the Scopus and WoS databases. The systematic review and bibliometric analysis reveal eight (8) clusters, which we further categorise into four determinants. This is the most important finding of this review. In the context of the roles of project managers, the results of a comparative analysis reveal four prominent factors for enhancing crisis resilience: 1. leadership (individual resilience, influence, team trust, emotional intelligence); 2. interpersonal skill (conflict management, persistence, crisis preparedness); 3. agility (proactiveness, coping capacity, and adaptive capacity); 4. risk management and vulnerability (perception, awareness) . These factors are essential for developing project managers who are less susceptible to future crises and disasters. This study has exhaustively characterised the possibilities and capacities of crisis resilience in terms of competency, integration, collaboration, and novelty; however, the search was restricted to a small number of databases and a short period of time, which could be explored in future research. According to the findings, most previous research on crisis resilience focused on emergency preparedness and was primarily conducted in Western and American studies. There is a lack of a holistic perspective on crisis resilience, which will be developed. We believe that international collaboration efforts to establish a platform for the exchange of knowledge between Western and American nations and ASEAN members are necessary</p>
Wildlife and Environment Gaps in Pandemic Prevention and Preparedness
<p>Supplemental Materials for "Gaps in health security related to wildlife and environment affecting pandemic prevention and preparedness"</p>
Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya
<p>The COVID-19 pandemic put a strain on healthcare facilities across the globe. Dental facilities pose the highest COVID-19 transmission risk categories due to the aerosol-generating procedures involved in dental practice. This study aimed to determine financial, supplies, and human resource preparedness in managing the COVID-19 pandemic among Nairobi County, Kenya dental facilities. A cross-sectional study was conducted using a mixed-methods approach among 183 dental facilities in Nairobi County. Data was collected using a KoboCollect questionnaire and analyzed using MS Excel and SPSS version 26. Dental facilities' readiness was assessed using the ReadyScore Criteria. Qualitative data was collected through one-on-one interviews with key informants and analyzed thematically. Readyscore Criteria analysis showed that 39 (21.3%) of the evaluated dental facilities were considered "ready," while 133 (72.7%) and 11 (6%) were considered to have "work to do" and "not ready" for the pandemic. Bivariate analysis showed that the level of facility (p<0.001), presence of other departments (p<0.001), funds sufficiency for COVID-19 emergency response (p=0.001), and clients attended per month (p=0.017) were statistically significant factors associated with pandemic preparedness scores. Regression analysis revealed that the presence of other departments among the dental facilities was a significant predictor of readiness, with a 4.5 times higher likelihood of being ready for a pandemic (aOR 4.591; 1.471–14.327, p=0.009) compared to other facilities. Support from healthcare authorities and capacity-building initiatives are recommended to enhance preparedness and resilience among dental facilities in the face of the COVID-19 pandemic.</p>
Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Pandemic Preparedness
<p>These supplementary materials represent the partial dataset in the form of semi-structured interviews, collected and analyzed in the research article "Unlocking global access to medicines for pandemics: the potential and limits of alternative innovation models". This article is one of the outcomes of the "New Business Models for Pharmaceutical Innovation and Global Access to Medicines" research project, conducted at the Global Health Center, within the Geneva Graduate Institute. The dataset contains 8/11 interviews collected and used in this article, which are published with the informed consent of the interviewees.</p> <p>Details about the research project can be found at: <a href="https://www.graduateinstitute.ch/NBM">https://www.graduateinstitute.ch/NBM</a></p>
Graphic Illustration of Cody Thompson's Talk: A Museum Perspective Preserve a Voucher Specimen! Tools for Pandemic Preparedness
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Cody Thompson at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Prevalence of Hookworm Infection and Community Preparedness for Hookworm Vaccine Trials in Endemic Areas of Brazil
ClinicalTrials.gov study NCT00939198. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Preparedness Study - HPV Vaccine
ClinicalTrials.gov study NCT01489527. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Stroke Ready: A Stroke Preparedness Brief Intervention
ClinicalTrials.gov study NCT03831451. IPD Sharing: NO. Countries: 1. Publications: 1.
Earthquake Preparedness Training and Nursing Students' Awareness, Literacy, and Attitudes
ClinicalTrials.gov study NCT06896968. IPD Sharing: YES. Countries: 1. Publications: 1.
Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya
Open the record for dataset details and reuse information.
iTYSA GIS-based flood preparedness wireframe and mock-up demonstration
<p>This file contains three items. First, the complete wireframes in Adobe XD format for the development of a GIS-Based mobile application for flood risk preparedness. Second, a video presenting the potential look and functioning of the iTYSA flood preparedness app with a mock-up created by Abby Muricho Onencan. The mock-up was created with Adobe XD and the demonstration was created with an inbuilt functionality for Adobe XD to develop videos. Finally there is a readme file.</p>
Developing epidemiological preparedness for a probable plant disease invasion: modelling citrus huánglóngbìng in the European Union
<p>Video 1: Spread of the vector in a single simulation in Region A (Valencia). Corresponds to Fig S10 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure.</p> <p>Video 2: Spread of the pathogen in a single simulation in Region A (Valencia). Corresponds to Fig 3 in main text. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction.</p> <p>Video 3: Spread of the pathogen in a single simulation in Region A (Valencia) using baseline parameters for detection and control. Corresponds to Fig 6 in main text. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell</p> <p>Video 4: Spread of the vector in a single simulation in Region B (Andalusia). Corresponds to Fig S13 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure.</p> <p>Video 5: Spread of the pathogen in a single simulation in Region B (Andalusia). Corresponds to Fig S14 in supplementary material. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction.</p> <p>Video 6: Spread of the pathogen in a single simulation in Region B (Andalusia) using baseline parameters for detection and control. Corresponds to Fig S17 in supplementary material. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell</p>
Simulation-Based Training on the Preparedness and Burden of Caregiver
ClinicalTrials.gov study NCT04745208. IPD Sharing: NO. Countries: 1. Publications: 7.
The Effect of Virtual Reality-Based Disaster Education Given to Nursing Students on Disaster Preparedness
ClinicalTrials.gov study NCT06253156. IPD Sharing: Not stated. Countries: 1. Publications: 0.
RCT: Impact of Preop Video on Patient Preparedness for Surgery
ClinicalTrials.gov study NCT02076360. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Davos Alzheimer's Collaborative Healthcare System Preparedness to Increase Cognitive Assessment Rates for Older Adults
ClinicalTrials.gov study NCT06191952. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Developing a Support Application for Food Pantries (SAFPAS) to Improve Client Access to Healthy Foods & Enhance Emergency Preparedness
ClinicalTrials.gov study NCT05880004. IPD Sharing: Not stated. Countries: 1. Publications: 1.
RESPOND: Improving the Preparedness of Health Systems to Reduce Mental Health and Psychosocial Concerns Resulting From the COVID-19 Pandemic
ClinicalTrials.gov study NCT04993534. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.