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77 results for “covid-19 outbreak”
Students' perceived obstacles with Forced Online Distance Learning during the CoVID-19 outbreak and their preferences to continue with the introduced teaching methods after the reopening of the University of Maribor [Project documentation]
<p>The outbreak of COVID -19 forced most universities into distance education. Three didacticians and researchers from the University of Maribor, Slovenia: Kosta Dolenc, Mateja Ploj Virtič and Andrej Šorgo formed a self-initiated initiative project group during the COVID -19 epidemic and started the first project with the working title: The Side Effects of Forced Online Distance Education (FODE).</p> <p>The aim of the second study, conducted during the first wave of the epidemic in March 2020, was to investigate the response of university students to the new situation. The project documentation provided for the Forced Online Distance Learning (FODL) consists of:</p> <ul> <li>abstract,</li> <li>instrument,</li> <li>copy of the descriptive statistics,</li> <li>and SPSS dataset.</li> </ul>
Forced Continuance Intention Model of Distance Online Teaching during CoVID-19 outbreak at University of Maribor, Slovenia [Project documentation]
<p>The outbreak of COVID -19 forced most universities into distance education. Three didacticians and researchers from the University of Maribor, Slovenia: Kosta Dolenc, Mateja Ploj Virtič and Andrej Šorgo formed a self-initiated initiative project group during the COVID -19 epidemic and started the project with the working title: The Side Effects of Forced Online Distance Education (FODE).</p> <p>The aim of the first study, conducted during the first wave of the epidemic in March 2020, was to investigate the response of university teachers to the new situation. The project documentation provided for the Forced Online Distance Teaching (FODT) consist of:</p> <ul> <li>abstract,</li> <li>instrument,</li> <li>copy of the descriptive statistics, and</li> <li>SPSS dataset.</li> </ul>
Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Literature sources
<p>The spreadsheet in the present dataset (CSV format) includes the sources considered during the literature review stage for the report: From intent to impact: Investigating the effects of open sharing commitments. Please note that not all sources in this deposit have been referenced in the above-mentioned report and that the report may include additional sources</p>
Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Survey responses
<p>The spreadsheets in the present dataset (CSV format) include the anonymised responses to our online survey of signatories of the Joint Statement on open research and data sharing. Responses have been split into quantitative responses (i.e., closed survey questions) and qualitative responses (i.e., free text survey questions).</p> <p>This data has been used to inform our final report, which is available in our <a href="https://zenodo.org/communities/data-sharing-in-public-health-emergencies">Zenodo Project Community</a>.</p>
Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Thematic coding of qualitative research findings
<p>The spreadsheet in the present dataset (CSV format) includes the anonymised thematic coding that has been applied to our interview and literature review findings to inform the preparation of the report: From intent to impact: Investigating the effects of open sharing commitments.</p> <p>The thematic coding has been applied by using <a href="https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home">NVivo</a>, a professional qualitative analysis software, and then exported in spreadsheet form for public sharing.</p> <p>Find out more about this project in our dedicated <a href="https://zenodo.org/communities/data-sharing-in-public-health-emergencies">Zenodo project community</a>.</p>
Covid19Kerala.info-Data: A collective open dataset of COVID-19 outbreak in the south Indian state of Kerala
<p>Covid19Kerala.info-Data is a consolidated multi-source open dataset of metadata from the COVID-19 outbreak in the Indian state of Kerala. It is created and maintained by volunteers of ‘Collective for Open Data Distribution-Keralam’ (CODD-K), a nonprofit consortium of individuals formed for the distribution and longevity of open-datasets. Covid19Kerala.info-Data covers a set of correlated temporal and spatial metadata of SARS-CoV-2 infections and prevention measures in Kerala. Static releases of this dataset snapshots are manually produced from a live database maintained as a set of publicly accessible Google sheets. This dataset is made available under the Open Data Commons Attribution License v1.0 (ODC-BY 1.0). <br> <br> <strong>Schema and data package</strong><br> Datapackage with schema definition is accessible at <a href="https://codd-k.github.io/covid19kerala.info-data/datapackage.json">https://codd-k.github.io/covid19kerala.info-data/datapackage.json</a>. Provided datapackage and schema are based on <a href="https://specs.frictionlessdata.io/data-package/">Frictionless data Data Package specification</a>.</p> <p><strong>Temporal and Spatial Coverage </strong></p> <p>This dataset covers COVID-19 outbreak and related data from the state of Kerala, India, from January 31, 2020 till the date of the publication of this snapshot. The dataset shall be maintained throughout the entirety of the COVID-19 outbreak. </p> <p>The spatial coverage of the data lies within the geographical boundaries of the Kerala state which includes its 14 administrative subdivisions. The state is further divided into Local Self Governing (LSG) Bodies. Reference to this spatial information is included on appropriate data facets. Available spatial information on regions outside Kerala was mentioned, but it is limited as a reference to the possible origins of the infection clusters or movement of the individuals. </p> <p><strong>Longevity and Provenance </strong></p> <p>The dataset snapshot releases are published and maintained in a designated GitHub repository maintained by CODD-K team. Periodic snapshots from the live database will be released at regular intervals. The GitHub commit logs for the repository will be maintained as a record of provenance, and archived repository will be maintained at the end of the project lifecycle for the longevity of the dataset.</p> <p><strong>Data Stewardship </strong></p> <p>CODD-K expects all administrators, managers, and users of its datasets to manage, access, and utilize them in a manner that is consistent with the consortium’s need for security and confidentiality and relevant legal frameworks within all geographies, especially Kerala and India. As a responsible steward to maintain and make this dataset accessible— CODD-K absolves from all liabilities of the damages, if any caused by inaccuracies in the dataset. </p> <p><strong>License </strong></p> <p>This dataset is made available by the CODD-K consortium under ODC-BY 1.0 license. The Open Data Commons Attribution License (ODC-By) v1.0 ensures that users of this dataset are free to copy, distribute and use the dataset to produce works and even to modify, transform and build upon the database, as long as they attribute the public use of the database or works produced from the same, as mentioned in the citation below. </p> <p><strong>Disclaimer </strong></p> <p>Covid19Kerala.info-Data is provided under the ODC-BY 1.0 license as-is. Though every attempt is taken to ensure that the data is error-free and up to date, the CODD-K consortium do not bear any responsibilities for inaccuracies in the dataset or any losses—monetary or otherwise—that users of this dataset may incur. </p>
The CoVidAffect dataset of mood variations following the COVID-19 outbreak in Spain
<p>Latest Update of the CoVidAffect dataset</p>
Crowdsourced COVID-19 Cases and Outbreaks across Canadian Schools 2020-21: COVID Schools Canada
<p>This archive contains the final data freeze for COVID Schools Canada, and the software used to compile, clean, and plot the data. </p> <p>The <strong>Canada COVID-19 School Tracker</strong> was a 100% volunteer-led project tracking COVID-19 cases and outbreaks in schools across Canada from September 2020 to June 2021. The goal of this project was to highlight the impact of COVID-19 on schools and families; to advocate for safer schools; and to advocate for transparency in our educational system.<br> This project is an initiative of grassroots advocacy group <a href="https://masks4canada.org/">Masks4Canada</a>.</p> <p>To learn more about project and see the interactive map of COVID-19 cases and outbreaks across Canadian schools as compiled by this project, visit <a href="https://covidschoolscanada.org/">https://covidschoolscanada.org/ </a></p> <p>For questions about these data, please contact <a href="mailto:shraddha.pai@utoronto.ca?subject=COVID%20Schools%20Canada%20Zenodo%20archive">Shraddha Pai</a>.</p>
The Situation of South Korea regarding the early stage of COVID-19 outbreak
<p>Drive-Through Screening Centers for COVID-19</p>
Stable psychological traits predict perceived stress related to the COVID-19 outbreak
<p>This repository contains the raw dataset associated to the scientific article "Stable psychological traits predict psychological perceived stress to COVID-19 outbreak”, by L. Flesia, V. Fietta, B. Segatto, M. Monaro. Data are contained in the excel file and organized as follows:</p> <p>- the entire dataset used by the authors to perform statistical analysis</p> <p>- the training set used by the authors to train and validate ML models</p> <p>- the test set used by the authors to test the ML models</p> <p>The "Legend" file contains the description of each variable in the excel file.</p> <p>The step by step instructions to replicate the results of ML classification models, which are reported in the paper, including two .arff files containing the training and test set od data that can be directly run in WEKA software 3.9.</p> <p>The "COVID-19 QUESTIONNAIRE" file contains the English version of the questions administered to participants.</p>
Mental health consequences of the Covid-19 outbreak in Spain
<p>The objective is to analyze the effects of the pandemic and alarm situation on the psychological health, loneliness, intersectional discrimination and spiritual wellbeing of the general population in a longitudinal way in three moments: after two weeks of the beginning of the confinement (between March 21 and 29), after a month (between April 13 and 27), and after two months (between May 21 and June 4), with the beginning of the deconfinement and return to the new normality. The study received the approval of the Deontological Commission of the Faculty of Psychology of the Complutense University of Madrid (pr_2019_20_029) prior to its implementation. The signing of the informed consent and acceptance of the data protection laws was also included in the evaluation. The evaluations were carried out by means of an online survey, with a sample of 3480 persons in the first data collection and of 1041 and 569 persons in the successive moments of evaluation. The presence of depressive symptoms, anxiety and posttraumatic stress disease (PTSD) was evaluated by means of screening tests. Sociodemographic data, variables about Covid-19, loneliness, psychological well-being, social support, discrimination and a sense of belonging were collected.</p> <p><strong>Participants</strong></p> <p>Recruitment consisted of sending requests for participation to people belonging to databases of different institutions: students and workers in public organizations such as the Complutense University of Madrid and the academic Chair Against Stigma, and private organizations such as the company Group 5. These databases contain sufficient data to perform reasonable sampling of the Spanish population. To increase the sample size as much as possible participants were asked to help with its dissemination. The percentage of people recruited in this way was small, estimated as less than 5%. The inclusion criteria were: 1. To be over 18 years old; 2. To be living in Spain during the Covid-19 health emergency; 3. To have agreed to participate in the second evaluation of the study.</p> <p>A total of 3480 people participated in the first evaluation. For the subsequent evaluations, those people who had previously agreed to participate in the study were contacted by email in a longitudinal way (specific section of the evaluation), recruiting a total of N = 1041 in the second data collection, and in the third evaluation N = 569.</p> <p>In the resulting sample, a majority of women (81%) was obtained as opposed to 51% of the general population. With respect to age, a greater equivalence was obtained, although with a higher percentage of people under 60 years than in the general population: 29% (18-30), 64% (31-59) and 7% (60-80) for the three respective groups, compared to 10%, 44% and 19% for the general population (the remaining 5% do not meet the criteria for inclusion/exclusion).</p> <p><strong>Variables and instruments</strong></p> <p>The following variables and instruments were included in the assessment:</p> <p><em>Sociodemographic variables</em></p> <p>Using ad hoc questions, data was collected on age (subsequently grouped into clusters: 18-30, 31-59, 60-80); gender identity; marital status (single, married, divorced, separated, widower); educational level (elementary studies, high school, vocational training, university, postgraduate); economic situation (subjective perception from very bad to very good).</p> <p><em>COVID-19 related variables</em></p> <p>Suffering from symptoms (yes, no); existence of a family members or close relatives who are infected (yes, no); perception of the information received on the alarm situation (considering that they have sufficient information, or that they are over-informed). </p> <p><em>Mental health</em></p> <p>Mental health was assessed with the PHQ-4 composed by the Patient Health Questionnaire 2 (PHQ-2) (Kroenke, Spitzer, Williams, & Löwe, 2009) and the Generalized Anxiety Disorder Scale (GAD-2) (Spitzer, Kroenke, Williams, & Löwe, 2006). The PHQ-2 was used in its Spanish version (Diez-Quevedo, Rangil, Sanchez-Planell, Kroenke, & Spitzer, 2001) and is a brief self-report questionnaire that addresses the frequency of depressive symptoms. It consists of 2 Likert-type questions ranging from 0 “never” to 3 “every day”. Higher scores indicate greater symptomatology, providing a severity score that ranges from 0 to 6. GAD-2 was also used in its Spanish version (Garcia-Campayo et al., 2014). The GAD-2 Questionnaire includes the first 2 items of the GAD-7 Likert format, with a maximum score of 6 points.</p> <p><em>Loneliness</em></p> <p>Measured by the 3 item version of the UCLA Loneliness Scale (UCLA-3) in its Spanish version and self-applied (Russell 1996; Velarde-Mayol et al. 2016). The three items in Likert format with three response options (1 rarely, 2 sometimes, 3 often), address three dimensions of loneliness: relational connection, social connection, and self-perceived isolation.</p> <p><em>Intersectional discrimination</em></p> <p>Intersectional discrimination was evaluated by means of the Intersectional Day-to-Day Discrimination Index (InDI-D) (Scheim & Bauer, 2019), in its Spanish version, which was translated by the authors of this study. This scale provides a measure of the intersectional discrimination that can be produced by different conditions: gender, ethnicity, mental health diagnosis, and in this case, the presence of COVID-19 was also included. We used the main scale formed by 9 Likert-type items (e.g. “Since the sanitary emergency caused by COVID-19 in Spain, have you been treated as if you were someone hostile, unhelpful or rude?”) with four response options (1 “never” – 4 “many times”). The different questions evaluated the presence of intersectional discrimination from the beginning of the alarm situation generated by the coronavirus. The higher the score the more discrimination suffered.</p> <p><em>Internalized stigma</em></p> <p>Internalized stigma was evaluated with two items adapted from the Internalized Stigma of Mental Illness (ISMI) scale (Boyd Ritsher, Otilingam & Grajales, 2003). The items (“Since the emergency situation generated by the coronavirus, have you avoided contacting people –in those cases permitted during lockdown– to avoid rejection?”; “Since the emergency situation generated by the coronavirus, have you felt that the people who are not in your situation are unable to understand you?”) were modified to evaluate intersectional internalized stigma, the self-stigma that can be generated by diverse conditions. These items refer to the alienation and social withdrawal dimensions taken from the original scale. It was evaluated with the same Likert-type scale as the one used to measure the intersectional perceived discrimination.</p> <p><em>Social support</em></p> <p>Social support was evaluated by means of the Multidimensional Scale of Perceived Social Support (EMAS) (Zimet, Dahlem, Zimet, & Farley, 1988), adapted to a Spanish version (Landeta & Calvete, 2002). The scale, made up of 12 Likert-type items with 7 possible responses (1 “totally disagree” to 7 “totally agree”), evaluates the levels of perceived social support, identifying where the support comes from and how it is perceived. The EMAS explores three possible sources of perceived social support –family (4 items), friends (4 items) and relevant people (4 items)–, and offers a full measure of social support.</p> <p><em>Spiritual well-being</em></p> <p>Spiritual well-being was assessed using the Spanish version of the Functional Assessment of Chronic Illness Therapy Spiritual Well-Being (FACIT-Sp12) (Cella et al. 1998). This test evaluates physical, family, functional and spiritual well-being, focusing in this questionnaire only on spiritual well-being with two dimensions: meaning and peace. Four items were selected from the scale focusing on these aspects. The answers were Likert type from 0 (nothing) to 4 (a lot). Higher scores indicate greater well-being.</p> <p><em>Self-Compassion Scale (SCS) </em></p> <p>Was used in its Spanish version (Garcia-Campayo et al., 2014; Neff, 2003). The scale evaluates how the subject usually acts towards himself in difficult moments in different dimensions. Here we explore with 6 items the following three: self-love, common humanity and mindfulness. The items are Likert type (1 to 5). Higher scores indicate more self-pity.</p> <p><em>Sense of belonging</em></p> <p>The sense of belonging to different work/study groups, friends, family and neighborhood or community was evaluated through four Likert-type items (1 much - 4 nothing) (Hernán Montalbán & Rodríguez Moreno 2017).</p>
COV-BHP - Psychological Impact of the COVID-19 Outbreak on Health Professionals
<p>The COVID-19 pandemic had a massive impact on health care systems,<br> increasing the risks of psychological distress in health professionals. This database includes data from a study which assessed the prevalence of burnout and psychopathological conditions in health professionals working in a health institution in the Northern Italy, and identified socio-demographic, work-related and psychological predictors of burnout. Health professionals working in the hospitals of the Istituto Auxologico Italiano were asked to participate to an online anonymous survey investigating socio-demographic data, COVID-19 emergency-related work and psychological factors, state anxiety, psychological distress, post-traumatic symptoms and burnout.</p>
The Psychological Impact of COVID-19 Outbreak on COVID-19 Survivors and Their Families
ClinicalTrials.gov study NCT04365348. IPD Sharing: NO. Countries: 1. Publications: 2.
Impact of coronavirus disease 2019 (COVID-19) outbreak on radiology research: an Italian survey
<p>This article reports the results of a national survey, which had the purpose of understanding how COVID-19 pandemic has changed the scientific activity of Italian radiology researchers. A total of 327 Italian radiologists took part in the survey (mean age: 49±12 years). The majority of participants (245/327, 74.9%) was not working for or in agreement with a University and most of them were hospital staff radiologists (222/327, 67.9%). More than two-thirds of surveyed radiologists (231/327, 71%) was working in a public institution, which mostly was a general hospital (188/327, 57.5%); 86/327 (26.3%) participants declared to work in a university hospital. After national lockdown, the working-flow came back to normal in the vast majority of cases (285/327, 87.2%). Participants reported that a total of 462 radiological trials were recruiting patients at their institutions prior to COVID-19 outbreak, of which 332 (71.9%) were stopped during the emergency. On the other hand, 252 radiological trials have been started during the pandemic, of which 156 were non-COVID-19 trials (61.9%) and 96 were focused on COVID-19 patients (38.2%). Participants reported a significant increase of the number of hours per week spent for research purposes during national lockdown (mean 4.5±8.9 hours during lockdown vs. 3.3±6.8 hours before lockdown; p=.046), followed by a significant drop after lockdown (3.2±6.5 hours per week, p=.035). Notably, 60% of participants reported that they do not spend any time on research. During national lockdown, 15.6% of participants started new review articles and completed old papers, 14.1% completed old works, and 8.9% started new review articles. Ninety-six surveyed radiologists (29.3%) declared to have submitted at least one article during COVID-19 emergency. This study confirms the need to be prepared to future challenging scenarios like COVID-19 emergency in order to support radiology researchers, thereby allowing them to push forward their activity.</p>
Mental health status of health care professionals during the Covid-19 outbreak The initial study in Qazvin province, Iran
<p>This study was conducted to examine the mental health status of health care workers fighting COVID-19 in Qazvin province, Iran.</p>
Diagnostics of COVID-19/DARTS (Development and Assessment of Rapid Testing for SARS-CoV-2 Outbreak)
ClinicalTrials.gov study NCT04351646. IPD Sharing: Not stated. Countries: 1. Publications: 1.
COVID-19 Genomic Sequencing for Nosocomial Outbreak Investigations
ClinicalTrials.gov study NCT05411562. IPD Sharing: YES. Countries: 1. Publications: 1.
Sleep Behaviour in Athletes During Home Confinement Due to the Covid-19 Outbreak
ClinicalTrials.gov study NCT04632615. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Impact of COVID-19 Outbreak on Non-COVID-19 Patients
ClinicalTrials.gov study NCT04537559. IPD Sharing: NO. Countries: 1. Publications: 5.
Anxiety and Work Resilience Among Tertiary University Hospital Workers During the COVID-19 Outbreak: An Online Survey
ClinicalTrials.gov study NCT04358640. 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
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DANDI Archive for NWB datasets
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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.