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1,173 results for “pandemics”
Clinician-researcher’s perspectives on clinical research during the COVID-19 pandemic
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Who develops pandemic fatigue? Insights from latent class analysis
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Temporal variability of microparticles under the Seattle Aquarium, WA: Documenting the global Covid‐19 pandemic
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Right-wing Authoritarianism, Left-wing Authoritarianism, and pandemic-mitigation authoritarianism
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Dataset and Scripts for: Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus
<p>Dataset and Scripts for the research article: Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus.</p> <p>A git repository can be found at: <a href="https://gitlab.com/smlatorreo/genetic_history_of_rice-infecting_magnaporthe_oryzae">https://gitlab.com/smlatorreo/genetic_history_of_rice-infecting_magnaporthe_oryzae</a></p>
Food security in ASEAN countries: an overview of rice self-sufficiency amidst the COVID-19 pandemic
<p>Data for analysis in the study on <strong>Food security in ASEAN countries: an overview of rice self-sufficiency amidst the COVID-19 pandemic</strong></p>
Global Macroeconomic Scenarios of the COVID-19 Pandemic: Results
<p>Results from modelling the Global Macroeconomic Scenarios of the COVID-19 Pandemic</p>
Global Macroeconomic Scenarios of the COVID-19 Pandemic: Shocks
<p>Shocks for modelling the Global Macroeconomic Scenarios of the COVID-19 Pandemic</p>
Raw data belonged to the study: The sharing of research data facing the COVID-19 pandemic
<p>Raw data belonged to the study: "The sharing of research data facing the COVID-19 pandemic"</p>
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
<p>Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective<br> R. Maria del Rio-Chanona, Penny Mealy, Anton Picheler, Francois Lafond, J. Doyne Farmer<br> contact:<br> Results <br> The supply, demand, and total shocks at the industry and occupation level are in files:</p> <p>industry_variables_and_shock.csv<br> occupation_variables_and_shock.csv</p> <p>To reproduce our results we also include<br> The employment data between industries and occupations<br> industry_occupation_employment.csv<br> The classification of work activities<br> iwa_remotelabor_labels.csv<br> The essential score of industries at the NAICS 4d level<br> essential_score_industries_naics_4d_rev.csv<br> </p> <p>Update with respect to the previous version</p> <p>We have now included our code to reproduce our study from scratch.</p>
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World
<p><strong>Extended Version of The Paper:</strong></p> <pre><code class="language-markdown">Towards_Safety_and_Sustainability_Extended.pdf</code></pre> <p><strong>Dataset Information:</strong></p> <p>List of files</p> <pre><code class="language-markdown">Customer_Choice_Survey.csv NYC_Google.csv NYC_Yelp.csv SF_Google.csv SF_Yelp.csv</code></pre> <p>Field Details in Each File</p> <ol> <li><strong>"Customer_Choice_Survey.csv":</strong> Local recommendations received on Google Local (Google Maps) for different customer locations in New York and San Francisco. <pre><code class="language-markdown">Each respondent was first asked some basic details. Then 7 rounds of ranking questions were asked. In each round, they were given a list of 10 restaurants with random combinations of rating, distance and cuisine. They were asked to rank top 5 one-by-one out of those 10 provided. This becomes evident from the question titles provided the file.</code></pre> <p> </p> </li> <li><strong>"NYC_Google.csv" and "SF_Google.csv":</strong> Local recommendations received on Yelp for different customer locations in New York and San Francisco. <pre><code class="language-markdown">"customer_location": location of the customer where she gets recommendation "rank": rank of the restaurant in the recommended list "id": restaurant's id internal to google "latitude": latitude of restaurant's geographic coordinates "longitude": longitude of restaurant's geographic coordinates "name": name of the resturant "price_level": cheap/costly level "rating": average rating of the restaurant "rating_count": number of ratings collected for the restaurant "address": address of the restaurant</code></pre> <p> </p> </li> <li>"NYC_Yelp.csv" and "SF_Yelp.csv" <pre><code class="language-markdown">"customer_location": location of the customer where she gets recommendation "rank": rank of the restaurant in the recommended list "id": restaurant's id internal to yelp "latitude": latitude of restaurant's geographic coordinates "longitude": longitude of restaurant's geographic coordinates "name": name of the resturant "rating": average rating of the restaurant "rating_count": number of ratings collected for the restaurant "address": address of the restaurant "url": link to the restaurant's yelp page</code></pre> <p> </p> </li> </ol> <p>Link to Code Repository:<br> <a href="https://github.com/gourabkumarpatro/pandemic-aware_local_recommendation">Pandemic-Aware Local Recommendation</a></p> <p><strong>Citation Information:</strong><br> Please cite the following paper if you use this dataset.<br> <br> <strong>"<em>Towards Sustainability and Safety: Designing Local Recommendations for Post-pandemic World</em>"</strong><br> Gourab K Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly.<br> In proceedings of Fourteenth ACM Conference on Recommender Systems (RecSys-2020), Virtual Event, Brazil.</p> <p>You can also use the following <strong>bibtex</strong>.</p> <pre><code class="language-markdown">@inproceedings{10.1145/3383313.3412251, author = {Patro, Gourab K and Chakraborty, Abhijnan and Banerjee, Ashmi and Ganguly, Niloy}, title = {Towards Safety and Sustainability: Designing Local Recommendations for Post-Pandemic World}, year = {2020}, isbn = {9781450375832}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3383313.3412251}, doi = {10.1145/3383313.3412251}, booktitle = {Fourteenth ACM Conference on Recommender Systems}, pages = {358–367}, numpages = {10}, keywords = {COVID-19, Local Recommendation, Google Local, Yelp, Safety, Social Distancing, Sustainability, Bipartite Matching}, location = {Virtual Event, Brazil}, series = {RecSys '20} }</code></pre> <p> </p>
Teaching UML Models with FLOSS Projects: A study carried out during the period of social isolation imposed by the COVID-19 pandemic
<p>Software Engineering Education must include professional practice experiences so that students are able to specify, design, implement, maintain and evaluate computer systems, using appropriate theories, practices and tools. However, teaching Software Engineering (SE) principles, concepts and practices and relating them to real-world scenarios are challenging tasks. The adoption of Free/Libre/Open-Source Software (FLOSS) projects can assist in facing these challenges. This paper presents an experience report on the pedagogical use of FLOSS projects in a SE course, in the context of social isolation imposed by the COVID-19 pandemic. The course was fully virtualized, with supporting tools such as Google Classroom, Google Meet, Github, Padlet and Trello, and modeled after an instructional design based on Bloom’s taxonomy of cognitive learning objectives. FLOSS projects were used in the context of software modeling activities with UML class, sequence and activity diagrams. An online survey with twenty-six (26) students and an interview with the instructor were conducted to collect their perceptions about such experience. Results showed that most students (i) agreed that the instructional methods addressed the knowledge, comprehension and application levels in a satisfactory way; (ii) were satisfied in working with real software projects developed by others; and (iii) liked the developed activities and the tools used in the classes. The instructor and students (iv) missed face-to-face activities; and (v) agreed that the instructional design could be used in future face-to-face SE classes.</p>
Attitudes, Stressors and Work Outcomes related to the COVID-19 Pandemic among Dental Assistants in Germany: A cross-sectional Study
<p>This dataset stems from across-sectional study conducted early April 2020 among n=1481 dental assistants from entire Germany during the peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the Association of Medical Professionals on their social media channels. The collected data provides insights into major stressors among dental assistants at the peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study. </p> <p> </p> <p><strong>Dataset information: </strong></p> <p>File type: SPSS file (.sav)</p> <p>Study type: Cross-sectional study</p> <p>Population: Dental assistants in Germany</p> <p>Study period: April 7th-April 14th, 2020</p> <p>Number of participants: 1481</p> <p>Research question: Investigation of attitudes, stressors and work outcomes related to the COVID-19 pandemic among dental assistants in Germany</p> <p>Missing values: None </p> <p>Original variables: v_982, v_1, v_2, v_3, v_5, v_6, v_7, v_10, v_11, v_13, v_14, v_21, v_22, v_23, v_24, v_26, v_27, v_28, v_29, v_31, v_32, v_33, v_40, v_41, v_42, v_43, v_46, v_47, v_48, v_49, v_52, v_57, Beruf_ZFA</p> <p>Modification of variables: All other variables were calculated from the original variables bei either rescaling or dichotomization. </p> <p>Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes"</p> <p>Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good". </p> <p>Rescaling of the variable "Where do you currently work?":<br> Participants who stated "dental practice" as their place of work were labelled as working in a "dental practice". Additionally, all free text answers (v_10 and v_11) were screened and answers "Zahnarztpraxis für Kinder", "Große Zahnarztpraxis" and "Zahnarztpraxis ausschließlich Kinder" were also added to the answer option "dental practice". </p> <p> </p> <p> </p>
Dataset of Policy Responses to COVID-19 pandemic in Vietnam
<p>The dataset including the original documents and the figures and diagrams was collected and analysed in 2020 for the paper "Policy Responses to COVID-19 pandemic in Vietnam" of Tuyet-Anh T. Le, Kelly Vodden, Jianghua Wu and Ghada Atiwesh</p>
Preventive behaviours during the pandemic: the role of collective rituals, emotional synchrony, social norms, and moral obligation
<p>One of the main challenges posed by the COVID-19 pandemic is that it has necessitated a series of behavioural changes designed to stop the spread of the disease. This study focuses on collective processes with a social influence and intra-individual processes, as factors which mould preventive behaviours among Spanish citizens (<em>N</em> = 528). Using an on-line survey, we explored the impact of the ritual of collective applause (carried out daily for over 70 days), the role of perceived social norms in fostering preventive behaviours, and the mediating power of perceived emotional synchrony and a sense of moral obligation, as intra-individual processes. The dependent variables were preventive behaviours carried out in the past and intention to continue engaging in them in the future. </p>
Outdoor activity participation improves adolescents' mental health and well-being during the COVID-19 pandemic
<p>The COVID-19 pandemic is reshaping human interactions with the natural environment, generating profound consequences for health and well-being. To assess the effects of COVID-19 on the outdoor recreation participation and well-being of adolescents we conducted a nationally representative survey of youth ages 10-18 across the United States (n = 624) using a Qualtrics XM panel between April 30 and June 15, 2020. Survey questions focused on frequency of participation in several types of outdoor activities before and during the pandemic. Activity categories included outdoor play activities (e.g., running, biking), nature-based activities (e.g., camping, fishing), and spending outdoor time with family. We assessed changes in the psychological health of youth using a four-item subjective well-being scale validated by the World Health Organization. Paired t-tests revealed significant decreases in both outdoor recreation participation (64% of youth reported declines) and subjective well-being (52% reported declines) during the pandemic. A regression model examining correlates of changes in subjective well-being (<i>R<sup>2</sup></i>=0.42) revealed strong associations between subjective well-being and changes in outdoor play activities (<i>B</i>=0.44, <i>p</i><0.001) and changes in nature-based activities (<i>B</i>=0.21, <i>p</i>=0.016). Youth who continued to participate in these activities during COVID-19 reported significantly smaller drops in subjective well-being, whereas youth whose outdoor participation waned were more negatively impacted by the pandemic. Furthermore, youth who reported high levels of outdoor play activity participation before the pandemic were also less likely to experience post-COVID-19 declines in subjective well-being. These results contribute to our understanding of adolescent psychological reactions to the COVID-19 pandemic, as well as highlighting the critical role that time outdoors and time in nature can play in bolstering youth resilience to environmental stressors.</p>
Comparison of outcomes of neurosurgical operations performed before and during the COVID-19 pandemic: a matched cohort study
<p><strong>Objective</strong><br> To determine how the first wave of the COVID-19 pandemic affected outcomes for all operatively managed neurosurgical patients, not only those positive for SARS-CoV-2.</p> <p><strong>Design</strong><br> Matched cohort (pairwise method).</p> <p><strong>Setting</strong><br> A single tertiary neurosurgical referral centre at a large UK Major Trauma Centre.</p> <p><strong>Participants</strong><br> During the first COVID-19 wave, 231 neurosurgical cases were performed. These cases were matched to cases from 2019. Cases were matched for age (±10 years), primary pathology and surgical procedure. Cases were excluded from analysis if either the age could not be matched to within 10 years, or the primary pathology or procedure was too unique. After exclusions, 191 cases were included in final analysis</p> <p><strong>Outcome measures</strong><br> Primary outcomes were 30-day mortality and postoperative pulmonary complications. Secondary outcomes included Glasgow Outcome Score (GOS) on discharge, length of stay (LoS), operative and anaesthetic times and grade of primary surgeon. An exploratory outcome was the SARS-CoV-2 status of patients.</p> <p><strong>Results</strong><br> There was no significant difference between the pandemic and matched cohorts in 30-day mortality, pulmonary complications, discharge GOS, LoS, operative or anaesthetic times. There was a significant difference in the variation of grade of primary surgeon. Only 2.2% (n=5) of patients had a SARS-CoV-2 positive swab.</p> <p><strong>Conclusion</strong><br> During the first UK wave of the COVID-19 pandemic, the mortality, morbidity and functional outcomes of operatively managed neurosurgical patients at University Hospitals Birmingham were not significantly affected compared with normal practice. The grade of primary surgeon was significantly more senior and adds to the growing body of evidence that demonstrates how the pandemic has negatively impacted UK surgical training. Mixing COVID-19 positive, unknown and negative cases did not significantly impact on outcomes and indicates that further research is required to support the implementation of evidence-based surgical pathways, such as COVID-light sites, throughout the next stage of the pandemic.</p>
Frequency of depressive symptoms in Syrian refugees and Turkish maintenance hemodialysis patients during COVID-19 pandemic
<p><strong>Introduction:</strong> Pneumonia of unknown cause was detected on 30 December 2019 in China. It was categorized as an outbreak and named as COVID-19 by the World Health Organization. The pandemic affects all people, but patient groups such as hemodialysis (HD) patients have been particularly affected. We do not know if refugees suffered more during the outbreak. In this study, we compared depressive symptom frequency between Syrian refugee HD patients and Turkish ones.</p> <p><strong>Methods:</strong> The study had a single-center, cross-sectional design. Demographic and clinical data were collected retrospectively from patients' files containing details about past medical history, demographic variables and laboratory values. Validated Turkish and Arabic forms of Beck Depression Inventory (BDI) were used to assess depressive symptoms. BDI scores were compared according to nationality, demographic features and clinical data. A BDI score more than 14 was accepted as suspicion of depression.</p> <p><strong>Results:</strong> 119 patients were enrolled in the study. After the exclusion of 22 patients, 75 Turkish and 22 Syrian patients were included for further analysis. The median BDI (interquartile range) score for Turkish and Syrian patients were 12 (7-23) and 19.5 (12.7-25.2), respectively (p=0.03). Suspicion of depression was present at 42.7% of Turkish, and 72.7% of Syrian HD patients (p=0.013). Regarding all patients, phosphorus level, Kt/V, and nationality were significantly different between patients with and without suspicion of depression (p=0.023, 0.039, 0.013, respectively).</p> <p><strong>Conclusion:</strong> Syrian patients had higher BDI scores and more depressive symptoms than Turkish patients. Additional national measures for better integration and more mental support to Syrian HD patients are needed. </p>
Safe abortion services during COVID pandemic in Nepal
<div class="Section1"> <p><span><b>Objective: </b></span><span><span>To analyze the pattern of Safe Abortion Services at a tertiary healthcare center during the first six months of the COVID-19 pandemic in Nepal. </span></span></p> </div> <p><b>Study Design</b>: This is a cross-sectional analytical study.We compared the pattern of safe abortion services between the first three months of the pandemic when a lockdown was implemented and the second three months when the lockdown was eased. Demographic and obstetric profile of women, their abortion choices, method of termination, difficulty in accessibility, and level of psychological distress were studied.</p> <p><b>Results</b>: A total of 52 women were provided SAS during the study period. The number of women coming for SAS during lockdown was 47.1% less than that after easing of the lockdown. During the lockdown, women came at a later period of gestation with a mean of 9.5 weeks compared to 7.5 weeks in the later three months. Because of fear of COVID-19, 19.2% (n=10) women opted for termination of pregnancy. Increased need of contraception was felt but 40% (n=12) had problems of accessibility. More women had probable serious mental illness during the lockdown period (p=0.008).</p> <p><b>Conclusion</b>: The lockdown during the pandemic decreased the number of women coming for SAS due to barriers in accessibility. Contraceptive needs are also increased but access is difficult. Medical abortion has been the more sought after method. Psychological distress is prevalent and fear of COVID-19 has become a common reason for termination of pregnancy.</p>
Data from: Ecosystem interactions underlie the spread of avian influenza A viruses with pandemic potential
Despite evidence for avian influenza A virus (AIV) transmission between wild and domestic ecosystems, the roles of bird migration and poultry trade in the spread of viruses remain enigmatic. In this study we integrate ecosystem interactions into a phylogeographic model to assess the contribution of wild and domestic hosts to AIV distribution and persistence. Analysis of globally sampled AIV datasets shows frequent two-way transmission between wild and domestic ecosystems. In general, viral flow from domestic to wild bird populations was restricted to within a geographic region. In contrast, spillover from wild to domestic populations occurred both within and between regions. Wild birds mediated long-distance dispersal at intercontinental scales whereas viral spread among poultry populations was a major driver of regional spread. Viral spread between poultry flocks frequently originated from persistent lineages circulating in regions of intensive poultry production. Our analysis of long-term surveillance data demonstrates that meaningful insights can be inferred from integrating ecosystem into phylogeographic reconstructions that may be consequential for pandemic preparedness and livestock protection.
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.