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Data for Lessons learned during the health crisis caused by COVID-19 in the work of the nursing professional. : A systematic review

Data for Lessons learned during the health crisis caused by COVID-19 in the work of the nursing professional. : A systematic review

opencc-zeroJun 2023View details →

Clinical characteristics, risk factors and complications of COVID-19 among critically ill older adults – A case control study

Background: The older population is often disproportionately and adversely affected during humanitarian emergencies, as has also been seen during the COVID-19 pandemic. Data regarding COVID-19 in older adults is usually over-generalised and does not delve into details of the clinical characteristics in them. This study was conducted to analyse clinical and laboratory characteristics, risk factors, and complications of COVID-19 between older adults who survived and those who did not. Methods: We conducted a case-control study among older adults(age > 60 years) admitted to the Intensive Care Unit(ICU) during the COVID-19 pandemic. The non-survivors (cases) were matched with age and sex-matched survivors (control) in a ratio of 1: 3. The data regarding socio-demographics, clinical characteristics, complications, treatment, laboratory data, and outcomes were analysed. Results: The most common signs and symptoms observed were fever (cases vs controls) (68.92 vs. 68.8%), followed by shortness of breath (62.2% Vs. 52.2%), and cough (47.3% Vs. 60.2%). Our analysis found no association between the presence of any of the comorbidities and mortality. At admission, laboratory markers such as LDH(Lactate Dehydrogenase), WBC(White Blood Count), creatinine, CRP(C-Reactive Protein), D-dimer, ferritin, and IL-6(Interleukin-6) were found to be significantly higher among the cases than among the controls. Complications such as development of seizure, bacteremia, acute renal injury, respiratory failure, and septic shock were seen to have a significant association with non-survivors. Conclusions: Hypoxia, tachycardia, and tachypnoea at presentation were associated with higher mortality. The older adults in this study mostly presented with the typical clinical features of COVID-19 pneumonia. The presence of comorbid illnesses among them did not affect mortality. Higher death was seen among those with higher levels of CRP, LDH, D-dimer, and ferritin; and with lower lymphocyte counts.

Housework Reallocation Between Genders and Generations during China's COVID-19 Lockdowns: Patterns & Reasons

Coding summary of interview participants

opencc-by-nc-4.0May 2023View details →

Lung CT COVID-19 batch 1

This data set is part of the public development data for the <a href="http://auc23.grand-challenge.org/">2023 Automated Universal Classification Challenge</a> (AUC23). The data set concerns COVID-19 RT-PCR outcome prediction and prediction of severe COVID-19, defined as death or intubation after one month, from computed tomography (CT). The data set was previously introduced and described by <a href="https://pubs.rsna.org/doi/full/10.1148/radiol.2021210384">Revel, M. et al (2021)</a>. Data was restructured in compliance with the <a href="https://auc23.grand-challenge.org/">AUC23</a> challenge format. The STOIC project collected CT images of 10,735 individuals suspected of being infected with SARS-COV-2 during the first wave of the pandemic in France, from March to April 2020. For each patient in the training set, the dataset contains binary labels for COVID-19 presence based on RT-PCR test results, and COVID-19 severity, defined as intubation or death within one month from the acquisition of the CT scan. This data set contains the training sample of the STOIC dataset as used in the <a href="https://stoic2021.grand-challenge.org/">STOIC2021</a> challenge. Images are 3D tensors: <ul> <li>0: 3D CT scan</li> </ul> Classification labels: <ul> <li>COVID-19: <ul> <li>0: Negative RT-PCR</li> <li>1: Positive RT-PCR  </li> </ul> </li> <li>Severe COVID-19: <ul> <li>0: Alive and no intubation after one month</li> <li>1: Death or intubation after one month</li> </ul> </li> </ul> imagesTr (root folder with all patients and studies)     ├── covid19severity_6_0000.mha  (3D CT for study 6)     ├── covid19severity_17_0000.mha  (3D CT for study 17)     ├── ... Please cite the following article if you are using the <a href="https://registry.opendata.aws/stoic2021-training/">STOIC2021 training dataset</a>: <pre><code>STOIC2021 Training was accessed on DATE from https://registry.opendata.aws/stoic2021-training. STOIC2021 Training was documented in Thoracic CT in COVID-19: The STOIC Project, Revel, Marie-Pierre, et al. Radiology, 2021, https://doi.org/10.1148/radiol.2021210384.</code></pre> Due to upload size limits, the data set was split into six batches. Batch 2: <a href="https://zenodo.org/record/8042589">https://zenodo.org/record/8042589</a> Batch 3: <a href="https://zenodo.org/record/8042817">https://zenodo.org/record/8042817</a> Batch 4: <a href="https://zenodo.org/record/8043089">https://zenodo.org/record/8043089</a> Batch 5: <a href="https://zenodo.org/record/8043216">https://zenodo.org/record/8043216</a> Batch 6: <a href="https://zenodo.org/record/8043218">https://zenodo.org/record/8043218</a>

The appendix for evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach

Appendix I: The program of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach Appendix II: The sensitivity analysis of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach

Turning to Religion as a Mediator of the Relationship Between Hopelessness and Job Satisfaction During the COVID-19 Pandemic Among Individuals Representing the Uniformed Services or Working in Professions of Public Trust in Poland

Introduction. During the COVID-19 pandemic individuals performing uniformed service or working in a profession of public trust are particularly exposed to chronic stress.  The consequences of stress in turn translate into a decrease in quality of life across various domains, including professional functioning. The perceived mental difficulties can lead to feeling of hopelessness, which in turn can generate a decrease in job satisfaction. Religiosity is a factor which, in stress-inducing conditions, not only stops the spiral of perceived resource losses but also triggers gains in the resources possessed. Aim. In this study, we tested - in the light of Conservation of resources theory (COR) - whether during the COVID-19 pandemic, the preference for positive religious coping strategies (turning to religion) by people declaring religiosity is a mediator for the relationship between perceived hopelessness and job satisfaction. Methods. The study covered 238 individuals representing the uniformed services or working in professions of public trust in Poland. The Inventory for Measuring Coping with Stress (MINI-COPE) and The Beck Hopelessness Scale (BHS) and were employed in the research. Results. The mediating role of turning to religion in relationship between perceived hopelessness and job satisfaction was confirmed only in the group of women. The relationship found in this group indicates that perceived hopelessness is alleviated by turning to religion, which at the same time leads to an increase in job satisfaction. Conclusion. The obtained results prove that it should be standard practice to offer specialist help after potentially traumatic events in the workplace not only in the form of emotional and/or instrumental support but also in the form of spiritual help.

Searches for ED and COVID-19 from Google Trends

Searches for ED and COVID-19 from Google Trends (provided by Google as Relative Search Volumes (RSVs): they are normalized with a minimum value of 0 and a maximum value of 100) and weekly COVID-19 cases from WHO (in absolute numbers) in the four time periods. Please note that in the first time period Google provides search data RSVs monthly, while in the other three periods this is done weekly. Time Period 1: January 1, 2004 to December 31, 2016, Time Period 2: January 1, 2017 to December 31, 2019, Time Period 3: January 1, 2020 to December 31, 2021, Time Period 4: January 1, 2022 to December 31, 2022.

opencc-by-4.0Apr 2022View details →

Methylene Blue Sentinel Lymph Node Biopsy for Breast Cancer Learning Curve in Covid-19 era: How many cases are enough?

Methylene Blue Sentinel Lymph Node Biopsy for Breast Cancer Learning Curve in Covid-19 era: How many cases are enough?

opencc-by-3.0-usJun 2023View details →

Distance learning and face-to-face learning in medical PBL course during COVID-19 pandemic: an investigation and teaching experience

Our research provides an experience for the PBL class focusing on discussion and communication. In the post-pandemic era, whether face-to-face or distance learning, classes should be adjusted properly to let students conduct effective communication in time.

opencc-by-4.0Nov 2022View details →

MeCareNWL - baseline data concerning the psychosocial and occupational impact of COVID-19 among NHS and social care staff in NW London

Online survey data collected at baseline for participants enrolled in the MeCareNWL study - see <a href="https://arc-nwl.nihr.ac.uk/research/covid-19/london-wide-covid-19-research/mecarenwl">MeCareNWL (nihr.ac.uk)</a>. Data extracted from the Qualtrics database on 13 July 2021.  Some additional post-processing to satisfy anonymisation requirements. A pdf copy of the survey and the completed STROBE reporting checklist are also included.

Supplementary Material: Festivals following the easing of COVID-19 restrictions: Prevalence of new psychoactive substances and illicit drugs

Supplementary Material

Data for "Mental health problems of entrepreneurs during the COVID-19 health crisis: Fear, anxiety, and stress"

Data for "Mental health problems of entrepreneurs during the COVID-19 health crisis: Fear, anxiety, and stress"

Competencias transversales en estudiantes de odontología en tiempos de la pandemia covid-19

Se adjunta la base de datos del estudio de competencias transversales en estudiantes de la Facultad de Ooontología de la Universidad Nacional Mayor de San Marcos recolectada en el año 2022 - Lima Perú

Which crisis support fiscal measures worked during the COVID-19 shock in Europe?

This package replicates the empirical analysis of the paper “Which crisis support fiscal measures worked during the COVID-19 shock in Europe?” by Pappa, Ramos, and Vella. Two files are available: i) the file data.csv contains the data, and ii) the file replication_file.do contains the stata routine.

The Dangers of Using Cq to Quantify Nucleic Acid in Biological Samples: A Lesson From COVID-19 - supplementary data

Dataset in relation to  Evans, Daniel, Cowen, Simon, Kammel, Martin, O'Sullivan, Denise M, Stewart, Graham, Grunert, Hans-Peter, Moran-Gilad, Jacob, Verwilt, Jasper, In, Jiwon, Vandesompele, Jo, Harris, Kathryn, Hong, Ki Ho, Storey, Nathaniel, Hingley-Wilson, Suzie, Dühring, Ulf, Bae, Young-Kyung, Foy, Carole A, Braybrook, Julian, Zeichhardt, Heinz, & Huggett, Jim F. (2021). The Dangers of Using Cq to Quantify Nucleic Acid in Biological Samples: A Lesson From COVID-19. Clinical Chemistry, 68(1), 153–162. https://doi.org/10.1093/clinchem/hvab219

opencc-zeroJul 2023View details →

Data from: Analysis of altered level of blood-based biomarkers in the prognosis of COVID-19 patients

Introduction: Immune and inflammatory responses developed by the patients with Coronavirus Disease 2019 (COVID-19) during rapid disease progression result in an altered level of biomarkers. Therefore, this study aimed to analyze levels of blood-based biomarkers that are significantly altered in patients with COVID–19. Methods: A cross-sectional study was conducted among COVID-19 diagnosed patients admitted to the tertiary care hospital. Several biomarkers – biochemical, hematological, inflammatory, cardiac, and coagulatory – were analyzed and subsequently tested for statistical significance at P<0.01 by using SPSS version 17.0. Results: A total of 1,780 samples were analyzed from 1,232 COVID-19 patients (median age 45 years [IQR 33-57]; 788 [63.96%] male). The COVID-19 patients had significantly (99% CI, p<0.001) elevated glucose, urea (p=0.001), alanine transaminase (ALT), aspartate aminotransaminase (AST), alkaline phosphatase (ALP), lactate dehydrogenase (LDH) levels, total white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), ferritin, D-Dimer, and creatinine phosphokinase-MB (CPK-MB, p=0.004) as compared to control group. However, the levels of total protein, albumin, and platelets were significantly lowered in COVID-19 patients as compared to control group. The elevated levels of glucose, urea, direct bilirubin, WBC, CRP, prothrombin time (PT), D-Dimer, and LDH were significantly associated with in-hospital mortality among COVID-19 patients. Conclusions: Assessing and monitoring the elevated levels of glucose, urea, ALT, AST, ALP, ferritin, DB, WBC, CRP, PCT, LDH, D-Dimer, PT, and CPK-MB and the lowered levels of total protein, albumin, and platelet could provide a basis for evaluation of improved prognosis and effective treatment in patients with COVID-19.

opencc-zeroAug 2023View details →

Data from: Public opinion in Japanese newspaper readers' posts under the prolonged COVID-19 infection spread 2019-2021: Contents analysis using Latent Dirichlet Allocation

These data are based on free description from readers' posts on Japanese hardcopy newspaper articles in the public domain. Upon searching for "coronavirus," we found 412 reader submissions during the April 7, 2020 to May 25, 2020, 521 during January 8, 2021 to March 21, 2021, 458 during the April 25, 2021 to June 6, 2021, and 519 during July 12, 2021 to September 30, 2021. Topics of content were extracted by Latent Dirichlet Allocation, and then calculating the ratio of topic occurrence in each description.

opencc-by-4.0Aug 2023View details →

Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients

This dataset contains the processed scRNA-seq data and code used to investigate the association between lung cancers and COVID-19. Please refer to the article 'Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients' for the detailed data and method description. covid_cancer.rds: the processed scRNA-seq data saved as a Seurat object. notebooks.zip: Jupyter notebooks containing code for data analysis.

opencc-zeroAug 2023View details →

A review of HPV and HBV vaccine hesitancy, intention and uptake in the era of social media and COVID-19

Prior to the COVID-19 pandemic, the World Health Organization named vaccine hesitancy as one of the top 10 threats to global health. The impact of hesitancy on uptake of human papillomavirus (HPV) vaccines was of particular concern, given the markedly lower uptake compared to other adolescent vaccines in some countries, notably the United States. With the recent approval of COVID-19 vaccines coupled with the widespread use of social media, concerns regarding vaccine hesitancy have grown. However, the association between COVID-related vaccine hesitancy and cancer vaccines such as HPV is unclear. To examine the potential association, we performed two reviews using Ovid Medline and APA PsychInfo. Our aim was to answer two questions: (1) Is COVID-19 vaccine hesitancy, intention, or uptake associated with HPV or HBV vaccine hesitancy, intention, or uptake? and (2) Is exposure to COVID-19 vaccine misinformation on social media associated with HPV or HBV vaccine hesitancy, intention, or uptake? Our review identified few published empirical studies that addressed these questions. Our results highlight the urgent need for studies that can shift through the vast quantities of social media data to better understand the link between COVID-19 vaccine misinformation and disinformation and its impact on uptake of cancer vaccines.