Find research datasets worth reusing

opencc-byOct 2021View details →

Covid 19 Dataset, Cases by Country, Vaccination, GDP and Average Temperature

Dataset del covid-19 obtenido mediante técnicas de web Scrapping

opencc-by-4.0Feb 2022View details →

Mental health and alcohol use among patients attending a post-COVID-19 follow-up clinic: A cohort study.

Study dataset Abstract Background: Ongoing mental health problems following COVID-19 infection warrant greater examination. This study aimed to investigate psychiatric symptoms and problematic alcohol use among Long COVID patients. Methods: The study was conducted at the Mater Misericordiae University Hospital’s post-COVID-19 follow-up clinic in Dublin, Ireland. A prospective cohort study design was used encompassing assessment of patients’ outcomes at 2-4 months following an initial clinic visit (Time 1), and 7–14-month follow-up (Time 2). Outcomes regarding participants’ demographics, acute COVID-19 healthcare use, mental health, and alcohol use were examined. Results: The baseline sample’s (n = 153) median age = 43.5yrs (females = 105 (68.6%)). Sixty-seven of 153 patients (43.8%) were admitted to hospital with COVID-19, 9/67 (13.4%) were admitted to ICU, and 17/67 (25.4%) were readmitted to hospital following an initial COVID-19 stay. Sixteen of 67 (23.9%) visited a GP within seven days of hospital discharge, and 26/67 (38.8%) did so within 30 days. Seventeen of 153 participants (11.1%) had a pre-existing affective disorder. The prevalence of clinical range depression, anxiety, and PTSD scores at Time 1 and Time 2 (n = 93) ranged from 12.9% (Time 1 anxiety) to 22.6% (Time 1 PTSD). No statistically significant differences were observed between Time 1 and Time 2 depression, anxiety, and PTSD scores. Problematic alcohol use was common at Time 1 (45.5%) and significantly more so at Time 2 (71.8%). Clinical range depression, anxiety, and PTSD scores were significantly more frequent among acute COVID-19 hospital admission and GP attendance (30 days) participants, as well as among participants with lengthy ICU stays, and those with a previous affective disorder diagnosis. Conclusions: Ongoing psychiatric symptoms and problematic alcohol use in Long COVID populations are a concern and these issues may be more common among individuals with severe acute COVID-19 infection and /or pre-existing mental illness.

opencc-by-4.0May 2022View details →

Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households (ENCOVID- 19 CDMX – DECEMBER 2020)

Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID19-related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the second dataset of the project, corresponding to December 2020, collected eight months after the lockdown began in Mexico. Data collection was performed from November 29 to December 10, 2020.

opencc-by-4.0Jul 2024View details →

Supplementary Materials for Respiratory Syncytial Virus Genetic Diversity and Lineage Changes in Ireland pre- and post-COVID-19 pandemic

The datasets presented here are the list of publicly available reference sequences used in NextClade (<a href="https://github.com/rsv-lineages">https://github.com/rsv-lineages</a>) to provide the lineage classification of samples and used as reference for analysis of Irish RSV sequences (Supplementary Table 1), the list of sequenced Human respiratory syncytial viruses (RSV) in the Republic of Ireland during the period 2015-2024 (Supplementary Table 2) and the details of sequences downloaded from GISAID corresponding to European RSV sequences for the same period of time.   Description of the data and file structure The files in this dataset were formatted in Microsoft Excel 2019 to allow easy access and manipulation of the data. The data corresponds to details on the sequences used in the analysis of RSV in Europe during the 2015-2024 period. The contents of the files are described below: -Supplementary Table 1: NextClade Reference Sequences publicly available at <a href="https://github.com/rsv-lineages">https://github.com/rsv-lineages</a>. -Supplementary Table 2: Irish RSV Sequence Details contains details on the sequences generated in our study with the GenBank accession number, the GISAID accession number, reported collection RSV season, Nextclade assigned taxonomical clade. -Supplementary Table 3: European RSV Sequence Details contains a list of European RSV sequences downloaded from GISAID (<a href="https://gisaid.org/">https://gisaid.org/</a>) with details on the sampling RSV season, the accession number, country of collection, and lineage assigned by NextClade.   Sharing/Access information The databases used to extract and deposit the data were: -GenBank: the North American repository of sequences and publicly available at: <a href="https://www.ncbi.nlm.nih.gov/genbank/">https://www.ncbi.nlm.nih.gov/genbank/</a>  -GISAID:International consortium of sequences with some metadata and clinical data. It is a semi-public repository with easy access requiring only to create an account. Available at: <a href="https://gisaid.org/">https://gisaid.org/</a> -Github: reference sequences of RSV are available at the repository <a href="https://github.com/">https://github.com/</a>

opencc-by-4.0Feb 2023View details →

Figure 1 in Diversity rhythm in pontellid copepods (Pontellidae: Copepoda) from the Covelong coast pre- and post-COVID-19 lockdown, Bay of Bengal

Figure 1. Site of collection—Covelong beach, Chennai.

opencc-by-4.0Sep 2024View details →

Weibo-Covid-19

Weibo is a popular Chinese-language messaging platform. The dataset contains all messages that included one of the following terms in Chinese: “vaccine,” “vaccination,” “adenovirus vector,” “inactivation,” “clinical trail, ” “Phase III trail,” “immune,” “antibody,” “mutant virus,” “herd immunity,” “novel coronavirus,” “corona virus,” “Covid,” “novel corona pneumonia,” “Wuhan’s unknown pneumonia,” “pneumonia of unknown cause,” “nucleic acid testing,” “Wuhan pneumonia,” “human-to-human transmission,” and the following in English: “COVID-19,” “COVID,” “COVID19,” “SARS,” “SARS-2,” “SARS-CoV-2,” “nCoV,” “2019-nCoV.” The time interval was from 00:00:00 29 April 2021 to 04:00:00 18 May 2021. It captures the activity of 1,052,896 users, who have 3,841,030 following relationship edges among them. To protect the privacy of social media users, only the essential variables necessary for constructing post, comment, repost, and follower relationships were retained, while other variables that could potentially compromise user privacy have been removed from the new dataset. <div>*all id's are in the form of Universally Unique Identifier (UUID)</div> <div> </div> <div>File name --- description:</div> <div> </div> <div>* tweet_spider_by_tweet_id_uuid.json --- json list data file of the orignial post:</div> <div> </div> <div>weibo_id_uuid: weibo post id, user_uuid: post author user id, creat_at_h: Weibo post publish time rounded down to hourly level</div> <div> * comment.json --- Comment metadata of a Weibo post: user_uuid: commenter user id  ori_weibo_id_uuid: original post weibo id  creat_at_h: Weibo post publish time rounded down to hourly level  * repost.jsonl   --- Repost metadata of a Weibo post. Repost is a special type of Weibo post, with repost relation between original post and repost. The data structure of repost is the same as post. </div> <div> user_uuid: repost author user id ori_weibo_id_uuid: original post weibo id creat_at_h: Weibo post publish time rounded down to hourly level </div> <div> </div> <div>* follower.jsonl   --- json list data file of the follower profiles of users. This dataset describes the following relationship, in which fan refers to the user who follower others, and follower refers to the targer user who receive other user's following: fan -> follower fan_id_uuid: fan user's id follower_id_uuid: follower user's id </div>

opencc-by-4.0Aug 2021View details →

Factors related to depression in older adults during the COVID 19 pandemic in two coastal regions of Peru: An analytical cross-sectional study

: To determine the factors associated with depression in older adults in two coastal regions of Peru during the COVID 19 pandemic

opencc-by-4.0Feb 2023View details →

Raw Data for the article: COVID-19 safety measures at the Radiology Unit of a Transplant Institute: the non-COVID-19 patient's confidence with safety procedures

Purpose: To support the wellbeing of both patients and their families, our aim was to investigate the satisfaction of non-COVID in- and out-patients regarding safety measures implemented at our radiology unit of a transplant institute against COVID infection. Materials and methods: Over a five-month period, adult patients' feedback was obtained by a questionnaire on the fear of contracting COVID-19 during a radiology examination, the perceived delay in treatment, and the following safety measures implemented: modified schedules to limit the number of patients in the waiting area and to maximize social distancing; assistance by staff when visitors were not admitted; cleaning and disinfection of machines; mask wearing and hand hygiene of staff; and staff advice on hand hygiene and infection control precautions. Results: Over a five-month period, our preliminary results (387 patients) showed general patient satisfaction (99.1%) with safety measures applied at our radiology unit. Patients were satisfied with distancing and assistance by staff (100%), cleaning and disinfection (91%), mask wearing and hand hygiene of the staff (97%), and staff advice (94%). There was some criticism of the perceived delay in treatment (7.3%) and in the scheduling of the waiting list (5.4%), with 5.4% fearing contracting the virus. Patients' awareness of safety measures and confidence in the hospital preparedness policy was perceived by all interviewers, and 100% appreciated being questioned. Conclusion: The feedback given by the non-COVID patient helps to measure the quality in health care, to improve the quality service, and to protect and satisfy more vulnerable patients, also during the COVID-19 pandemic.

Vortioxetine for Post-COVID-19 Condition

ClinicalTrials.gov study NCT05047952. IPD Sharing: NO. Countries: 1. Publications: 26.

Cognitive Rehabilitation in Post-COVID-19 Syndrome

ClinicalTrials.gov study NCT06136871. IPD Sharing: NO. Countries: 1. Publications: 5.

Efficacy of Gabapentin for Post-Covid-19 Olfactory Dysfunction

ClinicalTrials.gov study NCT05184192. IPD Sharing: NO. Countries: 1. Publications: 16.

Ivermectin, Aspirin, Dexamethasone and Enoxaparin as Treatment of Covid 19

ClinicalTrials.gov study NCT04425863. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

A Study to Evaluate the Efficacy, Safety and Tolerability of IMU-838 as Addition to Investigator's Choice of Standard of Care Therapy, in Patients With Coronavirus Disease 19 (COVID-19)

ClinicalTrials.gov study NCT04379271. IPD Sharing: Not stated. Countries: 2. Publications: 1.

Convalescent Plasma in the Treatment of COVID 19

ClinicalTrials.gov study NCT04343261. IPD Sharing: NO. Countries: 1. Publications: 6.

Electrical Stimulation for Critically Ill Post-Covid-19 Patients

ClinicalTrials.gov study NCT05198466. IPD Sharing: Not stated. Countries: 1. Publications: 1.

BCG Vaccine for Health Care Workers as Defense Against COVID 19

ClinicalTrials.gov study NCT04348370. IPD Sharing: NO. Countries: 1. Publications: 21.

USEFULNESS of Topic Ivermectin and Carrageenan to Prevent Contagion of Covid 19

ClinicalTrials.gov study NCT04425850. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.