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9,674 results for “COVID-19”

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zenodo36/100

Prevalence of psychopathological symptoms and their determinants in 4 healthcare workers categories during the second year of COVID-19 pandemic

<p>Dataset including data presented in the paper:&nbsp;<strong>Prevalence of psychopathological symptoms and their determinants in 4 healthcare workers categories during the second year of COVID-19 pandemic</strong></p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Intention d'abandonner ses études chez les étudiants et Covid-19 : une application de la théorie du comportement planifié

<p>Cette base de donn&eacute;es est issue d&rsquo;une enqu&ecirc;te quantitative par questionnaire (nombre d&rsquo;observations = 415, p&eacute;riode : mars 2021). Elle est construite sur la base de la th&eacute;orie du comportement planifi&eacute;. La variable finale que le mod&egrave;le cherche &agrave; expliquer (la variable d&eacute;pendante) est l&rsquo;intention d&rsquo;abandonner ses &eacute;tudes chez les &eacute;tudiants. Elle inclut la mesure des conditions de vie durant la pand&eacute;mie du Covid-19 (17 items).</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Dados da pesquisa denominada "DESAFIOS E NOVAS COMPETÊNCIAS DEMANDADAS NO CONTEXTO EDUCACIONAL DA PANDEMIA DE COVID-19"

<p>Os dados foram coletados por interm&eacute;dio do question&aacute;rio online respondido por 146 professores, elaborado pelo Google Forms, com perguntas abertas e fechadas, encaminhado via e-mail. Aos moldes da Resolu&ccedil;&atilde;o n&ordm; 510 de 2016, foi ofertado aos participantes o Termo de Consentimento Livre Esclarecido (TCLE) e o projeto foi aprovado pelo CEP com CAAE N&nbsp;43947821.8.0000.5188 e N&uacute;mero do Parecer&nbsp;4.740.147.<br> &nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

letter to the New England Journal of Medicine: COVID-19 mortality data perplexity

<p>Una explicaci&oacute;n para todos los p&uacute;blicos:</p> <p>Lo que he hecho es ver los muertos por COVID-19 declarados por los organismos gubernamentales&nbsp; &nbsp;antes y despu&eacute;s de que comience la intervenci&oacute;n farmacol&oacute;gica con los productos que se han dado en llamar vacunas por los medios de comunicaci&oacute;n y los gobiernos. Primero he considerado el periodo completo de 2020 hasta la &quot;vacunaci&oacute;n&quot; y el periodo desde el comienzo de la vacunaci&oacute;n hasta el final de los datos (7 de enero 2022). El comienzo es un poco distinto para cada pa&iacute;s. Reino Unido y USA comenzaron a principios de diciembre 2020 con gran aparato medi&aacute;tico. Otros no empezaron hasta marzo 2021. Para cada pa&iacute;s he calculado el incremento relativo de mortalidad.</p> <p>El resultado es que una gran mayor&iacute;a tiene incremento positivo: m&aacute;s muertos COVID-19 durante la intervenci&oacute;n farmac&eacute;utica que antes (2020). En particular USA tiene un incremento considerable. &nbsp;Un test estad&iacute;stico est&aacute;ndar confirma que la diferencia es significativa, o sea que no podemos afirmar&nbsp;que &quot;no hay diferencia en la mortalidad COVID-19 antes y despu&eacute;s del comienzo de la intervenci&oacute;n farmac&eacute;utica&quot;. Por otro lado podemos decir que&nbsp;hay &quot;razones de sobra&quot; para afirmar que hay m&aacute;s muertos COVID-19 durante la &quot;vacunaci&oacute;n&quot; que antes de que se comenzara a inocular a las personas.</p> <p>La revista ha comprobado los c&aacute;lculos y no dicen en su respuesta que sean incorrectos. Ergo, &nbsp;no han&nbsp;falsificado lo que digo en la letter.&nbsp;</p> <p>En segundo lugar he considerado la pregunta &iquest;hay alg&uacute;n periodo de tiempo en el que la &quot;vacunaci&oacute;n&quot; ha conseguido&nbsp;una disminuci&oacute;n efectiva de la mortalidad COVID-19?</p> <p>Pudiera ser que al principio de la operaci&oacute;n de intervenci&oacute;n farmac&eacute;utica durante unos d&iacute;as se apreciara un efecto importante de la &quot;vacunaci&oacute;n&quot; en forma de descenso de la mortalidad COVID-19,&nbsp;coincidiendo con la afirmaci&oacute;n de las empresas de que los anticuerpos generados son fuertes al principio y se van debilitando, con la recomendaci&oacute;n actual de &quot;reforzar&quot; con una nueva dosis al cabo de tres o cuatro meses. (curiosamente, el discurso oficial es que ahora han disminuido los casos graves gracias a&nbsp;unas inyecciones que se hicieron hace seis meses o m&aacute;s &iquest;no contradice lo anterior?)</p> <p>Para intentar responder a la pregunta, he considerado periodos de tiempo sim&eacute;tricos en torno al comienzo de la &quot;vacunaci&oacute;n&quot; o sea, un d&iacute;a antes y un d&iacute;a despu&eacute;s, dos d&iacute;as antes y despu&eacute;s, y as&iacute; hasta 300 d&iacute;as antes y despu&eacute;s del comienzo de las inyecciones. Al hacer tests estad&iacute;sticos, se encuentra que no hay efecto significativo desde el punto de vista estad&iacute;stico (p-value &lt; 0.01)&nbsp;hasta pasados m&aacute;s de 140 d&iacute;as, y para periodos mayores de 140 d&iacute;as la conclusi&oacute;n es que hay m&aacute;s muertos COVID-19 durante la &quot;vacunaci&oacute;n&quot; que antes (estad&iacute;sticamente significativo con p-value &lt; 0.01). Hasta los 140 d&iacute;as, los resultados son que no se puede descartar que mortalidad COVID-19 antes y despu&eacute;s tienen la misma mediana y que, por tanto, son indistinguibles estad&iacute;sticamente.</p> <p>En palabras llanas, no se nota diferencia hasta m&aacute;s o menos 140 d&iacute;as y despu&eacute;s la conclusi&oacute;n clara es que hay m&aacute;s muertos COVID-19 durante la &quot;vacunaci&oacute;n&quot; que antes (en 2020). Otra vez, la revista no puede decir que los c&aacute;lculos son incorrectos, por lo que simplemente indican que &quot;no es de inter&eacute;s&quot;. No s&eacute; si esta calificaci&oacute;n ser&iacute;a compartida por la poblaci&oacute;n en general. Evidentemente, para los gobernantes estos datos y resultados son bastante &quot;inc&oacute;modos&quot;.</p> <p>La mayor limitaci&oacute;n de este peque&ntilde;o estudio es el conjunto de datos de base. Se puede argumentar sobre su inexactitud. De hecho una de las mayores inexactitudes es la declaraci&oacute;n de comienzo de la &quot;vacunaci&oacute;n&quot;. Muchos pa&iacute;ses estaban vacunando antes de la fecha que aparece en OWID. De hecho, estaban vacunando a personas de riesgo o personal sanitario y auxiliar en sitios como residencias. Ajustando estas fechas, los resultados ser&iacute;an todav&iacute;a m&aacute;s desfavorables para los productos sanitario. Otro ejemplo es China, cuya declaraci&oacute;n de mortalidad es simplemente nula a partir de una fecha. No he intentado correcciones, simplemente he tomado los datos como lo he hecho con todos los dem&aacute;s pa&iacute;ses. Otra de las posibles inexactitudes son las primeras olas en pa&iacute;ses europeos y algunos estados de USA, en las que un estado &nbsp;de panico general y otras causas posibles pudieron influir en una fuerte sobre diagnosis de COVID-19, especialmente en las residencias de ancianos. Tampoco he hecho ning&uacute;n intento de correcci&oacute;n, sino que he tomado los datos tal cual. Habr&aacute; otras limitaciones de las que no soy consciente.</p> <p>El test utilizado es el &quot;Wilkinson rank sum&quot; que no asume una distribuci&oacute;n parametrizada de los datos, por lo que podemos estar bastante seguros de que no estoy introduciendo trucos estad&iacute;sticos.&nbsp;</p> <p><strong>Importante</strong>: no estoy hablando de muertes producidas/declaradas por vacunas, aunque muchos muertos COVID-19 estaban &quot;vacunados&quot; durante 2021. No es hasta fechas recientes que los gobiernos han comenzado a precisar el estado &quot;vacunal&quot; de los muertos COVID-19, fundamentalmente como parte de la campa&ntilde;a de acoso a las personas &quot;no vacunadas&quot;.&nbsp; Parece que las estad&iacute;sticas recientes no son favorables a la estrategia gubernamental, por &nbsp;lo que los datos se van cubriendo de un velo de misterio.</p> <p><strong>En conclusi&oacute;n, la comparaci&oacute;n de la mortalidad COVID-19 antes y despu&eacute;s del comienzo de la &quot;vacunaci&oacute;n&quot; m&aacute;s masiva de la historia de la humanidad (hasta ahora) no permite afirmar que las &quot;vacunas&quot; han disminuido la mortalidad COVID-19 hasta la fecha de los datos recogidos de OWID.</strong></p> <p>&nbsp;</p> <p>***** ******* **********</p> <p>Content:</p> <p>Data downloaded from Our World in Data at January 07, 2022</p> <p>Source code for the analysis and visualization&nbsp;</p> <p>submitted figure&nbsp;</p> <p>submitted letter</p> <p>response from the journal</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Adverse effects of remdesivir, hydroxychloroquine, and lopinavir/ritonavir when used for COVID-19: systematic review and meta-analysis of randomized trials

<p><strong>Background</strong>: To summarize specific adverse effects of remdesivir, hydroxychloroquine, and lopinavir/ritonavir in patients with COVID-19.</p> <p><strong>Methods</strong>: We searched 32 databases through 27 October 2020. We included randomized trials comparing any of the drugs of interest to placebo or standard care, or against each other. We conducted fixed-effects pairwise meta-analysis and assessed the certainty of evidence using the GRADE approach.</p> <p><strong>Results</strong>: We included 16 randomized trials which enrolled 8226 patients. For most interventions and outcomes the certainty of the evidence was very low to low except for gastrointestinal adverse effects from hydroxychloroquine, which was moderate certainty. Compared to standard care or placebo, low certainty evidence suggests that remdesivir may not have an important effect on acute kidney injury or cognitive dysfunction/delirium. Low certainty evidence suggests that hydroxychloroquine may increase the risk of cardiac toxicity (and cognitive dysfunction/delirium, whereas moderate certainty evidence suggests hydroxychloroquine probably increases the risk of diarrhoea (RD 106 more per 1000, 95% CI: 48 more to 175 more) and nausea and/or vomiting (RD 62 more per 1000, 95% CI: 23 more to 110 more) compared to standard care or placebo. Low certainty evidence suggests lopinavir/ritonavir may increase the risk of diarrhoea and nausea and/or vomiting compared to standard care or placebo.</p> <p><strong>Discussion</strong>: Hydroxychloroquine probably increases the risk of diarrhoea and nausea and/or vomiting and may increase the risk of cardiac toxicity and cognitive dysfunction/delirium. Lopinavir/ritonavir may increase the risk of diarrhoea and nausea and/or vomiting. Remdesivir may have no important effect on risk of acute kidney injury or cognitive dysfunction/delirium. These findings provide important information to support the development of evidence-based management strategies for patients with COVID-19.</p> <p><strong>Funding</strong>: This study was supported by the Canadian Institutes of Health Research (grant: VR4-172738)</p> <p><strong>Registration</strong>: Not registered in PROSPERO, protocol available in the supplementary material of BMJ 2020;370:m2980; http://dx.doi.org/10.1136/bmj.m2980.</p>

opencc-zeroJan 2022View details →
zenodo36/100

Triggering and protective factors against stress among healthcare staff during the Covid-19 pandemic. A hospital management study.

<p>Data set to carry out the study &quot;Triggering and protective factors against stress among healthcare staff during the Covid-19 pandemic. A hospital management study&quot;.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Building Interprofessional Learning in the Midst of the COVID-19 Pandemic: Implementation of Online Simulation for Students in Health Profession

<p><strong>Abstract</strong></p> <p>COVID-19 has significantly affected the learning process of health institutions. It is inevitable that face-to-face learning activities will shift to online learning, including Interprofessional Education (IPE). The purpose of this article is to describe our experiences in developing a simulation of a two-day interprofessional learning and teaching session for students in nursing, midwifery, pharmacy, environmental sanitation, medical laboratory technology, dental health, and nutrition. A total of 956 students, 112 lecturers, and 15 standardized patients (SP) took part in this research. The study conducted in 6 schools of health profession in Indonesia. Students were assigned to two simulation models. The data were collected using an online questionnaire with the variables readiness to cooperate, interprofessional group discussions, and facilitator role with a 5-point Likert scale. In the implementation of the two simulation models, significant results have been demonstrated and their uniqueness is revealed. The simulation models that make direct anamnesis of the SP results in a higher level of readiness for IPE learning, and is significantly different. Meanwhile, the simulation model that is preceded by a scenario discussion process before making anamnesis to the SP shows a significantly positive attitude to the interprofessional groups discussion and the role of the facilitator.</p> <p><strong>Keywords:</strong> interprofessional education, COVID-19 pandemic, online simulation, health professionals, standardized patient</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Imunoensaio para diagnóstico da COVID-19 usando espectroscopia de espalhamento Raman amplificado em superfície (SERS)

<p>Os dados inseridos s&atilde;o provenientes da pesquisa de p&oacute;s-doutorado do Dr. Wallance Moreira Pazin (Processo FAPESP 2020/12129-1), que trabalhou na confec&ccedil;&atilde;o de um dispositivo para detec&ccedil;&atilde;o do ant&iacute;geno do v&iacute;rus SARS-CoV-2 utilizando a t&eacute;cnica SERS. Nesse sentido, adicionamos aqui no reposit&oacute;rio os metadados provenientes desta pesquisa, como forma de atender &agrave; exig&ecirc;ncia da FAPESP para o compartilhamento destes, de forma a garantir o maior benef&iacute;cio poss&iacute;vel para o avan&ccedil;o cient&iacute;fico, tecnol&oacute;gico, socioecon&ocirc;mico e cultural.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

The indirect impact of COVID-19 on major clinical outcomes of people with Parkinson's disease or atypical parkinsonism: a cohort study. Raw data

<p>Raw dataset of the study &quot;The indirect impact of COVID-19 epidemic on major clinical outcomes of people with Parkinson&rsquo;s disease (PD) or atypical parkinsonism: a cohort study&quot;</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Dataset for Understanding Unemployment during COVID-19 from Online and Offline Behaviors

<table> <tbody> <tr> <td>variable</td> <td>data</td> <td>source</td> <td>file</td> </tr> <tr> <td><em>Insurance</em></td> <td>Health Insurance Coverage Uninsured, Percent</td> <td>U.S. Census Bureau, 2008 to 2019 American Community Surveys (ACS).</td> <td>Health Insurance Coverage Percent uninsured by State.csv</td> </tr> <tr> <td><em>Income</em></td> <td>household Income</td> <td>United States Census Bureau&rsquo;s Annual ASEC survey 2019</td> <td>Median Household Income by State.csv</td> </tr> <tr> <td><em>Diploma</em></td> <td>Percent of adults with less than a high school diploma plus Percent of adults with a high school diploma only</td> <td>U.S. Census Bureau 2014-18 American Community Survey 4-yr average county-level estimates</td> <td>Education by State.xls</td> </tr> <tr> <td><em>Death, Case</em></td> <td>COVID-19 deaths and cases</td> <td>&nbsp;Centers for Disease Control and Prevention&nbsp;</td> <td>United_States_COVID-19_Cases_and_Deaths_by_State_over_Time.csv</td> </tr> <tr> <td><em>Test</em></td> <td>Test</td> <td>The COVID Tracking Project</td> <td>COVID-19 Tests by State.xlsx</td> </tr> <tr> <td><em>Density</em></td> <td>population density/population</td> <td>US Census Bureau</td> <td>population-density-data-table.xlsx</td> </tr> <tr> <td><em>Nonwhite</em></td> <td>Non-white%</td> <td>US Census Bureau</td> <td>Bridged-Race Population Estimates 2019_by State .xlsx</td> </tr> <tr> <td><em>Gini</em></td> <td>Gini</td> <td>U.S. Census Bureau, American Community Survey .</td> <td>US State Gini.csv</td> </tr> <tr> <td><em>Grant</em></td> <td>total grants</td> <td>U.S. Department of Education</td> <td>U.S. Department of Education appropriations for major programs, by state or jurisdiction Fiscal year 2018.xls</td> </tr> <tr> <td><em>Unemployment</em></td> <td>unemployment rate</td> <td>US Census Bureau</td> <td>Unemployment rate by State.csv</td> </tr> </tbody> </table> <p>&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan

<p>The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> &lt; .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> &lt; .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Corticosteroid therapy in patients with COVID-19 has little effect on the production of specific antibodies

<p>This excel data includes our research, &rdquo;Corticosteroid therapy in patients with COVID-19 has little effect on the production of specific antibodies.&quot;</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Adolescents' mental health and maladaptive behaviors before the Covid-19 pandemic and one-year after: analysis of trajectories over time and associated factors

<p>The database reports data about psychopathological indexes in a sample of adolescent students (N=153) assessed before Covid-19 pandemic (T0, November 2019-January 2020) and one year after (T1, April-May 2021).</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Raw Data for the article: Apneic Tracheostomy in COVID-19 Patients on Veno-Venous Extracorporeal Membrane Oxygenation

<p>COVID-19 creates an impressive burden for intensive care units in terms of need for advanced respiratory care, with a huge number of acute respiratory distress syndromes (ARDS) requiring prolonged mechanical ventilation. In some cases, this proves to be insufficient, with a refractory respiratory failure calling for an extracorporeal approach (veno-venous ECMO). In this scenario, most of these patients need an early tracheostomy procedure to be carried out, which creates the risk of distribution of aerosol particles, possibly leading to personnel infection. The use of apneic tracheostomy has been proposed for COVID-19 patients, but in case of ECMO it may produce lung derecruitment, severe hypoxemia, and sudden worsening of respiratory mechanics. We developed an apneic tracheostomy technique and applied it in over 32 patients supported by veno-venous ECMO. We present data showing the safety and feasibility of this technique in terms of patient care and personnel protection. Gas exchange and pH did not show statistically significant changes after the tracheostomy, nor did respiratory mechanics data or the need for inspiratory pressure and FiO<sub>2</sub>. The use of apneic tracheostomy was a safe option for patient care during ECMO and reduced the possibility of virus spreading.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Burnout and anxiety levels in Human Medicine teachers, COVID-19 context

<p><strong>Introduction: </strong>In the COVID-19 context, university teachers have had to face the most complex educational demands, psychosocial risks, and the anxiety of responding to limitations in terms of connectivity and fulfillment of academic objectives<strong>. Objective:</strong> To identify the levels of burnout and anxiety in the COVID-19 context and determine how these levels are manifested in the participating teachers.&nbsp;<strong>Methodology</strong>: Analytical-type study; non-experimental, cross-sectional design. The population was 150 teachers of the Human Medicine Program of the University of San Mart&iacute;n de Porres, Chiclayo, Peru; sample: 66 teachers. The survey consisted of three sections: 1. Informed consent, 2. Maslach&#39;s Burnout Inventory, 3. Beck&#39;s Anxiety Inventory. Data processing was performed using the SPSS V.27 statistical software. All citations and bibliographical references were processed using Mendeley Desktop 1.19.8.&nbsp;<strong>Results:</strong> in the variable burnout syndrome, 25% of the participants are in the high level downwards; they present anxiety in 30.30% of the total. It was found that 50% of teachers presented mild to moderate anxiety.&nbsp;<strong>Conclusions:</strong> the largest number of teachers surveyed present anxiety due to burnout syndrome in the COVID-19 context. Finally, it is found that there is a correlation between anxiety and the sociodemographic variables sex, age, and marital status.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Data: Survey of Implemented Mitigation Strategies and Further Needs of the United States Food Industry to Control COVID-19 in the Work Environment in Early 2021

<p>Data set related with the COVID-19 needs assessment study</p>

openother-openAug 2021View details →
zenodo36/100

Students' Perception towards e-learning during COVID-19 Pandemic in Indonesia

<p>The study explores university students&#39; perceptions of e-learning in the context of the ongoing COVID-19 epidemic. The study finds that students prefer e-learning because it enables them to connect with their lecturers and fellow students and engage with their study materials at their leisure, and with the freedom to choose their preferred location and time. One of the key reason students choose e-learning is the ease with which they may obtain study resources. The research methods used with a quantitative model, where the sample tested represented the student of 1137 respondents from 43 universities in Indonesia.&nbsp; The study&#39;s findings show the weakness of e-learning is that the majority of respondents responded in turn to interaction with lecturers (52,7%). The study also identified that the majority of respondents have a moderate mastery of technology, 1038 individuals (77.6%), while the remainder has poor knowledge of technology, as many as 52 people (3.9%).&nbsp; According to the study, e-learning technology enables quick access to information, which results in students developing a favorable attitude toward it based on its utility, self-efficacy, the convenience of use, and student behavior related to e-learning. The study verifies the utility of e-learning by demonstrating how it enables students to study from any geographical location, which is not achievable with face-to-face instruction.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Publication times for COVID-19 articles and associated preprints

<p>These are two datasets of COVID-19 peer-reviewed journal and review articles&nbsp;and associated with them medRxiv and bioRxiv preprints. Datasets contain DOI of preprint and its published version, and publication times associated with each step: pre-submission time, review time, production stage time, and the elapsed time. One dataset was collected on 4 May 2021 and it includes a total of 4,031 deduplicated journal article-preprint pairs. Another dataset was collected on 19 October 2020 and it includes 1,099 journal article-preprint pairs. These files are associated with the submission of a manuscript &quot;Publication Practices during the COVID-19 Pandemic: Expedited publishing or simply an early bird effect?&quot; to the journal Learned Publishing in 2022.</p>

opencc-by-4.0Apr 2022View details →
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A protective HLA extended haplotype outweighs the major COVID-19 risk factor inherited from Neanderthals in the Sardinian population

<p>Sardinia has one of the lowest incidences of hospitalization and related mortality in Europe. In this dataset we reported 358 patients with COVID-19, in which we evaluated the frequency of the Neanderthal risk locus variant on chromosome 3 (rs35044562), considered to be a major risk factor for a severe SARS-CoV-2 disease course.</p>

opencc-by-4.0Apr 2022View details →
dryad36/100

Data from: SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals

<p class="MsoNormal"><span>The COVID-19 situation in Brazil is complex due to large differences in the shape and size of regional epidemics. Here we tested monthly blood donation samples for IgG antibodies from March 2020 to March 2021 in eight of Brazil's most populous cities. The inferred attack rate of SARS-CoV-2 adjusted for seroreversion in December 2020, before the Gamma VOC was dominant, ranged from 19.3% (95% CrI 17.5% - 21.2%) in Curitiba to 75.0% (95% CrI 70.8% - 80.3%) in Manaus. Seroprevalence was consistently smaller in women and donors older than 55 years. The age-specific infection fatality rate (IFR) differed between cities and consistently increased with age. The infection hospitalisation rate (IHR) increased significantly during the Gamma-dominated second wave in Manaus, suggesting increased morbidity of the Gamma VOC compared to previous variants circulating in Manaus. The higher disease penetrance associated with the health system's collapse increased the overall IFR by a minimum factor of 2.91 (95% CrI 2.43 – 3.53). These results highlight the utility of blood donor serosurveillance to track epidemic maturity and demonstrate demographic and spatial heterogeneity in SARS-CoV-2 spread.</span></p>

opencc-zeroApr 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record