611 10 20655 http://socictopen.socict.org/files/original/3c04a4e82660d0f0c825eb6ab387dd7e.pdf cd1d8aa5625e012b64bdfe3b1a09b8e6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Potential Usefulness of the COVID-19 Ag Respi-Strip Diagnostic Assay in a Pandemic Context Creator An entity primarily responsible for making the resource Francis Corazza, Ali Mirazimi, Katrien Lagrou, Marc Van Ranst, Pierrette Melin, Francois Bry, Vanessa Monteil, Béatrice Gulbis, Olivier Vandenberg, Lize Cuypers, Pascal Mertens, Delphine Martiny, Nathalie Devos, Sigi Van den Wijngaert, Gabriela Serrano, Magali Wautier, Christian Jassoy, Frédéric Cotton, Karolien Stoffels, Thierry Leclipteux, Bhavna Mahadeb, Nicolas Yin, Davide Mileto, Sabrina Delaunoy, Henri Magein, Justine Bouzet, LHUB-ULB SARS-CoV-2 Working Diagnostic Group, Françoise Brancart, Brigitte Cantinieaux, Maud Dresselhuis, Olivier Roels, Jacques Vanderlinden Description An account of the resource Introduction: COVID-19 Ag Respi-Strip, an immunochromatographic (ICT) assay for the rapid detection of SARS-CoV-2 antigen on nasopharyngeal specimen, has been developed to identify positive COVID-19 patients allowing prompt clinical and quarantine decisions. In this original research article, we describe the conception, the analytical and clinical performances as well as the risk management of implementing the COVID-19 Ag Respi-Strip in a diagnostic decision algorithm.Materials and Methods: Development of the COVID-19 Ag Respi-Strip resulted in a ready-to-use ICT assay based on a membrane technology with colloidal gold nanoparticles using monoclonal antibodies directed against the SARS-CoV and SARS-CoV-2 highly conserved nucleoprotein antigen. Four hundred observations were recorded for the analytical performance study and thirty tests were analyzed for the cross-reactivity study. The clinical performance study was performed in a retrospective multi-centric evaluation on aliquots of 328 nasopharyngeal samples. COVID-19 Ag Respi-Strip results were compared with qRT-PCR as golden standard for COVID-19 diagnostics.Results: In the analytical performance study, the reproducibility showed a between-observer disagreement of 1.7%, a robustness of 98%, an overall satisfying user friendliness and no cross-reactivity with other virus-infected nasopharyngeal samples. In the clinical performance study performed in three different clinical laboratories during the ascendant phase of the epidemiological curve, we found an overall sensitivity and specificity of 57.6 and 99.5%, respectively with an accuracy of 82.6%. The cut-off of the ICT was found at CT &lt;22. User-friendliness analysis and risk management assessment through Ishikawa diagram demonstrate that COVID-19 Ag Respi-Strip may be implemented in clinical laboratories according to biosafety recommendations.Conclusion: The COVID-19 Ag Respi-Strip represents a promising rapid SARS-CoV-2 antigen assay for the first-line diagnosis of COVID-19 in 15 min at the peak of the pandemic. Its role in the proposed diagnostic algorithm is complementary to the currently-used molecular techniques. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Diagnostic, antigen, Immunochromatographic test, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmed.2020.00225 Source A related resource from which the described resource is derived Frontiers in Medicine Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General) http://socictopen.socict.org/files/original/ab6f720b27fb3f76a53c702749528586.pdf 6f745933f6cfdfc0f8e9861103739431 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Utilization of a Medical Student Surgery Podcast During COVID-19. Creator An entity primarily responsible for making the resource Roi Anteby, Imri Amiel, Mordehay Cordoba, Carl Gustaf S Axelsson, Danny Rosin, Roy Phitayakorn Description An account of the resource The 2019 coronavirus disease (COVID-19) pandemic drastically reduced learning opportunities for medical students. We sought to determine the cost and success of implementation of a podcast for a surgical department in a large academic hospital. We created a podcast series for Israeli medical students during the COVID-19 epidemic based on the Medical Student Core Curriculum of the American College of Surgeons / Association for Surgical Education. Episodes were available for free download or streaming on a designated website and popular podcast platforms. Podcast analytics were used to measure public listeners and uptake. Total development time was 90 hours at an estimated cost of $7091 USD. A total of 10 episodes were released between March 21, 2020 and August 31, 2020. An average of 9 ± 1.26 h (range 2-6) was required to generate each episode, including 3.4 ± 1.26 h (2-6) for content review and 5.6 ± 2 h (4-10) for audio production. An average episode ran for 35.9 ± 4.3 min (28-42). Podcasts recorded a total of 5678 downloads, with an average of 228 and 336 downloads per episode in the first 30 and 90 days, respectively. The average daily downloads before the students returned to clinical rotations (March 21-April 30) was 48 ± 58.3 (7-283;) compared to 16 ± 7.4 after their return (1-38; P< 0.01). Estimated costs to produce a video-based education series would have been significantly more. Podcasts can serve as a cost-effective and quickly produced instructional tool to supplement online learning. Further research is required to determine the efficacy of podcasts versus video-based education modules. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, medical students, education, cost analysis, Podcast Identifier An unambiguous reference to the resource within a given context 10.1016/j.jss.2021.03.059 Source A related resource from which the described resource is derived The Journal of surgical research http://socictopen.socict.org/files/original/37f8a57594d57dc05b315d2099cdd1ef.pdf c7660284e2eaf92fa759336f9453bbcb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource DEVELOPMENT AND VALIDATION IN A GROUP OF INDUSTRY WORKERS, OF AN APPLICATION FOR AUDIOMETRIC SCREENING: A SOLUTION FOR SOCIAL DISTANCE DURING COVID-19 EMERGENCY Creator An entity primarily responsible for making the resource Emanuele Cannizzaro Description An account of the resource In the context of the global COVID-19 pandemic, companies and institutions all over the world are trying to find the best ways to reorganize their activity, minimizing the contagion risk among their employees, so as to protect their health and prevent internal SARS-COV-2 outbreaks. The recent development of new communication technologies, such as smartphones and tablets, has paved the way for the development and implementation of different applications. Starting with the above issues, in this study, we wanted to investigate the efficacy of iAudiometry application developed by our research team for the detection of deficits in the auditory system. Furthermore, we analyzed the precision in detecting ambient Sound Pressure Levels between 3 different types of headphones. To this aim we divided the study and development process into four main phases: the feasibility study; the development of a signal generation algorithm, calibration and evaluation of the ambient Sound Pressure Level (SPL) on different types of headphones, and; a comparative study between conventional audiometry and an app with related headphones. Finally, this study allowed us to differentiate the headphones tested into 3 different types: headphones suitable for professional screening; Bluetooth headphones suitable for professional screening, and; headphones with slight but statistically significant differences, not suitable for professional screening. Our App is able to easily reproduce a reliable audiometric screening, limiting the contact between patient and examiner. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Prevention, covid-19, SARS-CoV-2, APP, Occupational medicine, communication technologies, sound pressure level, Audiometry, headphones, tables Identifier An unambiguous reference to the resource within a given context 10.3269/1970-5492.2020.15.42 Source A related resource from which the described resource is derived Euromediterranean Biomedical Journal Publisher An entity responsible for making the resource available Associazione Italiana Giovani Medici Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General) http://socictopen.socict.org/files/original/a1c7fdf4e78ef583050f58bc152ead68.pdf a8d027767d006b6be401ef864e8caa5d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. Creator An entity primarily responsible for making the resource Joseph T King, James S Yoon, Christopher T Rentsch, Janet P Tate, Lesley S Park, Farah Kidwai-Khan, Melissa Skanderson, Ronald G Hauser, Daniel A Jacobson, Joseph Erdos, Kelly Cho, Rachel Ramoni, David R Gagnon, Amy C Justice Description An account of the resource BackgroundAvailable COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples.Methods and findingsWe reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.ConclusionPrior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1371/journal.pone.0241825 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine http://socictopen.socict.org/files/original/f3a272d2c9de617b8e4ddc7704f9dfd5.pdf 73d93094351b8e941ba8b2f9234d8625 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and validation of a flax (<it>Linum usitatissimum </it>L.) gene expression oligo microarray Creator An entity primarily responsible for making the resource Gutierrez Laurent, Neutelings Godfrey, Cariou Emmanuelle, Lucau Anca, van Wuytswinkel Olivier, Wilmer Jeroen, Rivière Nathalie, Duarte Jorge, Ndong Yves-Placide, Fenart Stéphane, Chabbert Brigitte, Guillot Xavier, Tavernier Reynald, Hawkins Simon, Thomasset Brigitte Description An account of the resource Abstract Background Flax (Linum usitatissimum L.) has been cultivated for around 9,000 years and is therefore one of the oldest cultivated species. Today, flax is still grown for its oil (oil-flax or linseed cultivars) and its cellulose-rich fibres (fibre-flax cultivars) used for high-value linen garments and composite materials. Despite the wide industrial use of flax-derived products, and our actual understanding of the regulation of both wood fibre production and oil biosynthesis more information must be acquired in both domains. Recent advances in genomics are now providing opportunities to improve our fundamental knowledge of these complex processes. In this paper we report the development and validation of a high-density oligo microarray platform dedicated to gene expression analyses in flax. Results Nine different RNA samples obtained from flax inner- and outer-stems, seeds, leaves and roots were used to generate a collection of 1,066,481 ESTs by massive parallel pyrosequencing. Sequences were assembled into 59,626 unigenes and 48,021 sequences were selected for oligo design and high-density microarray (Nimblegen 385K) fabrication with eight, non-overlapping 25-mers oligos per unigene. 18 independent experiments were used to evaluate the hybridization quality, precision, specificity and accuracy and all results confirmed the high technical quality of our microarray platform. Cross-validation of microarray data was carried out using quantitative qRT-PCR. Nine target genes were selected on the basis of microarray results and reflected the whole range of fold change (both up-regulated and down-regulated genes in different samples). A statistically significant positive correlation was obtained comparing expression levels for each target gene across all biological replicates both in qRT-PCR and microarray results. Further experiments illustrated the capacity of our arrays to detect differential gene expression in a variety of flax tissues as well as between two contrasted flax varieties. Conclusion All results suggest that our high-density flax oligo-microarray platform can be used as a very sensitive tool for analyzing gene expression in a large variety of tissues as well as in different cultivars. Moreover, this highly reliable platform can also be used for the quantification of mRNA transcriptional profiling in different flax tissues. Date A point or period of time associated with an event in the lifecycle of the resource 2010 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2164-11-592 Source A related resource from which the described resource is derived BMC Genomics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics, Biotechnology Language A language of the resource EN http://socictopen.socict.org/files/original/298133be73601981395632ed136d3130.pdf 5d97b082cf11918b70554c3de1f5563e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and validation of a questionnaire for assessing preventive practices and barriers among health care workers in COVID-19 pandemic. Creator An entity primarily responsible for making the resource Ayush Agarwal, Piyush Ranjan, Yellamraju Saikaustubh, Priyanka Rohilla, Archana Kumari, Indrashekhar Prasad, Upendra Baitha, Sada Nand Dwivedi Description An account of the resource COVID-19 has affected thousands of health care workers worldwide. Suboptimal infection control practices have been identified as important risk factors. The objective of this study was to develop and validate a questionnaire to holistically assess the preventive practices of health care workers related to COVID-19 and identify the reasons for shortcomings therein. The development of the questionnaire involved item generation through literature review, focus group discussions and in-depth interviews with health care workers and experts, followed by validation through expert opinion, pilot testing and survey. A cross-sectional survey on 147 healthcare workers was done using an online platform and/or interviews in August 2020 in New Delhi, India. Exploratory factor analysis using principal component extraction with varimax rotation was performed to establish construct validity. Internal consistency of the tool was tested using Cronbach's alpha coefficient. The developed questionnaire consists of two sections: Section A contains 29 items rated on a five-point Likert scale to assess preventive practices and Section B contains 27 semi-structured items to assess reasons for suboptimal practices. The first section has good validity (CVR = 0.87, S-CVI/Av = 0.978) and internal consistency (Cronbach's alpha coefficient = 0.85) CONCLUSIONS: This questionnaire is a valid and reliable tool for holistic assessment of preventive practices and barriers to it among health care workers. It will be useful to identify vulnerable practices and sections in health care settings which would assist policymakers in designing appropriate interventions for infection prevention and control. This will also be useful in future pandemics of similar nature. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Health Personnel, Surveys and questionnaires, Coronavirus infections / prevention & control, Health knowledge, attitudes, practice∗, Pandemics / prevention & control Identifier An unambiguous reference to the resource within a given context 10.1016/j.ijmmb.2021.03.006 Source A related resource from which the described resource is derived Indian journal of medical microbiology http://socictopen.socict.org/files/original/3f8b8f405031ca3b77c3c9b1a878e01e.pdf 26078370847c899995f3963a77605a48 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Validation of a Rapid, Single-Step Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP) System Potentially to Be Used for Reliable and High-Throughput Screening of COVID-19 Creator An entity primarily responsible for making the resource Jian Yu, Cornelia Lass-Flörl, Hua Fang, Xiaojing Li, Wenjie Fang, Weihua Pan, Wanqing Liao, Hao Pei, Li Yan-Ling, Minghua Jiang, Farnaz Daneshnia, Amir Arasthfer Description An account of the resource Objectives: Development and validation of a single-step and accurate reverse transcriptase loop-mediated isothermal amplification technique (RT-LAMP) for rapid identification of SARS-CoV-2 relative to commercial quantitative reverse transcriptase real-time PCR (qRT-PCR) assays to allow prompt initiation of proper medical care and containment of virus spread.Methods: Primers showing optimal in-silico features were subjected to analytical sensitivity and specificity to assess the limit of detection (LOD) and cross-reaction with closely- and distantly-related viral species, and clinically prominent bacterial and fungal species. In order to evaluate the clinical utility, our RT-LAMP was subjected to a large number of clinical samples, including 213 negative and 47 positive patients, relative to two commercial quantitative RT-PCR assays.Results: The analytical specificity and sensitivity of our assay was 100% and 500 copies/ml when serial dilution was performed in both water and sputum. Subjecting our RT-LAMP assay to clinical samples showed a high degree of specificity (99.5%), sensitivity (91.4%), positive predictive value (97.7%), and negative predictive value (98.1%) when used relative to qRT-PCR. Our RT-LAMP assay was two times faster than qRT-PCR and is storable at room temperature. A suspected case that later became positive tested positive using both our RT-LAMP and the two qRT-PCR assays, which shows the capability of our assay for screening purposes.Conclusions: We present a rapid RT-LAMP assay that could extend the capacity of laboratories to process two times more clinical samples relative to qRT-PCR and potentially could be used for high-throughput screening purposes when demand is increasing at critical situations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource qRT-PCR, RT-LAMP, diagnostic test, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fcimb.2020.00331 Source A related resource from which the described resource is derived Frontiers in Cellular and Infection Microbiology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology http://socictopen.socict.org/files/original/67bcb263193d3e70afa81daa493a0192.pdf 26078370847c899995f3963a77605a48 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Validation of a Rapid, Single-Step Reverse Transcriptase Loop-Mediated Isothermal Amplification (RT-LAMP) System Potentially to Be Used for Reliable and High-Throughput Screening of COVID-19 Creator An entity primarily responsible for making the resource Cornelia Lass-Flörl, Minghua Jiang, Weihua Pan, Amir Arasthfer, Wenjie Fang, Liyan Ling, Hua Fang, Farnaz Daneshnia, Jian Yu, Wanqing Liao, Hao Pei, Xiaojing Li Description An account of the resource Objectives: Development and validation of a single-step and accurate reverse transcriptase loop-mediated isothermal amplification technique (RT-LAMP) for rapid identification of SARS-CoV-2 relative to commercial quantitative reverse transcriptase real-time PCR (qRT-PCR) assays to allow prompt initiation of proper medical care and containment of virus spread.Methods: Primers showing optimal in-silico features were subjected to analytical sensitivity and specificity to assess the limit of detection (LOD) and cross-reaction with closely- and distantly-related viral species, and clinically prominent bacterial and fungal species. In order to evaluate the clinical utility, our RT-LAMP was subjected to a large number of clinical samples, including 213 negative and 47 positive patients, relative to two commercial quantitative RT-PCR assays.Results: The analytical specificity and sensitivity of our assay was 100% and 500 copies/ml when serial dilution was performed in both water and sputum. Subjecting our RT-LAMP assay to clinical samples showed a high degree of specificity (99.5%), sensitivity (91.4%), positive predictive value (97.7%), and negative predictive value (98.1%) when used relative to qRT-PCR. Our RT-LAMP assay was two times faster than qRT-PCR and is storable at room temperature. A suspected case that later became positive tested positive using both our RT-LAMP and the two qRT-PCR assays, which shows the capability of our assay for screening purposes.Conclusions: We present a rapid RT-LAMP assay that could extend the capacity of laboratories to process two times more clinical samples relative to qRT-PCR and potentially could be used for high-throughput screening purposes when demand is increasing at critical situations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, SARS-CoV-2, qRT-PCR, RT-LAMP, Diagnostic test Identifier An unambiguous reference to the resource within a given context 10.3389/fcimb.2020.00331 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology http://socictopen.socict.org/files/original/c03214e3920195e68b3ce00c51b645e1.pdf 0c9e7a32a7209bd2e19dcd74cd74dc6d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and validation of a risk factor-based system to predict short-term survival in adult hospitalized patients with COVID-19: a multicenter, retrospective, cohort study Creator An entity primarily responsible for making the resource Yu Zhang, Feng Wu, Mengfei Guo, Xuan Wang, Shuai Zhang, Juanjuan Xu, Yang Jin, Limin Duan, Guorong Hu, Zhihui Wang, Qi Huang, Tingting Liao, Yanling Ma, Zhilei Lv, Wenjing Xiao, Zilin Zhao, Xueyun Tan, Daquan Meng, Shujing Zhang, E Zhou, Zhengrong Yin, Wei Geng, Jianchu Zhang, Jianguo Chen Description An account of the resource Abstract Background Coronavirus disease 2019 (COVID-19) has become a public health emergency of global concern. We aimed to explore the risk factors of 14-day and 28-day mortality and develop a model for predicting 14-day and 28-day survival probability among adult hospitalized patients with COVID-19. Methods In this multicenter, retrospective, cohort study, we examined 828 hospitalized patients with confirmed COVID-19 hospitalized in Wuhan Union Hospital and Central Hospital of Wuhan between January 12 and February 9, 2020. Among the 828 patients, 516 and 186 consecutive patients admitted in Wuhan Union Hospital were enrolled in the training cohort and the validation cohort, respectively. A total of 126 patients hospitalized in Central Hospital of Wuhan were enrolled in a second external validation cohort. Demographic, clinical, radiographic, and laboratory measures; treatment; proximate causes of death; and 14-day and 28-day mortality are described. Patients’ data were collected by reviewing the medical records, and their 14-day and 28-day outcomes were followed up. Results Of the 828 patients, 146 deaths were recorded until May 18, 2020. In the training set, multivariate Cox regression indicated that older age, lactate dehydrogenase level over 360 U/L, neutrophil-to-lymphocyte ratio higher than 8.0, and direct bilirubin higher than 5.0 μmol/L were independent predictors of 28-day mortality. Nomogram scoring systems for predicting the 14-day and 28-day survival probability of patients with COVID-19 were developed and exhibited strong discrimination and calibration power in the two external validation cohorts (C-index, 0.878 and 0.839). Conclusion Older age, high lactate dehydrogenase level, evaluated neutrophil-to-lymphocyte ratio, and high direct bilirubin level were independent predictors of 28-day mortality in adult hospitalized patients with confirmed COVID-19. The nomogram system based on the four factors revealed good discrimination and calibration, suggesting good clinical utility. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource mortality, covid-19, risk factor, Prediction System Identifier An unambiguous reference to the resource within a given context 10.1186/s13054-020-03123-x Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medical emergencies. Critical care. Intensive care. First aid http://socictopen.socict.org/files/original/04f1dd225e4bac0e5e2fe664d787ae34.pdf 9d710eae2d1b1cbe68565fd91ce86dbe Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Validation of CoV19-OM Intensive Care Unit Score: An Early ICU Identification for Laboratory-Confirmed SARS-CoV-2 Patients from a Retrospective Cohort Study in Oman. Creator An entity primarily responsible for making the resource Eduardo M Lacap, Abraham Varghese, Faryal Khamis, Maher Al Bahrani, Hamed Al Naamani, Shajidmon Kolamban, Samata Al Dowaiki, Huda Salim Al Shuaily Description An account of the resource To develop and validate a clinical score that will identify potential admittance in an intensive care unit (ICU) for a coronavirus disease 2019 (COVID-19) case. The clinical scoring is built using Least Absolute Shrinkages and Selection Operator logistic regression. The prediction algorithm was constructed and cross-validated using the development cohort of 313 COVID-19 patients and was validated using independent retrospective set of 64 COVID-19 patients. Majority of patients are Omani in nationality (n=181, 58%). Multivariate logistic regression identified 8 independent predictors of ICU admission that were included in the clinical score: hospitalization (OR, 1.079; 95% CI, 1.058 - 1.100), absolute lymphocyte count (OR, 0.526; 95%CI, 0.379- 0.729), C-reactive protein (OR, 1.009; 95%CI, 1.006-1.011), lactate dehydrogenase (OR, 1.0008; 95%CI, 1.0004-1.0012), CURB-65 score (OR, 2.666; 95%CI, 2.212-3.213), chronic kidney disease with estimated glomerular filtration rate of less than 70 (OR, 0.249; 95%CI, 0.155-0.402), shortness of breath (OR, 3.494; 95%CI, 2.528-6.168), and bilateral infiltrates in chest radiography (OR, 6.335; 95%CI, 3.427-11.713). The mean of area under a curve (AUC) from the development cohort was 0.86 (95%CI, 0.85-0.87) and of the validation cohort was 0.85 (95%CI, 0.82-0.88). We provided a web application for identifying potential admittance in an ICU for COVID-19 case by clinical risk score based on 8 significant characteristics of patient (http://3.14.27.202/cov19-icu-score/). Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Oman, SARS-CoV-2, risk factor, Intensive care unit, Clinical score Identifier An unambiguous reference to the resource within a given context 10.1016/j.ijid.2021.04.069 Source A related resource from which the described resource is derived International Journal of Infectious Diseases Publisher An entity responsible for making the resource available Elsevier