988 10 20655 https://www.socictopen.socict.org/files/original/979818e85839765b0a0e0015d0e1bb1f.pdf 222fb2a8adbc9b4cbf0c304dd7bf09fe 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 Factors Affecting COVID-19 Outcomes in Cancer Patients: A First Report From Guy's Cancer Center in London Creator An entity primarily responsible for making the resource Beth Russell, Charlotte Moss, Sophie Papa, Sophie Papa, Sheeba Irshad, Sheeba Irshad, Paul Ross, James Spicer, James Spicer, Shahram Kordasti, Shahram Kordasti, Danielle Crawley, Danielle Crawley, Harriet Wylie, Fidelma Cahill, Anna Haire, Kamarul Zaki, Fareen Rahman, Ailsa Sita-Lumsden, Debra Josephs, Debra Josephs, Deborah Enting, Deborah Enting, Mary Lei, Sharmistha Ghosh, Claire Harrison, Claire Harrison, Angela Swampillai, Elinor Sawyer, Elinor Sawyer, Andrea D'Souza, Simon Gomberg, Paul Fields, David Wrench, Kavita Raj, Mary Gleeson, Kate Bailey, Richard Dillon, Richard Dillon, Matthew Streetly, Anne Rigg, Richard Sullivan, Saoirse Dolly, Mieke Van Hemelrijck, Mieke Van Hemelrijck Description An account of the resource Background: There is insufficient evidence to support clinical decision-making for cancer patients diagnosed with COVID-19 due to the lack of large studies.Methods: We used data from a single large UK Cancer Center to assess the demographic/clinical characteristics of 156 cancer patients with a confirmed COVID-19 diagnosis between 29 February and 12 May 2020. Logistic/Cox proportional hazards models were used to identify which demographic and/or clinical characteristics were associated with COVID-19 severity/death.Results: 128 (82%) presented with mild/moderate COVID-19 and 28 (18%) with a severe case of the disease. An initial cancer diagnosis >24 months before COVID-19 [OR: 1.74 (95% CI: 0.71–4.26)], presenting with fever [6.21 (1.76–21.99)], dyspnea [2.60 (1.00–6.76)], gastro-intestinal symptoms [7.38 (2.71–20.16)], or higher levels of C-reactive protein [9.43 (0.73–121.12)] were linked with greater COVID-19 severity. During a median follow-up of 37 days, 34 patients had died of COVID-19 (22%). Being of Asian ethnicity [3.73 (1.28–10.91)], receiving palliative treatment [5.74 (1.15–28.79)], having an initial cancer diagnosis >24 months before [2.14 (1.04–4.44)], dyspnea [4.94 (1.99–12.25)], and increased CRP levels [10.35 (1.05–52.21)] were positively associated with COVID-19 death. An inverse association was observed with increased levels of albumin [0.04 (0.01–0.04)].Conclusions: A longer-established diagnosis of cancer was associated with increased severity of infection as well as COVID-19 death, possibly reflecting the effects a more advanced malignant disease has on this infection. Asian ethnicity and palliative treatment were also associated with COVID-19 death in cancer patients. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource cancer, covid-19, SARS-CoV-2, Outcomes, directed acyclic graph Identifier An unambiguous reference to the resource within a given context 10.3389/fonc.2020.01279 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens https://www.socictopen.socict.org/files/original/1bc6cd75840b7b17fdd0da7268eb08b5.pdf 401d7af17430a0eea15d64db3caba151 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 Directly Acting Antivirals for COVID-19: Where Do We Stand? Creator An entity primarily responsible for making the resource Siew L. Teoh, Yi H. Lim, Nai M. Lai, Nai M. Lai, Nai M. Lai, Shaun W. H. Lee, Shaun W. H. Lee, Shaun W. H. Lee Description An account of the resource The outbreak of a novel coronavirus (SARS-CoV-2) in Wuhan, China in December 2019 has now become a pandemic with no approved therapeutic agent. At the moment, the genomic structure, characteristics, and pathogenic mechanisms of SARS-CoV-2 have been reported. Based upon this information, several drugs including the directly acting antivirals have been proposed to treat people with coronavirus disease 2019 (COVID-19). This rapid review aims to describe the directly acting antivirals that have been examined for use in the management of COVID-19. Searches were conducted in three electronic databases, supplemented with a search on arXiv, bioRxiv, medRxiv, ChinaXiv, ClinicalTrials.gov, and Chinese Clinical Trial Registry for studies examining the use of antivirals in COVID-19 to identify for case reports, case series, observational studies, and randomized controlled studies describing the use of antivirals in COVID-19. Data were extracted independently and presented narratively. A total of 98 studies were included, comprising of 38 published studies and 60 registered clinical trials. These drugs include the broad spectrum antivirals such as umifenovir, protease inhibitors such as lopinavir/ritonavir as well as the RNA-dependent RNA polymerase inhibitors, remdesivir, and favipiravir. Other drugs that have been used include the nucleosidase inhibitors and polymerase acidic endonuclease inhibitors which are currently approved for prevention of influenza infections. While some of the drugs appear promising in small case series and reports, more clinical trials currently in progress are required to provide higher quality evidence. 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, Pandemic, systematic review, antivirals, Rapid review Identifier An unambiguous reference to the resource within a given context 10.3389/fmicb.2020.01857 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 https://www.socictopen.socict.org/files/original/f5c3408404827d2769b706c5d64dfafd.pdf 70b0aa07793eeeaaec14f927babe36ed 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 An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City Creator An entity primarily responsible for making the resource Richard S. Whittle, Ana Diaz-Artiles Description An account of the resource Abstract Background New York City was the first major urban center of the COVID-19 pandemic in the USA. Cases are clustered in the city, with certain neighborhoods experiencing more cases than others. We investigate whether potential socioeconomic factors can explain between-neighborhood variation in the COVID-19 test positivity rate. Methods Data were collected from 177 Zip Code Tabulation Areas (ZCTA) in New York City (99.9% of the population). We fit multiple Bayesian Besag-York-Mollié (BYM) mixed models using positive COVID-19 tests as the outcome, a set of 11 representative demographic, economic, and health-care associated ZCTA-level parameters as potential predictors, and the total number of COVID-19 tests as the exposure. The BYM model includes both spatial and nonspatial random effects to account for clustering and overdispersion. Results Multiple regression approaches indicated a consistent, statistically significant association between detected COVID-19 cases and dependent children (under 18 years old), population density, median household income, and race. In the final model, we found that an increase of only 5% in young population is associated with a 2.3% increase in COVID-19 positivity rate (95% confidence interval (CI) 0.4 to 4.2%, p=0.021). An increase of 10,000 people per km2 is associated with a 2.4% (95% CI 0.6 to 4.2%, p=0.011) increase in positivity rate. A decrease of $10,000 median household income is associated with a 1.6% (95% CI 0.7 to 2.4%, p 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, population density, Socio-economic factors, positivity rate, Besag-York-Mollié model, Youth dependency Identifier An unambiguous reference to the resource within a given context 10.1186/s12916-020-01731-6 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina 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 https://www.socictopen.socict.org/files/original/5c46340e365b31579e3e2d235ea8a7f1.pdf 1d0ca520ab42043faf3b8964723b9133 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 Animal coronaviruses and coronavirus disease 2019: Lesson for One Health approach Creator An entity primarily responsible for making the resource Uddab Poudel, Deepak Subedi, Saurav Pantha, Santosh Dhakal Description An account of the resource Coronaviruses are a group of enveloped, single-stranded, positive-sense RNA viruses which are broadly classified into Alpha, Beta, Gamma, and Delta coronaviruses genera based on the viral genome. Coronavirus was not thought to be a significant problem in humans until the outbreak of Severe Acute Respiratory Syndrome (SARS) in 2002 but infection in animals including pigs, cats, dogs and poultry has been problematic for long. The outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019 in Wuhan, China drew special attention towards this virus once again. The intermediate host of this novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is yet to be determined, but it has a very close genomic relationship with the bat coronavirus (BatCoV), RaTG13 strain, and the pangolin coronaviruses. As veterinary medicine has long term experience dealing with coronaviruses, this could be helpful in better understanding to detect the origin of SARS-CoV-2 and drive human medicine towards the development of vaccines and antiviral drugs through the collaborative and transdisciplinary approach of One Health. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource One health, covid-19, SARS-CoV-2, animal coronaviruses Identifier An unambiguous reference to the resource within a given context http://dx.doi.org/10.4314/ovj.v10i3.1 Source A related resource from which the described resource is derived Open Veterinary Journal Publisher An entity responsible for making the resource available Tripoli University Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Zoology https://www.socictopen.socict.org/files/original/a65d8f4f45402a42aac4efda9b0574e0.pdf f7cee52a8414f498a24433137ad35e82 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 How to rapidly design and operationalise PPE donning and doffing areas for a COVID-19 care facility: quality improvement initiative Creator An entity primarily responsible for making the resource LaxmiTej Wundavalli, Sheetal Singh, Angel Rajan Singh, Sidhartha Satpathy Description An account of the resource Introduction Effective implementation of standard precautions specific to COVID-19 is a challenge for hospitals within the existing constraints of time and resources.Aim To rapidly design and operationalise personal protective equipment (PPE) donning and doffing areas required for a COVID-19 care facility.Methods Literature review was done to identify all issues pertaining to donning and doffing in terms of Donabedian’s structure, process and outcome. Training on donning and doffing was given to hospital staff. Donning and doffing mock drills were held. 5S was used as a tool to set up donning and doffing areas. Instances of donning and doffing were observed for protocol deviations and errors. Plan–do–study–act cycles were conducted every alternate day for 4 weeks. The initiative was reported using Standards for QUality Improvement Reporting Excellence (SQUIRE) guidelines.Results Best practices in donning and doffing were described. Our study recommends a minimum area of 16 m2 each for donning and doffing rooms. Verbally assisted doffing was found most useful than visual prompts.Discussion Challenges included sustaining the structure and process of donning and doffing, varied supplies of PPE which altered sequencing of donning and/or doffing, and training non-healthcare workers such as plumbers, electricians and drivers who were required during emergencies in the facility.Conclusion Our study used evidence-based literature and quality improvement (QI) tools to design and operationalise donning and doffing areas with focus on people, task and environment. Our QI will enable healthcare facilities to rapidly prototype donning and doffing areas in a systematic way. 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 10.1136/bmjoq-2020-001022 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 Medicine (General) https://www.socictopen.socict.org/files/original/f343dc1b637857190b606f792a8eb68d.pdf 0f79614cfbbcbce9609093216934ba11 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 The Prevalence of Underlying Diseases and Comorbidities in COVID-19 Patients; an Updated Systematic Review and Meta-analysis Creator An entity primarily responsible for making the resource Sorour Khateri, Hedyeh Mohammadi, Rozhin Khateri, Yousef Moradi Description An account of the resource Introduction: Gaining knowledge about underlying diseases and associated comorbidities in patients with COVID-19 can be beneficial in developing a proper understanding of the disease prognosis as well as comprehensive management, and treatment of the disease. The aim of this study was to determine the prevalence of underlying diseases and associated comorbidities in COVID-19 patients using a systematic review and meta-analysis. Methods: Major biomedical electronic databases, including Scopus, PubMed, Web of Science, CINAHL and EMBASE were searched for all relevant literature published in English from January to July 2020. Cross-sectional and retrospective studies reporting the prevalence of comorbid conditions such as acute cardiac injury, acute myocardial infarction, acute kidney injury, acute liver injury, shock, acute respiratory disease, and acute respiratory distress syndrome in patients with COVID-19 were included in the study. After selecting eligible studies, two authors extracted data of each study, independently, and any inconsistency was resolved through discussion with the third reviewer until reaching a consensus. The risk of bias was assessed by two independent research experts using the Newcastle-Ottawa Scale (NOS). The variance in the meta-analyses on prevalence was stabilized by double arcsine transformations. Results: The pooled prevalence of acute respiratory injury in patients with COVID-19 was estimated as 34% (95% Cl: 10 – 57%). Also, the prevalence of acute kidney injury, acute liver injury, acute respiratory distress syndrome, and shock were estimated as 10% (95% Cl: 6 - 14%), 19% (95% Cl: 10 - 27%), 23 % (95% Cl: 19 - 27%), and 12 % (95% Cl: 5 – 19 %). Conclusion: According to this meta-analysis, comorbidities such as hypertension, acute liver and kidney injury, acute respiratory distress syndrome, shock, diabetes, and coronary heart disease seem to be a predisposing factor for symptomatic and severe COVID-19 infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource shock, acute respiratory disease, Acute liver injury, Comorbidity Conditions, Acute Cardiac Injury, Comorbidity; Prognosis; COVID-19; Systematic Review; Meta-analysis Identifier An unambiguous reference to the resource within a given context 10.22037/archives of academic emergency medicine.v8i1.807 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 https://www.socictopen.socict.org/files/original/0376aa498964237583bf7f8011c5b6de.pdf 724915e5b5ddd3ba1e71bd9e6ae14ed1 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 The Effects of Port Water Injection on Spark Ignition Engine Performance and Emissions Fueled by Pure Gasoline, E5 and E10 Creator An entity primarily responsible for making the resource Farhad Salek, Meisam Babaie, Maria Dolores Redel-Macias, Ali Ghodsi, Seyed Vahid Hosseini, Amir Nourian, Martin L Burby, Ali Zare Description An account of the resource It has been proven that vehicle emissions such as oxides of nitrogen (NOx) are negatively affecting the health of human beings as well as the environment. In addition, it was recently highlighted that air pollution may result in people being more vulnerable to the deadly COVID-19 virus. The use of biofuels such as E5 and E10 as alternatives of gasoline fuel have been recommended by different researchers. In this paper, the impacts of port injection of water to a spark ignition engine fueled by gasoline, E5 and E10 on its performance and NOx production have been investigated. The experimental work was undertaken using a KIA Cerato engine and the results were used to validate an AVL BOOST model. To develop the numerical analysis, design of experiment (DOE) method was employed. The results showed that by increasing the ethanol fraction in gasoline/ethanol blend, the brake specific fuel consumption (BSFC) improved between 2.3% and 4.5%. However, the level of NOx increased between 22% to 48%. With port injection of water up to 8%, there was up to 1% increase in engine power whereas NOx and BSFC were reduced by 8% and 1%, respectively. The impacts of simultaneous changing of the start of combustion (SOC) and water injection rate on engine power and NOx production was also investigated. It was found that the NOx concentration is very sensitive to SOC variation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource NOX, ethanol, start of combustion, E10 biofuel, water port injection Identifier An unambiguous reference to the resource within a given context 10.3390/pr8101214 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 Chemistry, Chemical technology https://www.socictopen.socict.org/files/original/c74fe25dcbad69f8a758a0a1a6f4a7c5.pdf 746c8184cf18ec92d863fccfb3512f78 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 Statistical Forecast of Pollution Episodes in Macao during National Holiday and COVID-19 Creator An entity primarily responsible for making the resource Man Tat Lei, Joana Monjardino, Luisa Mendes, David Gonçalves, Francisco Ferreira Description An account of the resource Statistical methods such as multiple linear regression (MLR) and classification and regression tree (CART) analysis were used to build prediction models for the levels of pollutant concentrations in Macao using meteorological and air quality historical data to three periods: (i) from 2013 to 2016, (ii) from 2015 to 2018, and (iii) from 2013 to 2018. The variables retained by the models were identical for nitrogen dioxide (NO2), particulate matter (PM10), PM2.5, but not for ozone (O3) Air pollution data from 2019 was used for validation purposes. The model for the 2013 to 2018 period was the one that performed best in prediction of the next-day concentrations levels in 2019, with high coefficient of determination (R2), between predicted and observed daily average concentrations (between 0.78 and 0.89 for all pollutants), and low root mean square error (RMSE), mean absolute error (MAE), and biases (BIAS). To understand if the prediction model was robust to extreme variations in pollutants concentration, a test was performed under the circumstances of a high pollution episode for PM2.5 and O3 during 2019, and the low pollution episode during the period of implementation of the preventive measures for COVID-19 pandemic. Regarding the high pollution episode, the period of the Chinese National Holiday of 2019 was selected, in which high concentration levels were identified for PM2.5 and O3, with peaks of daily concentration exceeding 55 μg/m3 and 400 μg/m3, respectively. The 2013 to 2018 model successfully predicted this high pollution episode with high coefficients of determination (of 0.92 for PM2.5 and 0.82 for O3). The low pollution episode for PM2.5 and O3 was identified during the 2020 COVID-19 pandemic period, with a low record of daily concentration for PM2.5 levels at 2 μg/m3 and O3 levels at 50 μg/m3, respectively. The 2013 to 2018 model successfully predicted the low pollution episode for PM2.5 and O3 with a high coefficient of determination (0.86 and 0.84, respectively). Overall, the results demonstrate that the statistical forecast model is robust and able to correctly reproduce extreme air pollution events of both high and low concentration levels. 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, modelling, air pollution, national holiday, air quality forecast, pollution episodes Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17145124 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 Medicine https://www.socictopen.socict.org/files/original/e7c2b61e559ede701e2dd153ed16350e.pdf e976406f2b4e8fbf2f61f47dd6ac2423 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 Novel Coronavirus (COVID-19) Knowledge, Precaution Practice, and Associated Depression Symptoms among University Students in Korea, China, and Japan Creator An entity primarily responsible for making the resource Bo Zhao, Fanlei Kong, Myo Nyein Aung, Motoyuki Yuasa, Eun Woo Nam Description An account of the resource This study assessed university students’ knowledge and precaution practices of Novel Coronavirus (COVID-19) in South Korea, China, and Japan, and investigated their depressive states during the pandemic. This cross-sectional survey collected data from 821 respondents, using an anonymous online questionnaire designed by the Yonsei Global Health Center, from 23 March to 20 April 2020, which included socio-demographic questions, knowledge and perceptions of COVID-19, preventative practices, and the Patient Health Questionnaire-9 (PHQ-9) scale to assess mental health. High proportions of respondents showed good knowledge of the transmission pathways and information related to COVID-19. Contact history as well as concerns about family members and the disease showed statistically significant distinctions by nationality and gender. On the whole, all participants reported good levels of preventative practices. The Chinese group reported the highest preventative practice scores; and females scored higher than males. Moreover, the Japanese group showed the most severe depressive states; overall, females experienced more severe depression than males. Thus, authorities should especially emphasize the importance of COVID-19 precautions to males. Educational departments and health authorities should observe the mental health of university adults during the pandemic and plan interventions to improve it. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource China, Korea, covid-19, Knowledge, Japan, university adults Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17186671 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 Medicine https://www.socictopen.socict.org/files/original/c657d736716a8ef30744abe622b324de.pdf 1498209a795675d63d3bee348c74f847 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 Moving Average Based Index for Judging the Peak of the COVID-19 Epidemic Creator An entity primarily responsible for making the resource Yunting He, Xiaojin Wang, Hao He, Jing Zhai, Bingshun Wang Description An account of the resource A pneumonia outbreak caused by a novel coronavirus (COVID-19) has spread around the world. A total of 2,314,621 laboratory-confirmed cases, including 157,847 deaths (6.8%) were reported globally by 20 April 2020. Common symptoms of COVID-19 pneumonia include fever, fatigue, and dry cough. Faced with such a sudden outbreak of emerging infectious disease, traditional models for predicting the peak of the epidemic often show inconsistent results. With the aim to timely judge the epidemic peak and provide support for decisions for resuming production and returning to normal life based on publicly reported data, we used a seven-day moving average of log-transformed daily new cases (LMA) to establish a new index named the “epidemic evaluation index” (EEI). We used SARS epidemic data from Hong Kong to verify the practicability of the new index, and then applied it to the COVID-19 epidemic analysis. The results showed that the epidemic peaked, respectively, on 9 February and 5 February 2020, in Hubei Province and other provinces in China. The proposed index can be applied for judging the epidemic peak. While the global COVID-19 epidemic reached its peak in the middle of April, the epidemic peaks in some countries have not yet appeared. Global and united efforts are still needed to eventually eliminate the epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource infectious diseases, Epidemic, moving average, novel coronavirus COVID-19, epidemic peak, epidemic evaluation Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17155288 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 Medicine