153 10 20655 https://www.socictopen.socict.org/files/original/37bd3d65059f35d271f360ccb9216459.pdf 071f7e7d2c97e773f9cbebfbbad94552 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 fiscal value of human lives lost from coronavirus disease (COVID-19) in China Creator An entity primarily responsible for making the resource Joses M. Kirigia, Rosenabi Deborah Karimi Muthuri Description An account of the resource Abstract Objective According to the WHO coronavirus disease (COVID-19) situation report 35, as of 24th February 2020, there was a total of 77,262 confirmed COVID-19 cases in China. That included 2595 deaths. The specific objective of this study was to estimate the fiscal value of human lives lost due to COVID-19 in China as of 24th February 2020. Results The deaths from COVID-19 had a discounted (at 3%) total fiscal value of Int$ 924,346,795 in China. Out of which, 63.2% was borne by people aged 25–49 years, 27.8% by people aged 50–64 years, and 9.0% by people aged 65 years and above. The average fiscal value per death was Int$ 356,203. Re-estimation of the economic model alternately with 5% and 10 discount rates led to a reduction in the expected total fiscal value by 21.3% and 50.4%, respectively. Furthermore, the re-estimation of the economic model using the world’s highest average life expectancy of 87.1 years (which is that of Japanese females), instead of the national life expectancy of 76.4 years, increased the total fiscal value by Int$ 229,456,430 (24.8%). Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Coronavirus disease, Fiscal value of human lives, Non-health gross domestic product Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13104-020-05044-y Source A related resource from which the described resource is derived BMC Research Notes 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 Biology (General), Science (General), Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/8fb757da4f33e6ac02ec1bbbf66aef31.pdf 1c23d9bdeb213468a8ebb87b35551a13 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 In silico identification of vaccine targets for 2019-nCoV [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Chloe Hyun-Jung Lee, Hashem Koohy Description An account of the resource Background: The newly identified coronavirus known as 2019-nCoV has posed a serious global health threat. According to the latest report (18-February-2020), it has infected more than 72,000 people globally and led to deaths of more than 1,016 people in China. Methods: The 2019 novel coronavirus proteome was aligned to a curated database of viral immunogenic peptides. The immunogenicity of detected peptides and their binding potential to HLA alleles was predicted by immunogenicity predictive models and NetMHCpan 4.0. Results: We report in silico identification of a comprehensive list of immunogenic peptides that can be used as potential targets for 2019 novel coronavirus (2019-nCoV) vaccine development. First, we found 28 nCoV peptides identical to Severe acute respiratory syndrome-related coronavirus (SARS CoV) that have previously been characterized immunogenic by T cell assays. Second, we identified 48 nCoV peptides having a high degree of similarity with immunogenic peptides deposited in The Immune Epitope Database (IEDB). Lastly, we conducted a de novo search of 2019-nCoV 9-mer peptides that i) bind to common HLA alleles in Chinese and European population and ii) have T Cell Receptor (TCR) recognition potential by positional weight matrices and a recently developed immunogenicity algorithm, iPred, and identified in total 63 peptides with a high immunogenicity potential. Conclusions: Given the limited time and resources to develop vaccine and treatments for 2019-nCoV, our work provides a shortlist of candidates for experimental validation and thus can accelerate development pipeline. 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 DOI: 10.12688/f1000research.22507.1 Source A related resource from which the described resource is derived F1000Research Publisher An entity responsible for making the resource available F1000 Research Ltd Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/42abe47b5c49a6b384183a63de6e79e6.pdf 7c054b106655c8a01ca41aaa5f46d76c 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 Statistics-Based Predictions of Coronavirus Epidemic Spreading in Mainland China Creator An entity primarily responsible for making the resource Igor Nesteruk Description An account of the resource Background.  The epidemic outbreak caused by coronavirus COVID-19 is of great interest to researches because of the high rate of the infection spread and the significant number of fatalities. A detailed scientific analysis of the phenomenon is yet to come, but the public is already interested in the questions of the epidemic duration, the expected number of patients and deaths. Long-time predictions require complicated mathematical models that need a lot of effort to identify and calculate unknown parameters. This article will present some preliminary estimates. Objective. Since the long-time data are available only for mainland China, we will try to predict the epidemic characteristics only in this area. We will estimate some of the epidemic characteristics and present the dependen­cies for victim numbers, infected and removed persons versus time. Methods. In this study we use the known SIR model for the dynamics of an epidemic, the known exact solution of the linear differential equations and statistical approach developed before for investigation of the children disease, which occurred in Chernivtsi (Ukraine) in 1988–1989.  Results. The optimal values of the SIR model parameters were identified with the use of statistical approach. The numbers of infected, susceptible and removed persons versus time were predicted and compared with the new data obtained after February 10, 2020, when the calculations were completed. Conclusions. The simple mathematical model was used to predict the characteristics of the epidemic caused by coronavirus in mainland China. Unfortunately, the number of coronavirus victims is expected to be much higher than that predicted on February 10, 2020, since 12289 new cases (not previously included in official counts) have been added two days later. Further research should focus on updating the predictions with the use of up-to-date data and using more complicated mathematical models. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus epidemic in china, coronavirus covid-19, coronavirus 2019-ncov, Mathematical modeling of infection diseases, SIR model, parameter identification, statistical methods Identifier An unambiguous reference to the resource within a given context DOI: 10.20535/ibb.2020.4.1.195074 Source A related resource from which the described resource is derived Innovative Biosystems and Bioengineering Publisher An entity responsible for making the resource available National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute"" Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) Language A language of the resource EN, RU, UK https://www.socictopen.socict.org/files/original/0d4b3d625a8e6a16efa8f4bbf0e14f84.pdf 1841c6eac3e4f0ed682bde9528148230 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 Protecting healthcare workers from SARS-CoV-2 infection: practical indications Creator An entity primarily responsible for making the resource Martina Ferioli, Cecilia Cisternino, Valentina Leo, Lara Pisani, Paolo Palange, Stefano Nava Description An account of the resource The World Health Organization has recently defined the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection a pandemic. The infection, that may cause a potentially very severe respiratory disease, now called coronavirus disease 2019 (COVID-19), has airborne transmission via droplets. The rate of transmission is quite high, higher than common influenza. Healthcare workers are at high risk of contracting the infection particularly when applying respiratory devices such as oxygen cannulas or noninvasive ventilation. The aim of this article is to provide evidence-based recommendations for the correct use of “respiratory devices” in the COVID-19 emergency and protect healthcare workers from contracting the SARS-CoV-2 infection. 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 DOI: 10.1183/16000617.0068-2020 Source A related resource from which the described resource is derived European Respiratory Review Publisher An entity responsible for making the resource available European Respiratory Society Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Diseases of the respiratory system Language A language of the resource EN https://www.socictopen.socict.org/files/original/8190eefc89ba9f24641c3cdcb53af961.pdf 725a9affa839d23a627df1f223a18eaf 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 A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side Creator An entity primarily responsible for making the resource Sung-Joon PARK, Minsu Kim, Seok-Jun Seo, Seung Wan Hong, Kyoohyung Han, Keewoo Lee, Jung Hee Cheon, Sun Kim Description An account of the resource Abstract Background Single Nucleotide Polymorphism (SNP) in the genome has become crucial information for clinical use. For example, the targeted cancer therapy is primarily based on the information which clinically important SNPs are detectable from the tumor. Many hospitals have developed their own panels that include clinically important SNPs. The genome information exchange between the patient and the hospital has become more popular. However, the genome sequence information is innate and irreversible and thus its leakage has serious consequences. Therefore, protecting one’s genome information is critical. On the other side, hospitals may need to protect their own panels. There is no known secure SNP panel scheme to protect both. Results In this paper, we propose a secure SNP panel scheme using homomorphically encrypted K-mers without requiring SNP calling on the user side and without revealing the panel information to the user. Use of the powerful homomorphic encryption technique is desirable, but there is no known algorithm to efficiently align two homomorphically encrypted sequences. Thus, we designed and implemented a novel secure SNP panel scheme utilizing the computationally feasible equality test on two homomorphically encrypted K-mers. To make the scheme work correctly, in addition to SNPs in the panel, sequence variations at the population level should be addressed. We designed a concept of Point Deviation Tolerance (PDT) level to address the false positives and false negatives. Using the TCGA BRCA dataset, we demonstrated that our scheme works at the level of over a hundred thousand somatic mutations. In addition, we provide a computational guideline for the panel design, including the size of K-mer and the number of SNPs. Conclusions The proposed method is the first of its kind to protect both the user’s sequence and the hospital’s panel information using the powerful homomorphic encryption scheme. We demonstrated that the scheme works with a simulated dataset and the TCGA BRCA dataset. In this study, we have shown only the feasibility of the proposed scheme and much more efforts should be done to make the scheme usable for clinical use. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource SNP panel, Homomorphic encryption, k-mer, Genomic security, Genomic privacy Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12864-019-5473-z 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 https://www.socictopen.socict.org/files/original/86d71d58e1eec29a8d6091e01e0e6ee0.pdf 482ab74a5b2d0593a19580f3e6fea515 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 Should Emergency Medical Services Personnel Protect Themselves and the Patients During COVID-19 Pandemic? Creator An entity primarily responsible for making the resource Mohammad Jalili Description An account of the resource Emergency medical services (EMS) play a vital role in the management of public health emergencies such as epidemics of infectious diseases. Unique challenges, however, are expected under these circumstances beyond what occurs during normal conditions. EMS personnel often have limited information about their patients, work under uncontrolled conditions, and accompany their patients in enclosed spaces of the ambulance. They are at particular risk of contracting the infectious agent unless standard and transmission-based precautions are implemented. Appropriate use of personal protective equipment (PPE) by responding personnel is, therefore, of paramount importance. Since the report of the first cases of COVID-19 in late December 2019, the disease has spread beyond China. As of March 29th, a total of 634,835 confirmed cases have been reported globally and 29,975 people have died. The Center for Diseases Control (CDC) and other authorities and advisory agencies have prepared guidelines regarding safety precautions for EMS personnel, including appropriate selection and use of PPE . 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 DOI: 10.22114/ajem.v0i0.376 Source A related resource from which the described resource is derived Advanced Journal of Emergency Medicine Publisher An entity responsible for making the resource available Tehran University of Medical Sciences 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/ad3d76a352339d98a13ec18dd7023fcf.pdf cc2e2ea92a1abdb59609706d56d5b808 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 Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China Creator An entity primarily responsible for making the resource Artur Strzelecki, Mariia Rizun Description An account of the resource The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second – the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, Google trends, Infodemiology, COVID-19, SARS, MERS Identifier An unambiguous reference to the resource within a given context DOI: 10.3991/ijoe.v16i04.13531 Source A related resource from which the described resource is derived International Journal of Online and Biomedical Engineering Publisher An entity responsible for making the resource available Kassel University Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Computer applications to medicine. Medical informatics Language A language of the resource EN https://www.socictopen.socict.org/files/original/8da450c5e3a98baa288bc311e1bedd5a.pdf 2bee16740df1f2b7f0171c02ad39c4f4 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 Editorial Creator An entity primarily responsible for making the resource Victor Castañeda Description An account of the resource Si bien en algunos casos la ampliación de las relaciones socioeconómicas y políticas entre diversos países alrededor del mundo ha favorecido la identificación de oportunidades de innovación e intercambio comercial —por ejemplo, los procedimientos médicos a distancia a través de la utilización de herramientas como el Sistema Quirúrgico Da Vinci—, asimismo ha generado nuevos riesgos y desafíos, en particular para la salud pública. Este es el caso de los virus, que ahora más que nunca logran propagarse con rapidez, independiente de la zona en la que se originen, gracias a la creciente movilidad de personas. Por ejemplo, pasaron alrededor de tres meses para que el coronavirus de Wuhan (China), o covid-19, llegara a São Paulo (Brasil), aun cuando la distancia entre ambas ciudades es de aproximadamente 18.000 kilómetros. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource editorial Identifier An unambiguous reference to the resource within a given context DOI: 10.15446/innovar.v30n76.85189 Source A related resource from which the described resource is derived Innovar: Revista de Ciencias Administrativas y Sociales Publisher An entity responsible for making the resource available Universidad Nacional de Colombia Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Social Sciences, Commerce, Business Language A language of the resource EN, ES, FR, PT https://www.socictopen.socict.org/files/original/2521e96e8a2a1eaba3940698f7edc685.pdf 3317cd8e0cd41ed6e41fa11bdd40a5bc 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 Resorting to mathematical modelling approach to contain the coronavirus disease 2019 (COVID-19) outbreak Creator An entity primarily responsible for making the resource Saurabh R Shrivastava, Prateek S Shrivastava 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 DOI: 10.4103/2221-6189.281311 Source A related resource from which the described resource is derived Journal of Acute Disease Publisher An entity responsible for making the resource available Wolters Kluwer Medknow Publications 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/c6ebd4993d0d2adf090eca859d138a58.pdf b321d485a6e2f9d2a8e1a1142e4306ec 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 Endotracheal Intubation of COVID-19 Patients Creator An entity primarily responsible for making the resource Zahid Hussain Khan, Jalil Makarem, Mojgan Rahimi Description An account of the resource The novel coronavirus (COVID-19) emerged for the first time in China and then rapidly spread and swept the entire world like a tornado killing thousands of patients around the planet. People were advised to stay in-doors to prevent the spread of this deadly disease, and this slogan helped to a greater extent in containing the spread of the virus. Unfortunately, there is no treatment for the disease at present, but extensive research is going on to find a definitive treatment. Regarding endotracheal intubation (ETI) of COVID-19 patients, data are scarce and no randomized clinical trials are available to develop and formulate succinct and acceptable guidelines in tackling the problem of ETI in these highly risky and vulnerable patients. 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 DOI: 10.22114/ajem.v0i0.374 Source A related resource from which the described resource is derived Advanced Journal of Emergency Medicine Publisher An entity responsible for making the resource available Tehran University of Medical Sciences 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 Language A language of the resource EN