634 10 20655 https://www.socictopen.socict.org/files/original/49b1bfc53904fddef192b08fb67c8f5a.pdf 38f08e35abe8488d3022e19a92e37705 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 Application of embedded computer and improved genetic algorithm in the strategy of community of human destiny: the development of artificial intelligence in the context of Covid-19. Creator An entity primarily responsible for making the resource Yaoyao Liu, Yixin Zhang, Xiaoya Liu Description An account of the resource Through the COVID-19 epidemic in 2020, the society has deeply realized the inevitability and necessity of building a community that shares the future of mankind. In the face of severely complex international trends and domestic and international economic conditions, artificial intelligence plays an important auxiliary role in the regular prevention and management of COVID-19. In order to effectively correspond to the formalized extensional prevention and control theory, it is essential to use coordination models, rule systems, prevention and control mechanisms, and governance landscapes to build artificial intelligence corresponding systems. This article uses a basic genetic algorithm to realize the robot path plan. This mainly includes the establishment of environmental models, the discovery of chromosomes and the determination of coding methods, the selection and design of fitness functions, and related designs. This paper proposes a new adaptive adjustment mode based on the basic genetic algorithm, which improves the selection and mutation operation, and improves the optimization efficiency of the genetic algorithm. Building an artificial intelligence response system may face various technical risks and governance dilemmas. Only by improving the rule system of artificial intelligence, creating an epidemic prevention and control ecology, conserving the public spirit of the whole people, strengthening the governance of the source of crisis, and further improving the new momentum of economic and social development and public safety. The modernization of governance capabilities can better respond to the current complex situation. 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, Artificial intelligence development, Embedded computer, Improved genetic algorithm Identifier An unambiguous reference to the resource within a given context 10.1007/s12652-021-03218-5 Source A related resource from which the described resource is derived Journal of ambient intelligence and humanized computing https://www.socictopen.socict.org/files/original/2c2a1a25cc1ca11a9c24f9ba7498c800.pdf d24568c8f9287915f362f7d6b0f55adc 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 EDAS method for decision support modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information. Creator An entity primarily responsible for making the resource Bushra Batool, Shougi Suliman Abosuliman, Saleem Abdullah, Shahzaib Ashraf Description An account of the resource The significance of emergency decision-making (EmDM) has been experienced recently due to the continuous occurrence of various emergency situations that have caused significant social and monetary misfortunes. EmDM assumes a manageable role when it is important to moderate property and live misfortunes and to reduce the negative effects on the social and natural turn of events. Genuine world EmDM issues are usually described as complex, time-consuming, lack of data, and the effect of mental practices that make it a challenging task for decision-makers. This article shows the need to manage the various types of vulnerabilities and to monitor practices to resolve these concerns. In clinical analysis, how to select an ideal drug from certain drugs with efficacy values for coronavirus disease has become a common problem these days. To address this issue, we are establishing a multi-attribute decision-making approach (MADMap) based on the EDAS method under Pythagorean probabilistic hesitant fuzzy information. In addition, an algorithm is developed to address the uncertainty in the selection of drugs in EmDM issues with regards to clinical analysis. The actual contextual analysis of the selection of the appropriate drug to treat coronavirus ailment is utilized to show the practicality of our proposed technique. Finally, with the help of a comparative analysis of the TOPSIS technique, we demonstrate the efficiency and applicability of the established methodology. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource decision making, Pythagorean probabilistic hesitant fuzzy set Identifier An unambiguous reference to the resource within a given context 10.1007/s12652-021-03181-1 Source A related resource from which the described resource is derived Journal of ambient intelligence and humanized computing https://www.socictopen.socict.org/files/original/6488f6f3993114d677210f2b1ab887b4.pdf 03c219c156c87f83330384836970582c 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 Financialization of the global economy: Macroeconomic implications and policy challenges for Ukraine Creator An entity primarily responsible for making the resource Tetiana Bogdan, Vitalii Lomakovych Description An account of the resource The acceleration of the global economy’s financialization with the spread of the COVID-19 pandemic highlights the risks of financial markets volatility, boom and bust cycles, violation of price stability, and debt sustainability. In such conditions, the high degree of Ukraine economy’s external openness, significant amounts of external debt, and lack of domestic investment and credit resources raise the issue of external financial threats to the national economy. This study aims to identify the risks of financialization and debt accumulation across the globe, specify protective arrangements and vulnerabilities of Ukraine’s credit system to external shocks and develop a set of policy actions for global risks mitigation in Ukraine. To achieve this goal, available theoretical sources and policy studies were reviewed, and international databases of financial indicators have been analyzed. As a result, the underdevelopment of the financial system in Ukraine and insufficient use of the credit levers by the private sector are revealed, which impede economic growth but simultaneously mitigate the impact of external shocks in Ukraine’s economy. On the other hand, high external debt reliance is confirmed, which increases the risks of financialization and cross-border capital flows for Ukraine’s economy. A set of financial and organizational measures (targeted at eliminating credit and debt distortions in Ukraine and creating a financial basis for sustainable economic growth) are devised; they refer to development of the national capital market, fiscal policy adjustment, acceleration of the foreign direct investments inflows, shifts in the NBU’s monetary policy, and the management of foreign exchange reserves. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource monetary policy, capital market, Debt Sustainability, financialization, financial deepening, global debt Identifier An unambiguous reference to the resource within a given context 10.21511/imfi.18(1).2021.13 Source A related resource from which the described resource is derived Investment Management & Financial Innovations Publisher An entity responsible for making the resource available LLC CPC "Business Perspectives"" Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Finance https://www.socictopen.socict.org/files/original/29e0b5b8ef9171e35f0351da9905b371.pdf 5b86457c59cf1c89b0aa75e5a4c27e36 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 Covid-19 Requires a Social Medicine Response Creator An entity primarily responsible for making the resource Lucas Jacob Trout, Arthur Kleinman Description An account of the resource Covid-19 is an inherently social disease, with exposure, illness, care, and outcomes stratified along familiar social, economic, and racial lines. However, interventions from public health and clinical medicine have focused primarily on the scale-up of technical and biomedical solutions that fail to address the social contexts driving its distribution and burden. Fused with a moment of reckoning with racial injustice and economic inequality in the U.S. and across the world, these disparities charge policy leaders to develop, study, and share a response grounded in social medicine. As a yardstick for formulating, evaluating, and implementing health policy and care delivery, social medicine recommends at least three things: integrating health, social, and economic responses; bringing care to the points of greatest need; and focusing on broad equity-driven reforms in the pandemic's wake. With these tools, Covid-19 presents us with an opportunity to address the inequities that the disease highlights, exploits, and may otherwise entrench. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Global Health, covid-19, health disparities, health equity, social medicine Identifier An unambiguous reference to the resource within a given context 10.3389/fsoc.2020.579991 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 Sociology (General) https://www.socictopen.socict.org/files/original/cc435a327239e39d8a615d3960c3e9b9.pdf e30a46a32ffd36a33b0dc3425bc4626a 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 Epidemiological and clinical characteristics of 65 hospitalized patients with COVID-19 in Liaoning, China. Creator An entity primarily responsible for making the resource Wei Zhang, Yuan Ban, Yun-Hai Wu, Jin-Yang Liu, Xing-Hai Li, Hao Wu, Huan Li, Rui Chen, Xiao-Xu Yu, Rui Zheng Description An account of the resource Coronavirus disease 2019 (COVID-19) has spread rapidly to multiple countries through its infectious agent severe acute respiratory syndrome coronavirus 2. The severity, atypical clinical presentation, and lack of specific anti-viral treatments have posed a challenge for the diagnosis and treatment of COVID-19. Understanding the epidemiological and clinical characteristics of COVID-19 cases in different geographical areas is essential to improve the prognosis of COVID-19 patients and slow the spread of the disease. To investigate the epidemiological and clinical characteristics and main therapeutic strategy for confirmed COVID-19 patients hospitalized in Liaoning Province, China. Adult patients (n = 65) with confirmed COVID-19 were enrolled in this retrospective study from January 20 to February 29, 2020 in Liaoning Province, China. Pharyngeal swabs and sputum specimens were collected from the patients for the detection of severe acute respiratory syndrome coronavirus 2 nucleic acid. Patient demographic information and clinical data were collected from the medical records. Based on the severity of COVID-19, the patients were divided into nonsevere and severe groups. All patients were followed until March 20, 2020. The mean age of 65 COVID-19 patients was 45.5 ± 14.4 years, 56.9% were men, and 24.6% were severe cases. During the 14 d before symptom onset, 25 (38.5%) patients lived or stayed in Wuhan, whereas 8 (12.3%) had no clear history of exposure. Twenty-nine (44.6%) patients had at least one comorbidity; hypertension and diabetes were the most common comorbidities. Compared with nonsevere patients, severe patients had significantly lower lymphocyte counts [median value 1.3 × 109/L (interquartile range 0.9-1.95) vs 0.82 × 109/L (0.44-1.08), P < 0.001], elevated levels of lactate dehydrogenase [450 U/L (386-476) vs 707 U/L (592-980), P < 0.001] and C-reactive protein [6.1 mg/L (1.5-7.2) vs 52 mg/L (12.7-100.8), P < 0.001], and a prolonged median duration of viral shedding [19.5 d (16-21) vs 23.5 d (19.6-30.3), P = 0.001]. The overall median viral shedding time was 19.5 d, and the longest was 53 d. Severe patients were more frequently treated with lopinavir/ritonavir, antibiotics, glucocorticoid therapy, immunoglobulin, thymosin, and oxygen support. All patients were discharged following treatment in quarantine. Our findings may facilitate the identification of severe cases and inform clinical treatment and quarantine decisions regarding COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource epidemiology, Viral pneumonia, covid-19, SARS-CoV-2, coronavirus disease, Liaoning Identifier An unambiguous reference to the resource within a given context 10.12998/wjcc.v9.i10.2205 Source A related resource from which the described resource is derived World journal of clinical cases https://www.socictopen.socict.org/files/original/998c0f33027fb239f2efad1b2986710b.pdf 3c3d269a06d017150653a155593980cf 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 review of the impact of environmental factors on the fate and transport of coronaviruses in aqueous environments Creator An entity primarily responsible for making the resource Diplina Paul, Praveen Kolar, Steven G. Hall Description An account of the resource Abstract The ongoing severe acute respiratory syndrome-coronavirus (SARS-CoV-2) has triggered the coronavirus pandemic (COVID-19) that has claimed hundreds of thousands of lives worldwide. This virus spreads predominantly by human-to-human transmission via respiratory droplets. However, the presence of this virus in the fecal and anal swabs of infected patients has triggered the need for research into its waterborne transmission. The various environmental factors that impact the persistence of coronavirus in different water matrices include temperature, UV exposure, organic matter, disinfectants as well as adversarial microorganisms. This review summarizes the most recent research data on the effect of various factors on coronavirus in aqueous environments. The available data suggest that: (i) increasing temperature decreases the overall persistence of the virus; (ii) the presence of organic matter can increase the survivability of coronavirus; (iii) chlorine is the most effective and economic disinfectant; (iv) membrane bioreactors in wastewater treatment plants are hosts of competitive microorganisms that can inactivate coronaviruses; (v) ultraviolet irradiation is another effective option for virus inactivation. However, the inactivation disinfection kinetics of coronaviruses are yet to be fully understood. Thus, further research is needed to understand its fate and transport with respect to the water cycle so that effective strategies can be adopted to curb its effects. These strategies may vary based on geographic, climatic, technical, and social conditions around the globe. This paper explores possible approaches and especially the conditions that local communities and authorities should consider to find optimal solutions that can limit the spread of this virus. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41545-020-00096-w 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 Water supply for domestic and industrial purposes https://www.socictopen.socict.org/files/original/f09ffa137dabd0855fbdd5eebe5327a5.pdf 237dd7f3e6d10f0222819506456edfcd 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 Entrapment Between Narratives: The Millennial Voice and Degendering Organizational Resilience Creator An entity primarily responsible for making the resource Hope Witmer Description An account of the resource The Covid-19 pandemic pushes organizations to innovate, adapt, and be responsive to new conditions. These demands are exacerbated as organizations respond to the triple sustainability challenge of social and environmental issues alongside economic recovery. These combined factors highlight the need for an inclusive definition of organizational resilience, the increased agility to adapt, learn, and transform to rapidly shifting external and internal conditions. This paper explores a gendered perspective of organizational resilience and the implications for degendering the concept to incorporate masculine and feminine constructs equally valuable to the theory and practices of organizational resilience during times of crisis. Viewing the organizational demands of crisis and the expectations of the millennial workforce through the degendering lens elucidates conceptualizations of gender constructions and power that limit inclusive practices and processes of organizational resilience. Data was used from focus groups of men and women between the ages of 21–35 (millennials) who have experience in the workplace and a shared knowledge of sustainability including social aspects of gender equity and inclusion. The Degendering Organizational Resilience model (DOR) was used for analysis to reveal barriers to inclusive, resilient organizational practices. The data was organized according to the three aspects of the DOR, power structures, gendering practices, and language. A unique contribution of this study is that it explores a cross-cultural gender perspective of organizational resilience focused on a specific cohort group, the millennials. Based on the findings three organizational recommendations for practice were identified. These include recommendations for policies and practices that deconstruct inequitable practices and co-create more agile structures, practices, and narratives for sustainable and resilient organizations. 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, gender, millennials, organizational resilience, sustainable organizations Identifier An unambiguous reference to the resource within a given context 10.3389/frsus.2020.620903 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 Economic theory. Demography https://www.socictopen.socict.org/files/original/bfcd951351af6fd1dfecf17a54411599.pdf 0d09707d0a473fa2faa28e29cab859f1 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 Molecular docking and ADMET studies of Allium cepa, Azadirachta indica and Xylopia aethiopica isolates as potential anti-viral drugs for Covid-19. Creator An entity primarily responsible for making the resource Peter Ifeoluwa Adegbola, Banjo Semire, Olumide Samuel Fadahunsi, Aanuoluwa Eunice Adegoke Description An account of the resource Plants are repository of important constituents with proven efficacy against many human diseases including viral diseases. The antiviral activity of many plants including Azadirachta indica, Xylopia aethiopica and Allium cepa has been reported. The novel coronavirus disease is no exception among viral diseases in which plant compounds could serve as potent antagonist. Therefore, our study investigated the inhibitory potentials of Azadirachta indica and Xylopia aethiopica isolates against SARS-CoV-2 viral accessory proteins and the host serine protease. The protein data (SARS-CoV-2 Papain like protease (PLpro) (PDB: 6wx4), Chymotrypsin-like main protease (3CLpro) (PDB:6YB7), SARS-CoV nsp 12 (PDB: 6nus), Host cell protease (TMPRSS1) (PDB:5ce1) were obtained from the protein data bank (PDB), while the SDS format of each Ligands were obtained from Pubchem database. Molecular docking analysis was performed with Auto Dock Vina 1.5.6 and visualization of the interaction between the ligands and protein was done with discovery studio 2019. The ADMET prediction of pharmacokinetics and toxicity properties of the ligands was obtained using vNN Web Server. Our result showed that all the plant isolates demonstrated negative Gibb's free energy, indicating good binding affinity for both the viral and host protein. Overall, twenty-three of the forty-seven isolates showed good binding affinity comparable with dexamethasone that was used as reference drug. Although many of the compounds have good binding affinity for the viral and host proteins, based on the ADMET prediction, only Azadironic acid, Nimbionone, Nimbionol and Nimocinol all from A. indica could serve as potential drug candidate with good pharmacokinetics and toxicity profile. This study provides an insight into potential inhibitors and novel drug candidates for SARS-CoV-2. Further studies will look forward into the wet laboratory validation of Azadironic acid, Nimbionone, Nimbionol and Nimocinol against corona virus disease. The online version contains supplementary material available at 10.1007/s13337-021-00682-7. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource inhibitor, docking, ADMET, plants, SAR-CoV-2 Identifier An unambiguous reference to the resource within a given context 10.1007/s13337-021-00682-7 Source A related resource from which the described resource is derived Virusdisease https://www.socictopen.socict.org/files/original/a1459af6e4180399c69f253ae1acc649.pdf 7b15437af5e9c210ea3cdf5f9d6c9417 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 Rapid Antigen Detection Test for Severe Acute Respiratory Syndrome Coronavirus 2: How to Use It Properly? Creator An entity primarily responsible for making the resource Tonny Loho, Djoko Widodo Description An account of the resource Cases of coronavirus disease 2019 (COVID-19) in Indonesia are still increasing and even higher in the last few weeks. Contact tracing and surveillance are important to locate cases in the community, including asymptomatic individuals. Diagnosis of COVID-19 depends on the detection of viral RNA, viral antigen, or indirectly, viral antibodies. Molecular diagnosis, using real time, reverse transcriptase polymerase chain reaction (RT-PCR), is the common standard method; however, it is not widely available in Indonesia and requires a high standard laboratory. Rapid, point-of-care antibody testing has been widely used as an alternative; however, interpretation of the results is not simple and now it is no longer used by the Indonesian government as a screening test for people travelling between locations. Thus, the rapid antigen detection test (Ag-RDT) is used by the Indonesian government as a screening test for travellers. As a result, many people buy the kit online and perform self-Ag-RDT at home. This raises the question of how safe and accurate it is to perform self-Ag-RDT at home. Before a test is applied, it is suggested to research its sensitivity and specificity, as compared to gold standard, and its limitations. In this article, laboratory diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is discussed, with an emphasis on Ag-RDT and the recommendation to use it properly in daily practice. 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, SARS-CoV-2, Antigen testing Source A related resource from which the described resource is derived Acta Medica Indonesiana Publisher An entity responsible for making the resource available Interna Publishing Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Internal medicine https://www.socictopen.socict.org/files/original/c05589b118c860409a4c32f47e29f750.pdf 5cc718b7ffc2eaf076563da1cdc3baf0 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 Towards better contact-tracing in the UK. Creator An entity primarily responsible for making the resource Alex R Cook, Hannah E Clapham 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 10.1016/S2589-7500(20)30245-4 Source A related resource from which the described resource is derived The Lancet. Digital health