492 10 20655 https://www.socictopen.socict.org/files/original/5917e762ee83ea47a90a4dcac5c07327.pdf fb2d8bfec20068f05de193c73b753e35 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 CT pulmonary angiogram examinations and reported pulmonary embolism incidence: comparison between peak first wave and early second wave. Creator An entity primarily responsible for making the resource M T Tsakok, Z Qamhawi, S F Lumley, C Xie, P Matthews, F Gleeson, R Benamore 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 10.1016/j.crad.2021.02.001 Source A related resource from which the described resource is derived Clinical radiology https://www.socictopen.socict.org/files/original/993b383fde5852cb20314a6444f409fd.pdf cb5b473a5944a9aea898d54df981b637 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 Death and BCG Vaccination Programs Worldwide Creator An entity primarily responsible for making the resource Feras J. Jirjees, Yahya H. Dallal Bashi, Hala J. Al-Obaidi Description An account of the resource Several clinical trials are being conducted worldwide to investigate the protective effect of the bacillus Calmette-Guérin (BCG) vaccine against death in healthcare providers who are working directly with coronavirus disease 2019 (COVID-19) patients. Clinical studies suggested that certain live vaccines, particularly the BCG vaccine, could reduce the mortality due to other diseases caused by non-targeted pathogens, most probably through the nonspecific effects (heterologous effects). By the end of May 2020, the available information on the COVID-19 pandemic indicated the great effect of the BCG vaccine in reducing the number of COVID-19 death cases. The occurrence of death due to COVID-19 was found to be 21-fold lower in countries with a national BCG vaccination policy than in countries without such a policy, based on the medians of COVID-19 death case per 1 million of the population in these two groups of countries (p Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, covid-19 pandemic, BCG vaccine, covid-19 death cases, covid-19 mortality Identifier An unambiguous reference to the resource within a given context 10.4046/trd.2020.0063 Source A related resource from which the described resource is derived Tuberculosis and Respiratory Diseases Publisher An entity responsible for making the resource available The Korean Academy of Tuberculosis and Respiratory Diseases 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 https://www.socictopen.socict.org/files/original/b7351deef5c212106c752f6a3b52b788.pdf 90440d0860f1010587591d005d6b8081 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 Deaths: Are We Sure It Is Pneumonia? Please, Autopsy, Autopsy, Autopsy! Creator An entity primarily responsible for making the resource Cristoforo Pomara, Giovanni Li Volti, Francesco Cappello Description An account of the resource The current outbreak of COVID-19 severe respiratory disease, which started in Wuhan, China, is an ongoing challenge, and a major threat to public health that requires surveillance, prompt diagnosis, and research efforts to understand this emergent pathogen and to develop an effective response. Due to the scientific community’s efforts, there is an increasing body of published studies describing the virus’ biology, its transmission and diagnosis, its clinical features, its radiological findings, and the development of candidate therapeutics and vaccines. Despite the decline in postmortem examination rate, autopsy remains the gold standard to determine why and how death happens. Defining the pathophysiology of death is not only limited to forensic considerations; it may also provide useful clinical and epidemiologic insights. Selective approaches to postmortem diagnosis, such as limited postmortem sampling over full autopsy, can also be useful in the control of disease outbreaks and provide valuable knowledge for managing appropriate control measures. In this scenario, we strongly recommend performing full autopsies on patients who died with suspected or confirmed COVID-19 infection, particularly in the presence of several comorbidities. Only by working with a complete set of histological samples obtained through autopsy can one ascertain the exact cause(s) of death, optimize clinical management, and assist clinicians in pointing out a timely and effective treatment to reduce mortality. Death can teach us not only about the disease, it might also help with its prevention and, above all, treatment. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource diagnosis, Autopsy, infectious diseases, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9051259 Source A related resource from which the described resource is derived Journal of Clinical Medicine Publisher An entity responsible for making the resource available MDPI AG 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/2f1304350ac6e4623e541fde8aaa1306.pdf 90440d0860f1010587591d005d6b8081 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 Deaths: Are We Sure It Is Pneumonia? Please, Autopsy, Autopsy, Autopsy! Creator An entity primarily responsible for making the resource Giovanni Li Volti, Cristoforo Pomara, Francesco Cappello Description An account of the resource The current outbreak of COVID-19 severe respiratory disease, which started in Wuhan, China, is an ongoing challenge, and a major threat to public health that requires surveillance, prompt diagnosis, and research efforts to understand this emergent pathogen and to develop an effective response. Due to the scientific community’s efforts, there is an increasing body of published studies describing the virus’ biology, its transmission and diagnosis, its clinical features, its radiological findings, and the development of candidate therapeutics and vaccines. Despite the decline in postmortem examination rate, autopsy remains the gold standard to determine why and how death happens. Defining the pathophysiology of death is not only limited to forensic considerations; it may also provide useful clinical and epidemiologic insights. Selective approaches to postmortem diagnosis, such as limited postmortem sampling over full autopsy, can also be useful in the control of disease outbreaks and provide valuable knowledge for managing appropriate control measures. In this scenario, we strongly recommend performing full autopsies on patients who died with suspected or confirmed COVID-19 infection, particularly in the presence of several comorbidities. Only by working with a complete set of histological samples obtained through autopsy can one ascertain the exact cause(s) of death, optimize clinical management, and assist clinicians in pointing out a timely and effective treatment to reduce mortality. Death can teach us not only about the disease, it might also help with its prevention and, above all, treatment. 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, covid-19, Diagnosis, autopsy Identifier An unambiguous reference to the resource within a given context 10.3390/jcm9051259 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/6b853b6c7e6bba58bf6b73802f510a2d.pdf 4e38b873335fa99295858e6126704eaf 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 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review Creator An entity primarily responsible for making the resource Huanlai Xing, Amir Rehman, Muhammad Azhar Iqbal, Irfan Ahmed Description An account of the resource COVID-19 has infected 223 countries and caused 2.8 million deaths worldwide (at the time of writing this article), and the death rate is increasing continuously. Early diagnosis of COVID patients is a critical challenge for medical practitioners, governments, organizations, and countries to overcome the rapid spread of the deadly virus in any geographical area. In this situation, the previous epidemic evidence on Machine Learning (ML) and Deep Learning (DL) techniques encouraged the researchers to play a significant role in detecting COVID-19. Similarly, the rising scope of ML/DL methodologies in the medical domain also advocates its significant role in COVID-19 detection. This systematic review presents ML and DL techniques practiced in this era to predict, diagnose, classify, and detect the coronavirus. In this study, the data was retrieved from three prevalent full-text archives, i.e., Science Direct, Web of Science, and PubMed, using the search code strategy on 16 March 2021. Using professional assessment, among 961 articles retrieved by an initial query, only 40 articles focusing on ML/DL-based COVID-19 detection schemes were selected. Findings have been presented as a country-wise distribution of publications, article frequency, various data collection, analyzed datasets, sample sizes, and applied ML/DL techniques. Precisely, this study reveals that ML/DL technique accuracy lay between 80% to 100% when detecting COVID-19. The RT-PCR-based model with Support Vector Machine (SVM) exhibited the lowest accuracy (80%), whereas the X-ray-based model achieved the highest accuracy (99.7%) using a deep convolutional neural network. However, current studies have shown that an anal swab test is super accurate to detect the virus. Moreover, this review addresses the limitations of COVID-19 detection along with the detailed discussion of the prevailing challenges and future research directions, which eventually highlight outstanding issues. 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, Diagnosis, machine learning, deep learning, detection, anal swab Identifier An unambiguous reference to the resource within a given context 10.3390/app11083414 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 Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics https://www.socictopen.socict.org/files/original/d992194f79f5b8d141b247fd1f9b0252.pdf 4d1216153a9dc423bc2d1f07fcf1001f 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 Detection in Chest X-ray Images using a Deep Learning Approach Creator An entity primarily responsible for making the resource Iñigo Barandiaran, Fátima Saiz Description An account of the resource The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or fever that, in severe cases, may cause pneumonia. The COVID-19 spreads so quickly between people, affecting to 1,200,000 people worldwide at the time of writing this paper (April 2020). Due to the number of contagious and deaths are continually growing day by day, the aim of this study is to develop a quick method to detect COVID-19 in chest X-ray images using deep learning techniques. For this purpose, an object detection architecture is proposed, trained and tested with a public available dataset composed with 1500 images of non-infected patients and infected with COVID-19 and pneumonia. The main goal of our method is to classify the patient status either negative or positive COVID-19 case. In our experiments using SDD300 model we achieve a 94.92% of sensibility and 92.00% of specificity in COVID-19 detection, demonstrating the usefulness application of deep learning models to classify COVID-19 in X-ray images. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource deep learning, object detection, X-ray, coronavirus covid-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.9781/ijimai.2020.04.003 Source A related resource from which the described resource is derived International Journal of Interactive Multimedia and Artificial Intelligence Publisher An entity responsible for making the resource available Universidad Internacional de La Rioja (UNIR) Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Technology https://www.socictopen.socict.org/files/original/2fc132f16210c6f0174b46e1a65e9e46.pdf bfa320ce7ec8b2fee8787ccb8d94b3a2 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 discloses unequal geographies Creator An entity primarily responsible for making the resource Kirsi Pauliina Kallio, Marcelo Lopes de Sousa, Katharyne Mitchell, Jouni Häkli, Simone Tulumello, Isabel Meier, Anna Carastathis, Aila Spathopoulou, Myrto Tsilimpounidi, Gemma Bird, Amanda Russell Beattie, Jelena Obradovic-Wochnik, Patrycja Rozbicka, James Riding Description An account of the resource The collective editorial discusses inequalities that scholars in Europe and the Americas world have paid attention to during 2020 when the Covid-19 pandemic has unevenly and unpredictably impacted on societies. The critical reflections reveal that the continuing ramifications of the pandemic can only be understood in place; like other large-scale phenomena, this exceptional global crisis concretizes very differently in distinct national, regional and local contexts. The pandemic intertwines with ongoing challenges in societies, for example those related to poverty, armed conflicts, migration, racism, natural hazards, corruption and precarious labor. Through collective contextual understanding, the editorial invites further attention to the unequal geographies made visible and intensified by the current pandemic. 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 10.11143/fennia.99514 Source A related resource from which the described resource is derived Fennia: International Journal of Geography Publisher An entity responsible for making the resource available Geographical Society of Finland Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geography (General) https://www.socictopen.socict.org/files/original/a163b3446499c427baa164dd3993b988.pdf 2da79fddf694514518584b86f1eee912 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 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time Creator An entity primarily responsible for making the resource Philipp Wicke, Marianna M. Bolognesi Description An account of the resource The words we use to talk about the current epidemiological crisis on social media can inform us on how we are conceptualizing the pandemic and how we are reacting to its development. This paper provides an extensive explorative analysis of how the discourse about Covid-19 reported on Twitter changes through time, focusing on the first wave of this pandemic. Based on an extensive corpus of tweets (produced between 20th March and 1st July 2020) first we show how the topics associated with the development of the pandemic changed through time, using topic modeling. Second, we show how the sentiment polarity of the language used in the tweets changed from a relatively positive valence during the first lockdown, toward a more negative valence in correspondence with the reopening. Third we show how the average subjectivity of the tweets increased linearly and fourth, how the popular and frequently used figurative frame of WAR changed when real riots and fights entered the discourse. 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, twitter, Sentiment analysis, corpus analysis, topic modeling, figurative framing Identifier An unambiguous reference to the resource within a given context 10.3389/fcomm.2021.651997 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 Communication. Mass media https://www.socictopen.socict.org/files/original/458f2807410929035632e48470c36dd2.pdf 32f9aea3697ab31c30f486d9f6c3e5a7 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 Drives Consumer Behaviour and Agro-Food Markets towards Healthier and More Sustainable Patterns Creator An entity primarily responsible for making the resource Valeria Borsellino, Sina Ahmadi Kaliji, Emanuele Schimmenti Description An account of the resource This study examines the extant state of research into our understanding of the impact of the coronavirus pandemic in its early stages on food-purchasing behaviour. As such, it includes a summary and categorisation of the findings, extending to consumption preferences worldwide. After the indiscriminate stockpiling of food, which was witnessed in many countries following the implementation of the lockdown, the impact of COVID-19 (COronaVIrus Disease-2019) on consumer habits has inversely varied in function of personal attitudes, individual and household experiences, and characteristics. Specific contexts, and the financial, economic, and logistic nature of these contexts, have also been found to be of relevance in examining the research relating to the coronavirus pandemic and food-purchasing behaviour. Concurrent with the pandemic, some worldwide trends have emerged—home cooking has been rediscovered, leading to an increase in the demand for staple foodstuffs, and purchases from small, local retailers and online food shopping have been accorded preferential treatment. Despite price volatility and concern about future household incomes, a significant proportion of consumers have shifted to buying healthier, more sustainable food. Moreover, food wastage has seen a notable decrease in volume. Such an occasion should be strategically exploited by manufacturers and retailers in satisfying this consumer demand. Finally, the COVID-19 crisis would seem to offer an unparalleled opportunity to re-engineer the agro-food market by driving the transition toward more sustainable supply and production patterns. Thus, stronger and more equitable partnerships between farmers, manufacturers, retailers, and citizens may be in the process of being forged. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource financial crisis, Food Supply chain, consumer behaviour, consumption preferences, food purchasing behaviour, domestic food waste Identifier An unambiguous reference to the resource within a given context 10.3390/su12208366 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 Environmental effects of industries and plants, Renewable energy sources, Environmental sciences https://www.socictopen.socict.org/files/original/73667da660c3a565e84b77f3853cb623.pdf fca2aa68188d31f0b79a8fa8d813041e 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 Drug Discovery Using Intensive Approaches Creator An entity primarily responsible for making the resource Ayumu Asai, Masamitsu Konno, Miyuki Ozaki, Chihiro Otsuka, Andrea Vecchione, Takahiro Arai, Toru Kitagawa, Ken Ofusa, Masami Yabumoto, Takaaki Hirotsu, Masateru Taniguchi, Hidetoshi Eguchi, Yuichiro Doki, Hideshi Ishii Description An account of the resource Since the infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in China during December 2019, the coronavirus disease 2019 (COVID-19) has spread on a global scale, causing the World Health Organization (WHO) to issue a warning. While novel vaccines and drugs that target SARS-CoV-2 are under development, this review provides information on therapeutics which are under clinical trials or are proposed to antagonize SARS-CoV-2. Based on the information gained from the responses to other RNA coronaviruses, including the strains that cause severe acute respiratory syndrome (SARS)-coronaviruses and Middle East respiratory syndrome (MERS), drug repurposing might be a viable strategy. Since several antiviral therapies can inhibit viral replication cycles or relieve symptoms, mechanisms unique to RNA viruses will be important for the clinical development of antivirals against SARS-CoV-2. Given that several currently marketed drugs may be efficient therapeutic agents for severe COVID-19 cases, they may be beneficial for future viral pandemics and other infections caused by RNA viruses when standard treatments are unavailable. 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, coronavirus, infection, drug discovery, Drug repositioning Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijms21082839 Source A related resource from which the described resource is derived International Journal of Molecular Sciences Publisher An entity responsible for making the resource available MDPI AG 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), Chemistry Language A language of the resource EN