1098 10 20655 https://socictopen.socict.org/files/original/0025d453488d7a548bcb7c4429927e5f.pdf 3e79ebce7a8f2044284e73a3572a6144 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 Setting up a molecular diagnostic laboratory for SARS-CoV-2 testing: Experience of a single centre in a resource-constrained setting Creator An entity primarily responsible for making the resource Iriagbonse I. Osaigbovo, Isaac O. Igbarumah, Ekene B. Muoebonam, Darlington E. Obaseki Description An account of the resource Background: Molecular detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is at the forefront of the global response to the coronavirus disease 2019 (COVID-19) pandemic. However, molecular diagnostic capabilities are poorly developed in many African countries. Efforts by the Nigeria Centre for Disease Control and other public health agencies to scale up facilities for molecular testing across the continent are well documented, but there are few accounts from the laboratories at the frontline. Intervention: As part of an institutional response to the COVID-19 pandemic, the University of Benin Teaching Hospital, Benin City, Nigeria, signed a memorandum of understanding with a World Bank-supported institution to obtain a non-proprietary testing platform, renovated an existing molecular virology laboratory and validated the test process to make SARS-CoV-2 testing readily available for decision-making by frontline health workers. These efforts resulted in the University of Benin Teaching Hospital’s inclusion in the Nigeria Centre for Disease Control COVID-19 molecular laboratory network. The laboratory achieved a turnover of 12 123 tests within 7 months of operation. Challenges faced and dealt with include incompatible equipment, limited skilled manpower, unstable (unreliable) electric power supply, disrupted procurement and supply chain, and significant overhead costs. Lessons learnt: Molecular diagnostic capability is essential in laboratory preparedness for pandemic response and can be achieved by establishing collaborative networks in low-resource settings. Recommendations: Molecular diagnostic capabilities attained during the COVID-19 pandemic should be maintained by governmental support of the local biotechnology sector, collaboration with partners and stakeholders and the expansion of diagnostics to include other diseases of public health importance. 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, Laboratory, SARS-CoV-2, Coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2, molecular diagnosis, Nigeria, Resource constrained, ubth, university of benin teaching hospital Identifier An unambiguous reference to the resource within a given context 10.4102/ajlm.v10i1.1326 Source A related resource from which the described resource is derived African Journal of Laboratory Medicine Publisher An entity responsible for making the resource available AOSIS Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine https://socictopen.socict.org/files/original/99769ab20b6cf5e699610bb752e18a8d.pdf 1b789bef5a8bfe5d0c8be02d195a2649 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 Perceptions and effects of COVID-19 related information in Denmark and Sweden - a web-based survey about COVID-19 and social media. Creator An entity primarily responsible for making the resource Sigrid Stjernswärd, Anna-Karin Ivert, Stinne Glasdam Description An account of the resource Extensive COVID-19 information can generate information overload and confusion. Denmark and Sweden adopted different COVID-19 management strategies. This study aimed to compare search strategies, perceptions and effects of COVID-19 information, in general and specifically in social media, in residents in Denmark and Sweden. Quantitative data from a sample of respondents (n = 616) from Denmark and Sweden on an international web-based survey was analysed using descriptive and analytical statistics. The results showed similarities between the countries regarding preferred and trusted information sources, use of (social) media, and psychosocial and behavioural effects of such information. Traditional media and social media were frequently used for COVID-19 information. Especially health authorities and researchers were trusted sources, representing the dominant medico-political discourse. There were no differences in negative effect and social behaviour. Residents in Denmark experienced significantly more positive effects than residents in Sweden. Summarily, the study showed similarities and small differences among residents in both countries related to usage patterns, perceptions and effects of COVID-19 information from (social) media, despite diverging strategies. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Denmark, social media, Survey, psychosocial effects, Sweden, COVID-19 information Identifier An unambiguous reference to the resource within a given context 10.1007/s10389-021-01539-5 Source A related resource from which the described resource is derived Zeitschrift fur Gesundheitswissenschaften = Journal of public health https://socictopen.socict.org/files/original/558cd56ab210c3e1dbff39673bc7e538.pdf fa1d26c6232554cb8d3e764373fa7b8d 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 Exploring the Social Impacts of the COVID-19 Pandemic on People Living with HIV (PLHIV): A Scoping Review. Creator An entity primarily responsible for making the resource Jordan J Winwood, Lisa Fitzgerald, Bernard Gardiner, Kate Hannan, Chris Howard, Allyson Mutch Description An account of the resource Understanding the clinical impact of COVID-19 has been central to emerging research in the HIV field, but in focusing on the biomedical, researchers must not overlook the socially embedded nature of HIV and the potential social impacts of this new pandemic on PLHIV. We conducted a scoping review to explore emerging research examining the social impacts of COVID-19 on PLHIV in OECD countries over the first 12 months of the pandemic. Twenty articles were identified and included for review. Key themes included: impacts on HIV care access/telehealth; stress and mental health; social isolation and loneliness; food insecurity; changes to sexual behaviour; changes to substance use; impacts on income, education and employment; and racial and social inequality. Results from this review can help guide research into areas where it is needed to help minimise the negative social impacts of the COVID-19 pandemic. 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, HIV, covid-19, social impact, PLHIV Identifier An unambiguous reference to the resource within a given context 10.1007/s10461-021-03300-1 Source A related resource from which the described resource is derived AIDS and behavior https://socictopen.socict.org/files/original/abc685295245c0e4839b1891335ccea4.pdf 36bc4c96a0fa4f0dff8dfead94f61e60 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 Rare Case of Acute Mesenteric Ischemia in the Setting of COVID-19 Infection. Creator An entity primarily responsible for making the resource Neeharika Krothapalli, Jason Jacob Description An account of the resource Severe respiratory syndrome coronavirus 2 (SARS-CoV-2) is well known for causing respiratory and other extrapulmonary manifestations. Patients infected with coronavirus disease 2019 (COVID-19) may demonstrate atypical presentations with gastrointestinal symptoms. Clinicians managing these patients should reserve a high index of suspicion for the rare complication of acute mesenteric ischemia (AMI). It is a challenging diagnosis that is often missed when presenting symptoms are subtle and nonspecific like nausea, emesis, or diarrhea. Outcomes are typically catastrophic and fatal as bowel ischemia progresses to necrosis but may be averted with timely diagnostic and therapeutic methods to swiftly restore blood flow. 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, gastrointestinal manifestations, acute mesenteric ischemia Identifier An unambiguous reference to the resource within a given context 10.7759/cureus.14174 Source A related resource from which the described resource is derived Cureus https://socictopen.socict.org/files/original/0380edb3060b0da5c4bd1a653f5e81dd.pdf b7ea2139c6895e7aef5fa270bb142078 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 Assessing risk in the retail environment during the COVID-19 pandemic. Creator An entity primarily responsible for making the resource C Budd, K Calvert, S Johnson, S O Tickle Description An account of the resource The COVID-19 pandemic has caused unprecedented disruption, particularly in retail. Where essential demand cannot be fulfilled online, or where more stringent measures have been relaxed, customers must visit shop premises in person. This naturally gives rise to some risk of susceptible individuals (customers or staff) becoming infected. It is essential to minimize this risk as far as possible while retaining economic viability of the shop. We therefore explore and compare the spread of COVID-19 in different shopping situations involving person-to-person interactions: (i) free-flowing, unstructured shopping; (ii) structured shopping (e.g. a queue). We examine which of (i) or (ii) may be preferable for minimizing the spread of COVID-19 in a given shop, subject to constraints such as the geometry of the shop; compliance of the population to local guidelines; and additional safety measures which may be available to the organizers of the shop. We derive a series of conclusions, such as unidirectional free movement being preferable to bidirectional shopping, and that the number of servers should be maximized as long as they can be well protected from infection. 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, Viral exposure, Shopping, queues, unsafe interactions Identifier An unambiguous reference to the resource within a given context 10.1098/rsos.210344 Source A related resource from which the described resource is derived Royal Society open science https://socictopen.socict.org/files/original/d93c6f59412e3ed0208baae84d8ae2ba.pdf 7e0890d38c3a4a0817a2c8616b974567 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 Predictors of Covid-19 case fatality rate: An ecological study. Creator An entity primarily responsible for making the resource Reema Karasneh, Osama Y Alshogran, Shoroq M Altawalbeh, Sayer I Al-Azzam Description An account of the resource The outbreak of novel coronavirus (Covid-19) has a significant burden on global health and could be associated with significant mortality. Limited information exists about determinants of its fatality worldwide. Thus, this ecological study examined the association of various predictors with Covid-19 fatality. International data bases of Covid-19 statistics and health metrics available primarily at WHO were reviewed to collect information for 113 countries. The dependent variable was Covid-19 case fatality rate. Independent variables were demographic, social, clinical, economic, heath care and child health factors. Case fatality rate of Covid-19 varies across countries with an average of 4.2 ± 3.8%, and about half of countries had fatality rate >3.2% (median). Significant relationships were observed between Covid-19 fatality rate and socio-economic, clinical, and health variables at the unadjusted regression analysis. At the multivariate adjusted model, percentage of population with age>60 years was positively associated with Covid-19 fatality (B = 0.032, p = 0.005), while Polio-3 immunization at 1-year old was inversely related (B = -0.057, p = 0.017). This ecological investigation highlights the higher risk of death among elderly with Covid-19 pandemic and suggests that Polio-3 immunization coverage among 1-year-olds may be associated with better survival. Future research is warranted to validate these findings. 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, Fatality, Pandemic, global, Predictors, ecological study Identifier An unambiguous reference to the resource within a given context 10.1016/j.amsu.2021.102319 Source A related resource from which the described resource is derived Annals of medicine and surgery (2012) https://socictopen.socict.org/files/original/2727228338526a59d39d5165c9ecb305.pdf d60a0ca6be3c46edad5752bacb581e9a 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 Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning Creator An entity primarily responsible for making the resource Xiaoshuo Li, Wenjun Tan, Pan Liu, Qinghua Zhou, Jinzhu Yang Description An account of the resource Novel coronavirus pneumonia (NCP) has become a global pandemic disease, and computed tomography-based (CT) image analysis and recognition are one of the important tools for clinical diagnosis. In order to assist medical personnel to achieve an efficient and fast diagnosis of patients with new coronavirus pneumonia, this paper proposes an assisted diagnosis algorithm based on ensemble deep learning. The method combines the Stacked Generalization ensemble learning with the VGG16 deep learning to form a cascade classifier, and the information constituting the cascade classifier comes from multiple subsets of the training set, each of which is used to collect deviant information about the generalization behavior of the data set, such that this deviant information fills the cascade classifier. The algorithm was experimentally validated for classifying patients with novel coronavirus pneumonia, patients with common pneumonia (CP), and normal controls, and the algorithm achieved a prediction accuracy of 93.57%, sensitivity of 94.21%, specificity of 93.93%, precision of 89.40%, and F1-score of 91.74% for the three categories. The results show that the method proposed in this paper has good classification performance and can significantly improve the performance of deep neural networks for multicategory prediction tasks. 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 10.1155/2021/5528441 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 (General), Medical technology https://socictopen.socict.org/files/original/458bbd0c29523e361587cd2e975fec0a.pdf e52db17e81b3e9b24a7cecab5bf1053f 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 Targeting protein-protein interaction interfaces in COVID-19 drug discovery. Creator An entity primarily responsible for making the resource Chung-ke Chang, Shan-Meng Lin, Shih-Chao Lin, Sin-Cih Sun, Hung-Yi Wu, Roshan Satange, Kylene Kehn-Hall, Ming-Hon Hou Description An account of the resource To date, the COVID-19 pandemic has claimed over 1 million human lives, infected another 50 million individuals and wreaked havoc on the global economy. The crisis has spurred the ongoing development of drugs targeting its etiological agent, the SARS-CoV-2. Targeting relevant protein-protein interaction interfaces (PPIIs) is a viable paradigm for the design of antiviral drugs and enriches the targetable chemical space by providing alternative targets for drug discovery. In this review, we will provide a comprehensive overview of the theory, methods and applications of PPII-targeted drug development towards COVID-19 based on recent literature. We will also highlight novel developments, such as the successful use of non-native protein-protein interactions as targets for antiviral drug screening. We hope that this review may serve as an entry point for those interested in applying PPIIs towards COVID-19 drug discovery and speed up drug development against the pandemic. 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, drug discovery, antiviral strategy, PPIIs Identifier An unambiguous reference to the resource within a given context 10.1016/j.csbj.2021.04.003 Source A related resource from which the described resource is derived Computational and structural biotechnology journal https://socictopen.socict.org/files/original/abd8c1f5225aebc1d39fa76d5586bc3b.pdf e8bef52b6589d74b8c44edce1f9c3c8d 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 Data Driven Approach for Prioritizing COVID-19 Vaccinations in the Midwestern United States. Creator An entity primarily responsible for making the resource Matthew Blaser, Michael D Cailas, John R Canar, Brian Cooper, Peter J Geraci, Kristin M Osiecki, Apostolis Sambanis, Greg Arling, Joel Flax-Hatch Description An account of the resource Considering the potential for widespread adoption of social vulnerability indices (SVI) to prioritize COVID-19 vaccinations, there is a need to carefully assess them, particularly for correspondence with outcomes (such as loss of life) in the context of the COVID-19 pandemic. The University of Illinois at Chicago School of Public Health Public Health GIS team developed a methodology for assessing and deriving vulnerability indices based on the premise that these indices are, in the final analysis, classifiers. Application of this methodology to several Midwestern states with a commonly used SVI indicates that by using only the SVI rankings there is a risk of assigning a high priority to locations with the lowest mortality rates and low priority to locations with the highest mortality rates. Based on the findings, we propose using a two-dimensional approach to rationalize the distribution of vaccinations. This approach has the potential to account for areas with high vulnerability characteristics as well as to incorporate the areas that were hard hit by the pandemic. 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 10.5210/ojphi.v13i1.11621 Source A related resource from which the described resource is derived Online journal of public health informatics https://socictopen.socict.org/files/original/e498d77e4e9ca489a984358151dd6d7f.pdf 6b2dea86c3781aad62cd17f7dda1eaa8 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 Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19. Creator An entity primarily responsible for making the resource Jane L Snowdon, William Kassler, Hema Karunakaram, Brian E Dixon, Kyu Rhee Description An account of the resource To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic. The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g., government, academic institutions, healthcare providers and payers, life science companies, employers, citizens) to address public health challenges across the prepare, respond, and recover phases of a pandemic, building on existing models for public health operations and response. Mapping existing solutions, technology assets, and ideas to the framework helped identify public health informatics solution requirements and gaps in responding to COVID-19 in areas such as applied science, epidemiology, communications, and business continuity. Two examples of technologies used in COVID-19 illustrate novel applications of informatics encompassed by the framework. First, we examine a hub from The Weather Channel, which provides COVID-19 data via interactive maps, trend graphs, and details on case data to individuals and businesses. Second, we examine IBM Watson Assistant for Citizens, an AI-powered virtual agent implemented by healthcare providers and payers, government agencies, and employers to provide information about COVID-19 via digital and telephone-based interaction. Early results from these novel informatics solutions have been positive, showing high levels of engagement and added value across stakeholders. The framework supports development, application, and evaluation of informatics approaches and technologies in support of public health preparedness, response, and recovery during a pandemic. Effective solutions are critical to success in recovery from COVID-19 and future pandemics. 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, pandemics, artificial intelligence, information technology, public health informatics, clinical informatics Identifier An unambiguous reference to the resource within a given context 10.5210/ojphi.v13i1.11072 Source A related resource from which the described resource is derived Online journal of public health informatics