1681 10 20655 https://www.socictopen.socict.org/files/original/ceca8dee185afaaf7941c1b9ec3ea822.pdf 4bd122267004db24b6b33fb61ec5d1a1 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 Cerebrovascular events in COVID-19 patients Creator An entity primarily responsible for making the resource Anu Anna George, Ajay Kumar Mishra, Kamal Kant Sahu, Amos Lal, Jennifer Sargent Description An account of the resource Neurological manifestations in patients with COVID–19 are more frequently being reported. Cerebrovascular events have been reported in around 3% of patients. In this review we summarize the published literature on cerebrovascular events in patients with COVID-19 as available on the PubMed database. So far, 3 studies have reported cerebrovascular events. Cerebrovascular events were identified on screening patients with decreased consciousness or in the presence of focal neurological deficits. These events were common in elderly, critically ill patients and in patients with prior cardio-cerebrovascular comorbidities. The diagnosis of cerebrovascular events was confirmed with computed tomography of the brain in most studies reporting neurological events. Multiple pathological mechanisms have been postulated regarding the process of neurological and vascular injury among which cytokine storm is shown to correlate with mortality. Patients with severe illness are found to have a higher cardio- cerebrovascular comorbidity. With an increasing number of cases and future prospective studies, the exact mechanism by which these cerebrovascular events occur and attribute to the poor outcome will be better understood. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource outcome, imaging, mechanism, Cerebrovascular events, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.4081/monaldi.2020.1341 Source A related resource from which the described resource is derived Monaldi Archives for Chest Disease Publisher An entity responsible for making the resource available PAGEPress 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 Medicine https://www.socictopen.socict.org/files/original/74bb199e05efd0209e5f8fa5dea15732.pdf 2b45be42812db792fe0a3e9561ce22fa 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 Taxonomy Proposal for the Assessment of the Changes in Soundscape Resulting from the COVID-19 Lockdown Creator An entity primarily responsible for making the resource Peter Lercher, Jean Marc Wunderli, Gaetano Licitra, Patricio Munoz, Carlos Ribeiro, Pierre Aumond, Arnaud Can, Catherine Lavandier, Guillermo De Arcas, Cesar Asensio, Luis Gasco Description An account of the resource Many countries around the world have chosen lockdown and restrictions on people’s mobility as the main strategies to combat the COVID-19 pandemic. These actions have significantly affected environmental noise and modified urban soundscapes, opening up an unprecedented opportunity for research in the field. In order to enable these investigations to be carried out in a more harmonized and consistent manner, this paper makes a proposal for a set of indicators that will enable to address the challenge from a number of different approaches. It proposes a minimum set of basic energetic indicators, and the taxonomy that will allow their communication and reporting. In addition, an extended set of descriptors is outlined which better enables the application of more novel approaches to the evaluation of the effect of this new soundscape on people's subjective perception. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource indicators, Noise, metrics, descriptors, soundscape, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17124205 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health 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/75323b3b6245266b535fe2f46a8f3f3f.pdf 259ceccb7e0f7604cf4aef1cdf87465b 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 Canada's Food Security During the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Kerri L. Holland Description An account of the resource The COVID-19 pandemic has drawn public attention to Canada’s food security. Access toa safe, stable and high-quality food supply is often taken for granted by many citizens, butproviding it is one of the key roles that our agricultural industry serves and underlines whyit is designated an essential service.Despite the federal government’s assurance that our nation’s food supply remains stable,concerns have been mounting from both consumers and the agricultural industry thatdisruptions in the food supply chain will cause food insecurity and severe economic distress.As a whole, Canada’s agri-food industry is well-positioned to adapt to the present crisis andcontinue supplying domestic and export markets. However, this does not mean that our foodsystem is impermeable to disruption. In fact, challenges caused by COVID-19 have highlightedvulnerabilities in the food supply chain. Labour shortages, major shifts in consumer demand,and the slowdowns/closures at processing plants have already exacerbated food insecurityamong Canadians and increased financial pressure on primary producers.As the foundation of the food supply chain, Canadian farmers are key to its stability. As manyfarms were experiencing severe economic hardship prior to the pandemic, the challenges ofmarket uncertainty and increased production costs put these operations at greater financialrisk. Policy action will be key to ensure the short and long-term viability of our primaryindustry and maintain the capacity to meet domestic and export market demands.Canada is still in the early stages of crisis management but government support of Canadianagriculture has so far been largely inadequate in alleviating the financial impact on farmers.The Canadian government should take additional steps to alleviate the financial burden onprimary producers, ensure export markets remain open and free from trade barriers, andcommit to establishing a long-term agri-food strategy and action plan Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource food security, agriculture, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived The School of Public Policy Publications Publisher An entity responsible for making the resource available University of Calgary Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Political institutions and public administration (General) https://www.socictopen.socict.org/files/original/d043258aada770f813de2f23a74fb958.pdf ce2fb03ab44e6353cd7f57180a522a70 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 Two Randomized Controlled Trials of Bacillus Calmette-Guérin Vaccination to reduce absenteeism among health care workers and hospital admission by elderly persons during the COVID-19 pandemic: A structured summary of the study protocols for two randomised controlled trials Creator An entity primarily responsible for making the resource Mihai G. Netea, Reinout Van Crevel, Janneke van de Wijgert, Chantal P. Bleeker-Rovers, Cornelis H van Werkhoven, Jaap Ten Oever, Marc J Bonten, Thomas W. van der Vaart, Patricia Bruijning-Verhagen, Thijs ten Doesschate, Simone J.C.F.M. Moorlag, Arief Lalmohamed, Rob ter Heine, Axel B. Janssen, Esther Taks, Priya Debisarun, on behalf of the BCG-CORONA study team# Description An account of the resource Abstract Objectives The objectives of these two separate trials are: (1) to reduce health care workers (HCWs) absenteeism; and (2) to reduce hospital admission among the elderly during the COVID-19 pandemic through BCG vaccination. Trial design Two separate multi-centre placebo-controlled parallel group randomized trials Participants (1) Health care personnel working in the hospital or ambulance service where they will take care of patients with the COVID-19 infection and (2) elderly ≥60 years. The HCW trial is being undertaken in 9 hospitals. The elderly trial is being undertaken in locations in the community in Nijmegen, Utrecht, and Veghel, in the Netherlands, using senior citizen organisations to facilitate recruitment. Intervention and comparator For both trials the intervention group will be randomized to vaccination with 0.1 ml of the licensed BCG vaccine (Danish strain 1331, SSI, Denmark, equivalent to 0.075 mg attenuated M. bovis). The placebo group consists of 0.1 ml 0.9% NaCl, which is the same amount, and has the same colour and appearance as the suspended BCG vaccine. Main outcomes (1) Number of days of unplanned work absenteeism in HCWs for any reason which can be continuously measured on a bi-weekly basis, and (2) the cumulative incidence of hospital admission due to documented COVID-19. Randomisation Participants will be randomized to BCG vaccine or placebo (1;1) centrally using a computer- based system, stratified by study centre. Blinding (masking) Subjects, investigators, physicians and outcome assessors are blinded for the intervention. Only the pharmacist assistant that prepares- and research personnel that administers- study medicines are unblinded. Numbers to be randomised (sample size) (1) The sample size for the first trial is N=1500 HCWs randomised 1:1 to either BCG vaccine (n=750) and placebo (n=750) and (2) The sample size for the second trial is N=1600 elderly persons randomised to BCG vaccine (n=800) and the placebo group (n=800). Trial Status HCW: version 4.0, 24-04-2020. Recruitment began 25-03-2020 and was completed on the 23-04-2020. Elderly: version 3.0, 04-04-2020. Recruitment began 16-04- 2020 and is ongoing. Trial registration The HCWs trial was registered 31-03-2020 at clinicaltrials.gov (identifier: NCT04328441) and registered 20-03-2020 at the Dutch Trial Registry (trialregister.nl, identifier Trial NL8477). The elderly trial was registered 22-04-2020 at the Dutch trial registry with number NL8547. Full protocol The full protocols will be attached as additional files, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource elderly, healthcare workers, Randomised controlled trial, protocol, BCG vaccine, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13063-020-04389-w Source A related resource from which the described resource is derived Trials 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 Medicine (General) https://www.socictopen.socict.org/files/original/772d5a8081814af321a0a673263bc738.pdf 9800c2a188f61ef107a029b5e7705de3 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 Fear of COVID-19 Scale—Associations of Its Scores with Health Literacy and Health-Related Behaviors among Medical Students Creator An entity primarily responsible for making the resource Hiep T. Nguyen, Kristine Sørensen, Tuyen Van Duong, Trung T Nguyen, Thao T.P. Nguyen, Binh N. Do, Khue M. Pham, Yen H Nguyen, Andrew Pleasant, Giang B. Kim, Hoa T.B. Dam Description An account of the resource The coronavirus disease 2019 (COVID-19) pandemic causes fear, as its immediate consequences for the public have produced unprecedented challenges for the education and healthcare systems. We aimed to validate the fear of COVID-19 scale (FCoV-19S) and examine the association of its scores with health literacy and health-related behaviors among medical students. A cross-sectional study was conducted from 7 to 29 April 2020 on 5423 students at eight universities across Vietnam, including five universities in the North, one university in the Center, two universities in the South. An online survey questionnaire was used to collect data on participants’ characteristics, health literacy, fear of COVID-19 using the FCoV-19S, and health-related behaviors. The results showed that seven items of the FCoV-19S strongly loaded on one component, explained 62.15% of the variance, with good item–scale convergent validity and high internal consistency (Cronbach’s alpha = 0.90). Higher health literacy was associated with lower FCoV-19S scores (coefficient, B, −0.06; 95% confidence interval, 95%CI, −0.08, −0.04; p < 0.001). Older age or last academic years, being men, and being able to pay for medication were associated with lower FCoV-19S scores. Students with higher FCoV-19S scores more likely kept smoking (odds ratio, OR, 1.11; 95% CI, 1.08, 1.14; p < 0.001) or drinking alcohol (OR, 1.04; 95% CI, 1.02, 1.06; p < 0.001) at an unchanged or higher level during the pandemic, as compared to students with lower FCoV-19S scores. In conclusion, the FCoV-19S is valid and reliable in screening for fear of COVID-19. Health literacy was found to protect medical students from fear. Smoking and drinking appeared to have a negative impact on fear of COVID-19. Strategic public health approaches are required to reduce fear and promote healthy lifestyles during the pandemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Health Literacy, Mental health, Medical students, Psychological Health, academic year, Fear of COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17114164 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health 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/6d987393096f3c32676f99518c07efa8.pdf 4d1c03fc9d29ddfbc726f6a31d664601 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 Public Sentiment Insights and Machine Learning for Tweets Classification Creator An entity primarily responsible for making the resource Md. Mokhlesur Rahman, Jim Samuel, G. G. Md. Nawaz Ali, Ek Esawi, Yana Samuel Description An account of the resource Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID-19’s informational crisis and gauge public sentiment, so that appropriate messaging and policy decisions can be implemented. In this research article, we identify public sentiment associated with the pandemic using Coronavirus specific Tweets and R statistical software, along with its sentiment analysis packages. We demonstrate insights into the progress of fear-sentiment over time as COVID-19 approached peak levels in the United States, using descriptive textual analytics supported by necessary textual data visualizations. Furthermore, we provide a methodological overview of two essential machine learning (ML) classification methods, in the context of textual analytics, and compare their effectiveness in classifying Coronavirus Tweets of varying lengths. We observe a strong classification accuracy of 91% for short Tweets, with the Naïve Bayes method. We also observe that the logistic regression classification method provides a reasonable accuracy of 74% with shorter Tweets, and both methods showed relatively weaker performance for longer Tweets. This research provides insights into Coronavirus fear sentiment progression, and outlines associated methods, implications, limitations and opportunities. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource machine learning, Twitter, coronavirus, sentiment analysis, COVID-19, textual analytics Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/info11060314 Source A related resource from which the described resource is derived Information 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 Information technology https://www.socictopen.socict.org/files/original/488c8158c72cbfd2223ea585dc6d2838.pdf 4a8f3017a661fb9fc4f299633e2b2e53 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 Spectrum of Neurologic Complications in COVID-19: An Evidence-Based Review Creator An entity primarily responsible for making the resource Puneet Khanna, Surya K Dube, Soumya Sarkar Description An account of the resource The world is facing an unprecedented crisis due to the pandemic of current coronavirus disease 2019 (COVID-19). Coronavirus (CoVs) infections not only are always involving the respiratory tract but also possess significant neuroinvasive potential. The literature regarding neuropathogenic potential of human CoVs is sparse. Thus, the number of COVID-19–related neurologic complications is likely to be underestimated. Awareness regarding the possible spectrum of neurologic complications is essential for therapeutic decision-making and individualized treatment and thereby limiting the COVID-19–related morbidity and mortality. The aim of this review is to address the neurologic manifestations of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Management, complications, Neurology, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1055/s-0040-1713017 Source A related resource from which the described resource is derived Journal of Neuroanaesthesiology and Critical Care Publisher An entity responsible for making the resource available Thieme Publishers Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Anesthesiology https://www.socictopen.socict.org/files/original/74c7df4c0ff645da5c16fec602495ffb.pdf 3eb1a86de5c1106502c89b4e63825a2c 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 Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique Creator An entity primarily responsible for making the resource B Datta, S. K. Tamang, P.D. Singh Description An account of the resource Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Covid-19 number of rising cases and death cases in India, USA, France, and UK, considering the progressive trends of China and South Korea. In this paper, three cases are considered to analyze the outbreak of Covid-19 pandemic viz., (i) forecasting as per the present trend of rising cases of different countries (ii) forecasting of one week following up with the improvement trends as per China and South Korea, and (iii) forecasting if followed up the progressive trends as per China and South Korea before a week. The results have shown that ANN can efficiently forecast the future cases of COVID 19 outbreak of any country. The study shows that the confirmed cases of India, USA, France and UK could be about 50,000 to 1,60,000, 12,00,000 to 17,00,000, 1,40,000 to 1,50,000 and 2,40,000 to 2,50,000 respectively and may take about 2 to 10 months based on progressive trends of China and South Korea.  Similarly, the death toll for these countries just before controlling could be about 1600 to 4000 for India, 1,35,000 to 1,00,000 for USA, 40,000 to 55,000 for France, 35,000 to 47,000 for UK during the same period of study. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Artificial Neural Network (ANN), coronavirus covid-19, ann-curve fitting, forecast modelling Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.06 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management 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 sciences https://www.socictopen.socict.org/files/original/46f3128ee1328edaaa86746291e4bbc0.pdf c1fe58e7cdf90c750e932e849fbb0fef 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 Exercising in Times of Lockdown: An Analysis of the Impact of COVID-19 on Levels and Patterns of Exercise among Adults in Belgium Creator An entity primarily responsible for making the resource Veerle De Bosscher, Jeroen Scheerder, Erik Thibaut, Bram Constandt, Annick Willem, Margot Ricour Description An account of the resource Countries all over the world implemented lockdowns to counteract COVID-19. These lockdowns heavily limited people’s exercise possibilities. At the same time, experts advocated to remain physically active to prevent future health problems. Based on an online survey, this study examines adults’ exercise levels and patterns during the COVID-19 lockdown in Belgium. Ordinal logistic regression analyses of 13,515 valid and population-weighted responses indicate a general increase in exercise frequencies, as well as in sedentary behavior. Except for people aged 55+, previously low active adults self-reported to exercise more during the lockdown. Among the people who were already high active before COVID-19, those above 55 years old, those with low education, those used to exercise with friends or in a sport club, and those who were not using online tools to exercise, self-reported to exercise less during the lockdown. Having less time, sitting more, and missing the familiar way and competitive element of exercising were the main reasons for a self-reported exercise reduction. Given the health risks associated with physical inactivity, results imply that governments should consider how those who were not reached can be encouraged to exercise during a lockdown. After all, additional COVID-19 lockdowns might be implemented in the future. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Health promotion, physical exercise, sport participation, Pandemic, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17114144 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health 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/7f0f10c63f6ee84e96c3911107e23f9a.pdf b232a3ce28818c910f2de9bac61b6d6e 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 Antimicrobial Photodynamic Therapy in the Control of COVID-19 Creator An entity primarily responsible for making the resource Maria G. P. M. S. Neves, Adelaide Almeida, M. Amparo F. Faustino Description An account of the resource Antimicrobial photodynamic therapy (aPDT), using well known, safe and cost-effective photosensitizers, such as phenothiazines, e.g., methylene blue (MB), or porphyrins, e.g., protoporphyrin-IX (PP-IX), might help to mitigate the COVID-19 either to prevent infections or to develop photoactive fabrics (e.g., masks, suits, gloves) to disinfect surfaces, air and wastewater, under artificial light and/or natural sunlight. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource disinfection, control, coronaviruses, Antimicrobial photodynamic therapy, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/antibiotics9060320 Source A related resource from which the described resource is derived Antibiotics 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 Therapeutics. Pharmacology