697 10 20655 https://www.socictopen.socict.org/files/original/364143013e3ae8d2193a9c6d1cc5f08c.pdf 28bdb75cceeb01f8eead5274325de180 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 Identification of Vulnerable Populations and Areas at Higher Risk of COVID-19-Related Mortality during the Early Stage of the Epidemic in the United States Creator An entity primarily responsible for making the resource Esteban Correa-Agudelo, Tesfaye B. Mersha, Adam J. Branscum, Neil J. MacKinnon, Diego F. Cuadros Description An account of the resource We characterized vulnerable populations located in areas at higher risk of COVID-19-related mortality and low critical healthcare capacity during the early stage of the epidemic in the United States. We analyze data obtained from a Johns Hopkins University COVID-19 database to assess the county-level spatial variation of COVID-19-related mortality risk during the early stage of the epidemic in relation to health determinants and health infrastructure. Overall, we identified highly populated and polluted areas, regional air hub areas, race minorities (non-white population), and Hispanic or Latino population with an increased risk of COVID-19-related death during the first phase of the epidemic. The 10 highest COVID-19 mortality risk areas in highly populated counties had on average a lower proportion of white population (48.0%) and higher proportions of black population (18.7%) and other races (33.3%) compared to the national averages of 83.0%, 9.1%, and 7.9%, respectively. The Hispanic and Latino population proportion was higher in these 10 counties (29.3%, compared to the national average of 9.3%). Counties with major air hubs had a 31% increase in mortality risk compared to counties with no airport connectivity. Sixty-eight percent of the counties with high COVID-19-related mortality risk also had lower critical care capacity than the national average. The disparity in health and environmental risk factors might have exacerbated the COVID-19-related mortality risk in vulnerable groups during the early stage of the epidemic. 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, comorbidity, health disparities, ethnicity, air pollution, Neighborhood Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084021 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/3116ec6d492112bd7c98221fd49086ea.pdf 14723ac83110cf6852ef581878d38f05 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 Does Evidence Exist to Blunt Inflammatory Response by Nutraceutical Supplementation during COVID-19 Pandemic? An Overview of Systematic Reviews of Vitamin D, Vitamin C, Melatonin, and Zinc Creator An entity primarily responsible for making the resource Giuseppe Natoli, Christiano Argano, Attilio Cavezzi, Salvatore Corrao, Raffaella Mallaci Bocchio, Marika Lo Monaco, Emidio Troiani Description An account of the resource More than one year has passed since the first cases of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome (SARS)-CoV-2 coronavirus were reported in Wuhan (China), rapidly evolving into a global pandemic. This infectious disease has become a major public health challenge in the world. Unfortunately, to date, no specific antivirals have been proven to be effective against COVID-19, and although a few vaccines are available, the mortality rate is not decreasing but is still increasing. One therapeutic strategy has been focused on infection prevention and control measures. In this regard, the use of nutraceutical supports may play a role against some aspect of the infection, particularly the inflammatory state and the immune system function of patients, thus representing a strategy to control the worst outcomes of this pandemic. For this reason, we performed an overview including meta-analyses and systematic reviews to assess the association among melatonin, vitamin C, vitamin D, zinc supplementation and inflammatory markers using three databases, namely, MEDLINE, PubMed Central and the Cochrane Library of Systematic Reviews. According to the evidence available, an intake of 50,000 IU/month of vitamin D showed efficacy in CRP. An amount of 1 to 2 g per day of vitamin C demonstrated efficacy both in CRP and endothelial function, and a dosage of melatonin ranging from 5 to 25 mg /day showed good evidence of efficacy in CRP, TNF and IL6. A dose of 50 mg/day of elemental zinc supplementation showed positive results in CRP. Based on the data reported in this review, the public health system could consider whether it is possible to supplement the current limited preventive measures through targeted nutraceutical large-scale administration. 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, systematic review, vitamin D, vitamin C, overview Identifier An unambiguous reference to the resource within a given context 10.3390/nu13041261 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 Nutrition. Foods and food supply https://www.socictopen.socict.org/files/original/be30a3c279f03f0328cf5761cff7d311.pdf c36413e2d8b98c67000c027c5850041d 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 Geo-temporal distribution of 1,688 Chinese healthcare workers infected with COVID-19 in severe conditions-A secondary data analysis. Creator An entity primarily responsible for making the resource Wayne Gao, Mattia Sanna, Min Kuang Tsai, Chi Pang Wen Description An account of the resource IntroductionThe COVID-19 outbreak is posing an unprecedented challenge to healthcare workers. This study analyzes the geo-temporal effects on disease severity for the 1,688 Chinese healthcare workers infected with COVID-19.MethodsUsing the descriptive results recently reported by the Chinese CDC, we compare the percentage of infected healthcare workers in severe conditions over time and across three areas in China, and the fatality rate of infected healthcare workers with all the infected individuals in China aged 22-59 years.ResultsAmong the infected Chinese healthcare workers whose symptoms onset appeared during the same ten-day period, the percentage of those in severe conditions decreased significantly from 19.7% (Jan 11-20) to 14.4% (Jan 21-31) to 8.7% (Feb 1-11). Across the country, there was also a significant difference in the disease severity, with Wuhan being the most severe (17.3%), followed by Hubei Province (10.2%), and the rest of China (6.6%). The case fatality rate for the 1,688 infected Chinese healthcare workers was significantly lower than that for the 29,798 infected patients aged 20-59 years-0.3% (5/1,688) vs. 0.65% (193/29,798), respectively.ConclusionThe disease severity among infected healthcare workers improved considerably over a short period of time in China. The more severe conditions in Wuhan compared to the rest of the country may be attributable to the draconian lockdown. The clinical outcomes of infected Chinese healthcare workers may represent a more accurate estimation of the severity of COVID-19 for those who have access to quality healthcare. 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 10.1371/journal.pone.0233255 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 Science, Medicine https://www.socictopen.socict.org/files/original/3edf68f19dbe56afce8d066d719d1456.pdf 0975ea3cb687a122cce962d47a143872 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 Knowledge, perceptions and preventive practices towards COVID-19 early in the outbreak among Jimma university medical center visitors, Southwest Ethiopia. Creator An entity primarily responsible for making the resource Yohannes Kebede, Yimenu Yitayih, Zewdie Birhanu, Seblework Mekonen, Argaw Ambelu Description An account of the resource BackgroundNovel-coronavirus disease-2019 (COVID-19) is currently a pandemic and public health emergency of international concern, as avowed by the World Health Organization (WHO). Ethiopia has become one of the affected countries as of March 15, 2020.ObjectiveThis study aimed to assess the knowledge, perceptions, and practices among the Jimma University medical center (JUMC) visitors in Jimma town.MethodsA cross-sectional study was conducted on 247 sampled visitors, from 20-24 March 2020. Consecutive sampling was used to recruit the participants. The study tools were adapted from WHO resources. The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 20.0. Descriptive statistics were used to describe the status of knowledge, perception, and practices. Logistic regression was executed to assess the predictors of dominant preventive practices.ResultsOf the 247 respondents, 205 (83.0%) knew the main clinical symptoms of COVID-19. 72.0% knew that older people who have chronic illnesses are at high risk of developing a severe form of COVID-19. About 95.1% knew that the COVID-19 virus spreads via respiratory droplets of infected people, while 77 (31.2%) of the respondents knew about the possibility of asymptomatic transmission. Only 15 (6.1%) knew that children and young adults had to involve preventive measures. Overall, 41.3% of the visitors had high knowledge. The majority, 170(68.8%), felt self-efficacious to controlling COVID-19. 207(83.3%) believed that COVID-19 is a stigmatized disease. Frequent hand washing (77.3%) and avoidance of shaking hands (53.8%) were the dominant practices. Knowledge status and self-efficacy (positively), older age, and unemployment (negatively) predicted hand washing and avoidance of handshaking.ConclusionsThe status of knowledge and desirable practices were not sufficient enough to combat this rapidly spreading virus. COVID-19 risk communication and public education efforts should focus on building an appropriate level of knowledge while enhancing the adoption of recommended self-care practices with special emphasis on high-risk audience segments. 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 10.1371/journal.pone.0233744 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 Science, Medicine https://www.socictopen.socict.org/files/original/37e809c1fa3c09f02e03273b026986bf.pdf 96d256482311a14ea4d5e4f71bd814b6 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 Beyond COVID-19 Pandemic: An Integrative Review of Global Health Crisis Influencing the Evolution and Practice of Corporate Social Responsibility Creator An entity primarily responsible for making the resource Henry Asante Antwi, Lulin Zhou, Xinglong Xu, Tehzeeb Mustafa Description An account of the resource Global health crisis continues to drive the dynamics of corporate social responsibility (CSR) across industries with self-perpetuating momentum. From a historical point of view, more than a century of immense corporate fecundity has formed the ecological conditions and shaped current understanding of the effect of public health on CSR. This study sought to examine the extent to which companies are able to balance their business interest with social interest through health-related CSR and how knowledge of them can help explain the potential impact of COVID-19. Method: This study employs a narrative review of current literature; however, the integrative strategy was combined with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist to rigorously select the necessary articles for proper integrative synthesis. Results: We note that in the pursuit of their social responsibility, corporate enterprises struggle to balance the interest of society and their own interest. Genuine CSR activities such as donations are often undermined by unbridled and excessive desire to draw society on themselves to reap economic benefits are largely dominated by the need to advance. There are signals that enterprises might see COVID-19-related CSR as an entry door to increase corporate influence thereby commercializing the pandemic. Conclusions: The impact of COVID-19 on CSR is epochal. There is a moral obligation for enterprises to reform current risk assessments and collaborate more deeply with state agencies to invest in the health and safety inspections at the world place. CSR strategies must be proactive to endure other unknown pandemics with equal capacity to disrupt business operations. Companies must create innovative and regular activities to educate its stakeholders to become more committed to safeguarding future enterprise-based defense mechanism needed to diagnose, protect, treat, and rehabilitate victims and those threatened by pandemics and other emergencies that affect the stability of an organization to reduce its cost and protect revenue. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource evolution, covid-19, health, Public, implication, CSR Identifier An unambiguous reference to the resource within a given context 10.3390/healthcare9040453 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/c1f674d6d83e5d9f0fca0a45841339d5.pdf f9061a0681e8b666cf331927d1072566 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 Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Corneel Vandelanotte, Quyen G. To, Kien G. To, Van-Anh N. Huynh, Nhung TQ Nguyen, Diep TN Ngo, Stephanie J. Alley, Anh NQ Tran, Anh NP Tran, Ngan TT Pham, Thanh X Bui Description An account of the resource Anti-vaccination attitudes have been an issue since the development of the first vaccines. The increasing use of social media as a source of health information may contribute to vaccine hesitancy due to anti-vaccination content widely available on social media, including Twitter. Being able to identify anti-vaccination tweets could provide useful information for formulating strategies to reduce anti-vaccination sentiments among different groups. This study aims to evaluate the performance of different natural language processing models to identify anti-vaccination tweets that were published during the COVID-19 pandemic. We compared the performance of the bidirectional encoder representations from transformers (BERT) and the bidirectional long short-term memory networks with pre-trained GLoVe embeddings (Bi-LSTM) with classic machine learning methods including support vector machine (SVM) and naïve Bayes (NB). The results show that performance on the test set of the BERT model was: accuracy = 91.6%, precision = 93.4%, recall = 97.6%, F1 score = 95.5%, and AUC = 84.7%. Bi-LSTM model performance showed: accuracy = 89.8%, precision = 44.0%, recall = 47.2%, F1 score = 45.5%, and AUC = 85.8%. SVM with linear kernel performed at: accuracy = 92.3%, Precision = 19.5%, Recall = 78.6%, F1 score = 31.2%, and AUC = 85.6%. Complement NB demonstrated: accuracy = 88.8%, precision = 23.0%, recall = 32.8%, F1 score = 27.1%, and AUC = 62.7%. In conclusion, the BERT models outperformed the Bi-LSTM, SVM, and NB models in this task. Moreover, the BERT model achieved excellent performance and can be used to identify anti-vaccination tweets in future studies. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource neural network, deep learning, LSTM, bert, transformer, stance analysis Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084069 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/c476ea61089cdbabb8aa876054726541.pdf 576ac96eff89bb7406c175489f9bc4dc 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 a Marxist Political Economy Critique of Migration and the Media Creator An entity primarily responsible for making the resource Siyuan Yin Description An account of the resource The global outbreak of COVID-19 has exposed varied ways that systemic inequality shapes people’s lives. This article pays particular attention to migrant populations. While mainstream media and political discourse tend to construct migration as a problem to be addressed or even the cause of social problems, the article contends that migration should be understood as an immanent part of capitalist uneven development, entwined with patriarchy and colonialism. The post-modern approach within media and communication scholarship on migration fails to challenge media’s constitutive role in patriarchal and racial capitalism which fundamentally shapes the process and consequences of migration. Drawing from a Marxist political economic perspective, I analyse the two cases of global transnational migration and internal migration in China and argue that media and communication studies should account for material disparity and class divisions among migrant groups and look for transformative force against unequal power structures. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Migration, migrant workers, media, inequality, class, elite migrants, capitalist globalisation Identifier An unambiguous reference to the resource within a given context 10.31269/triplec.v19i1.1206 Source A related resource from which the described resource is derived tripleC: Communication, Capitalism & Critique Publisher An entity responsible for making the resource available tripleC 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, Communities. Classes. Races https://www.socictopen.socict.org/files/original/4cebcf5cc41080b15284fa5901329cc4.pdf 4fac44693349a8b2bd2439b625374c54 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 Managing Obesity in Lockdown: Survey of Health Behaviors and Telemedicine Creator An entity primarily responsible for making the resource Noga C Minsky, Dafna Pachter, Galia Zacay, Naama Chishlevitz, Miriam Ben-Hamo, Dana Weiner, Gabriella Segal-Lieberman Description An account of the resource Since the outbreak of COVID-19, billions of people have gone into lockdown, facing pandemic related challenges that engender weight gain, especially in the obese. We report the results of an online survey, conducted during Israel’s first quarantine, of 279 adults treated in hospital-based obesity clinics with counseling, medications, surgery, endoscopic procedures, or any combination of these for weight loss. In this study, we assessed the association between changes in dietary and lifestyle habits and body weight, and the benefits of receiving weight management care remotely through telemedicine during lockdown. Compared to patients not receiving obesity care via telemedicine, patients receiving this care were more likely to lose weight (OR, 2.79; p = 0.042) and also to increase participation in exercise (OR, 2.4; p = 0.022). While 40% of respondents reported consuming more sweet or salty processed snacks and 33% reported less vegetables and fruits, 65% reported more homemade foods. At the same time, 40% of respondents reported a reduction in exercise and 52% reported a decline in mood. Alterations in these eating patterns, as well as in exercise habits and mood, were significantly associated with weight changes. This study highlights that lockdown affects health behaviors associated with weight change, and advocates for the use of telemedicine to provide ongoing obesity care during future quarantines in order to promote weight loss and prevent weight gain. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource quarantine, covid-19, SARS-CoV-2, dietary habits, exercise, Mood Identifier An unambiguous reference to the resource within a given context 10.3390/nu13041359 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 Nutrition. Foods and food supply https://www.socictopen.socict.org/files/original/e872403cee809e629d1dfe0b4faa7fef.pdf 7f2a8db56e9827cdff5116e1748fc969 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 new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction. Creator An entity primarily responsible for making the resource Y-H Taguchi, Turki Turki Description An account of the resource BackgroundCOVID-19 is a critical pandemic that has affected human communities worldwide, and there is an urgent need to develop effective drugs. Although there are a large number of candidate drug compounds that may be useful for treating COVID-19, the evaluation of these drugs is time-consuming and costly. Thus, screening to identify potentially effective drugs prior to experimental validation is necessary.MethodIn this study, we applied the recently proposed method tensor decomposition (TD)-based unsupervised feature extraction (FE) to gene expression profiles of multiple lung cancer cell lines infected with severe acute respiratory syndrome coronavirus 2. We identified drug candidate compounds that significantly altered the expression of the 163 genes selected by TD-based unsupervised FE.ResultsNumerous drugs were successfully screened, including many known antiviral drug compounds such as C646, chelerythrine chloride, canertinib, BX-795, sorafenib, sorafenib, QL-X-138, radicicol, A-443654, CGP-60474, alvocidib, mitoxantrone, QL-XII-47, geldanamycin, fluticasone, atorvastatin, quercetin, motexafin gadolinium, trovafloxacin, doxycycline, meloxicam, gentamicin, and dibromochloromethane. The screen also identified ivermectin, which was first identified as an anti-parasite drug and recently the drug was included in clinical trials for SARS-CoV-2.ConclusionsThe drugs screened using our strategy may be effective candidates for treating patients with COVID-19. 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 10.1371/journal.pone.0238907 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 Science, Medicine https://www.socictopen.socict.org/files/original/ff171ab41309dcaa08bf8bfdf7ca5443.pdf ebab77ad2f18ad70b5596ac4aaadfd76 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 Enhanced contact investigations for nine early travel-related cases of SARS-CoV-2 in the United States. Creator An entity primarily responsible for making the resource Rachel M Burke, Sharon Balter, Emily Barnes, Vaughn Barry, Karri Bartlett, Karlyn D Beer, Isaac Benowitz, Holly M Biggs, Hollianne Bruce, Jonathan Bryant-Genevier, Jordan Cates, Kevin Chatham-Stephens, Nora Chea, Howard Chiou, Demian Christiansen, Victoria T Chu, Shauna Clark, Sara H Cody, Max Cohen, Erin E Conners, Vishal Dasari, Patrick Dawson, Traci DeSalvo, Matthew Donahue, Alissa Dratch, Lindsey Duca, Jeffrey Duchin, Jonathan W Dyal, Leora R Feldstein, Marty Fenstersheib, Marc Fischer, Rebecca Fisher, Chelsea Foo, Brandi Freeman-Ponder, Alicia M Fry, Jessica Gant, Romesh Gautom, Isaac Ghinai, Prabhu Gounder, Cheri T Grigg, Jeffrey Gunzenhauser, Aron J Hall, George S Han, Thomas Haupt, Michelle Holshue, Jennifer Hunter, Mireille B Ibrahim, Max W Jacobs, M Claire Jarashow, Kiran Joshi, Talar Kamali, Vance Kawakami, Moon Kim, Hannah L Kirking, Amanda Kita-Yarbro, Rachel Klos, Miwako Kobayashi, Anna Kocharian, Misty Lang, Jennifer Layden, Eva Leidman, Scott Lindquist, Stephen Lindstrom, Ruth Link-Gelles, Mariel Marlow, Claire P Mattison, Nancy McClung, Tristan D McPherson, Lynn Mello, Claire M Midgley, Shannon Novosad, Megan T Patel, Kristen Pettrone, Satish K Pillai, Ian W Pray, Heather E Reese, Heather Rhodes, Susan Robinson, Melissa Rolfes, Janell Routh, Rachel Rubin, Sarah L Rudman, Denny Russell, Sarah Scott, Varun Shetty, Sarah E Smith-Jeffcoat, Elizabeth A Soda, Christopher Spitters, Bryan Stierman, Rebecca Sunenshine, Dawn Terashita, Elizabeth Traub, Grace M Vahey, Jennifer R Verani, Megan Wallace, Matthew Westercamp, Jonathan Wortham, Amy Xie, Anna Yousaf, Matthew Zahn Description An account of the resource Coronavirus disease 2019 (COVID-19), the respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. In response to the first cases identified in the United States, close contacts of confirmed COVID-19 cases were investigated to enable early identification and isolation of additional cases and to learn more about risk factors for transmission. Close contacts of nine early travel-related cases in the United States were identified and monitored daily for development of symptoms (active monitoring). Selected close contacts (including those with exposures categorized as higher risk) were targeted for collection of additional exposure information and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction at the Centers for Disease Control and Prevention. Four hundred four close contacts were actively monitored in the jurisdictions that managed the travel-related cases. Three hundred thirty-eight of the 404 close contacts provided at least basic exposure information, of whom 159 close contacts had ≥1 set of respiratory samples collected and tested. Across all actively monitored close contacts, two additional symptomatic COVID-19 cases (i.e., secondary cases) were identified; both secondary cases were in spouses of travel-associated case patients. When considering only household members, all of whom had ≥1 respiratory sample tested for SARS-CoV-2, the secondary attack rate (i.e., the number of secondary cases as a proportion of total close contacts) was 13% (95% CI: 4-38%). The results from these contact tracing investigations suggest that household members, especially significant others, of COVID-19 cases are at highest risk of becoming infected. The importance of personal protective equipment for healthcare workers is also underlined. Isolation of persons with COVID-19, in combination with quarantine of exposed close contacts and practice of everyday preventive behaviors, is important to mitigate spread of COVID-19. 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 10.1371/journal.pone.0238342 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 Science, Medicine