992 10 20655 https://www.socictopen.socict.org/files/original/861975b29eeab9818fb21fa36384550f.pdf cf1d2d2df885004b1ecaf443521c4a2b 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 Herbal Medicine for the Treatment of Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis of Randomized Controlled Trials Creator An entity primarily responsible for making the resource Hye Won Lee, Myeong Soo Lee, Lin Ang, Eunhye Song Description An account of the resource Background: The coronavirus disease 2019 (COVID-19) pandemic has caused a worldwide outbreak of respiratory illness. This review aims to evaluate the effectiveness and adverse events of herbal medicines for the treatment of COVID-19. Methods: Twelve databases were searched through 12 May 2020. Randomized controlled trials (RCTs) and quasi-RCTs assessing the effects of herbal medicines for the treatment of COVID-19 were eligible. The study selection and data extraction were performed by two independent reviewers. The Cochrane risk of bias tool was used for the assessment of the risk of bias in all included RCTs. Mean differences (MDs), risk ratios (RRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated, and the effect sizes of the studies were pooled. Results: Seven RCTs with a total of 855 patients were included. All included trials compared the combined therapy of herbal medicine with Western medicine to Western medicine alone. The combined therapy significantly improved the total effective rate (RR 1.23, 95% CI 1.13 to 1.34, p < 0.001), cough symptom disappearance rate (RR 1.45, 95% CI 1.12 to 1.89, p = 0.005), and sputum production symptom disappearance rate (RR 1.73, 95% CI 1.19 to 2.50, p = 0.004). Beneficial effects of the combined therapy were also seen in TCM syndrome score of cough (MD −1.18, 95% CI −1.34 to −1.03, p < 0.001), fever (MD −0.62, 95% CI −0.79 to −0.45, p < 0.001), dry and sore throat (MD −0.83, 95% CI −1.45 to −0.20, p = 0.009), and fatigue (MD −0.60, 95% CI −1.04 to −0.17, p = 0.007). The overall risk of bias of the included studies was unclear. No serious adverse events were reported. Conclusion: Significant effects of the combined therapy of herbal medicine with Western medicine were found, and revealed the potential role of herbal medicine in treating COVID-19. More high-quality RCTs are needed to further validate the effectiveness and adverse events of herbal medicine in the treatment of COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Herbal Medicine, covid-19, coronavirus disease, systematic review, Complementary and alternative medicine Identifier An unambiguous reference to the resource within a given context 10.3390/jcm9051583 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/f1bd06c8593d9378a5903ea270546b5d.pdf 2db5dc2956426168aec3f731ca8d4e30 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 Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020 Creator An entity primarily responsible for making the resource Abdallah Alsayed, Raja Kamil, Hayder Sadir, Hasan Sari Description An account of the resource The coronavirus COVID-19 has recently started to spread rapidly in Malaysia. The number of total infected cases has increased to 3662 on 05 April 2020, leading to the country being placed under lockdown. As the main public concern is whether the current situation will continue for the next few months, this study aims to predict the epidemic peak using the Susceptible–Exposed–Infectious–Recovered (SEIR) model, with incorporation of the mortality cases. The infection rate was estimated using the Genetic Algorithm (GA), while the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was used to provide short-time forecasting of the number of infected cases. The results show that the estimated infection rate is 0.228 ± 0.013, while the basic reproductive number is 2.28 ± 0.13. The epidemic peak of COVID-19 in Malaysia could be reached on 26 July 2020, with an uncertain period of 30 days (12 July–11 August). Possible interventions by the government to reduce the infection rate by 25% over two or three months would delay the epidemic peak by 30 and 46 days, respectively. The forecasting results using the ANFIS model show a low Normalized Root Mean Square Error (NRMSE) of 0.041; a low Mean Absolute Percentage Error (MAPE) of 2.45%; and a high coefficient of determination (R2) of 0.9964. The results also show that an intervention has a great effect on delaying the epidemic peak and a longer intervention period would reduce the epidemic size at the peak. The study provides important information for public health providers and the government to control the COVID-19 epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, SEIR model, Infection rate, Basic reproductive number, ANFIS, epidemic peak Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17114076 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/4b420d67019e737dd49066cf52601065.pdf d49b17381e8bdd1ee221f500bccff7ce 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 Tantangan Penatalaksanaan STEMI di Pandemi Covid-19 Creator An entity primarily responsible for making the resource Sunanto Ng, Dafsah Arifa Juzar Description An account of the resource The necessity of timely management of ST-elevation myocardial infarction (STEMI) is now disrupted by the Covid-19 pandemic. This paper discussed the challenge to manage STEMI in Indonesia due to Covid-19. It also discussed the alternative strategies for solution. Challenge can occur in term of the healthcare safety as well as STEMI patient safety. Healthcare safety potentially impaired by the problem of STEMI mimicry due to cardiovascular complication of Covid-10, inaccuracy of Covid-19 screening, lack of effective personal protection equipment for the healthcare and  appropriate catheterisation laboratory to anticipate virus contamination. The safety of STEMI patient is potentially impaired due to prolonged ischemia time, and the risk of cross-infection. Solution for this challenge should include mass screening, rapid and accurate test to rule-out Covid-19, dual system of hospital units - Covid and non-Covid, and algorithm for triage patients with STEMI and Covid-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, STEMI Identifier An unambiguous reference to the resource within a given context 10.30701/ijc.v1i1.1023 Source A related resource from which the described resource is derived Majalah Kardiologi Indonesia Publisher An entity responsible for making the resource available Indonesian Heart Association Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Diseases of the circulatory (Cardiovascular) system https://www.socictopen.socict.org/files/original/c5ee5f79f4541eb730fb1c5ef78cf9c8.pdf cc23bb20aed3914a37578f845748a476 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 – the ultimate disruptor? Creator An entity primarily responsible for making the resource Alexander Woywodt, Hetty Breed, Colin Lumsden Description An account of the resource Coronavirus disease 2019 (COVID-19) has influenced undergraduate medical education in various ways already. In affected countries, educators and their teams were faced with a rapidly changing situation that made traditional ways of curriculum delivery impossible and required alternative approaches. Exams have also been affected and a cohort of students has graduated early and now joins the workforce. There is also concern for the next academic year should the pandemic last longer. In this paper we aim to describe wider implications of the pandemic beyond current curriculum delivery, exams and planning. We describe how our own clinical and educational environment has been utterly transformed within weeks and speculate how much these changes will persist after the pandemic. We also describe student concerns and introduce the thought that the pandemic may have positive long term effects as well. Finally, we speculate how COVID-19 may affect student recruitment, multi-professional learning and the current and future undergraduates' view of the profession. Our aim is to share our experience in the UK, reflect on the direction and magnitude of change seen in our own local and regional practice, and provide food for thought for educators and their teams who find themselves in a similar situation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, telemedicine, CURRICULUM, professionalism 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, Special aspects of education https://www.socictopen.socict.org/files/original/c195a38fc5a7dea8e5c42c08cff002cf.pdf 37dbd3101e8798c51abb11fff0775488 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 The Post-Coronavirus World in the International Tourism Industry: Application of the Theory of Planned Behavior to Safer Destination Choices in the Case of US Outbound Tourism Creator An entity primarily responsible for making the resource Aleksandar Radic, Heesup Han, Amr Al-Ansi, Bee-Lia Chua, Beenish Tariq, Su-hyun Park Description An account of the resource The tourism industry has been seriously suffering from the coronavirus disease (COVID-19) crisis ever since its outbreak. Given this pandemic situation, the major aim of this study is to develop a conceptual framework that clearly explains the US international tourists’ post-pandemic travel behaviors by expanding the theory of planned behavior (TPB). By utilizing a quantitative process, the TPB was successfully broadened by incorporating the travelers’ perceived knowledge of COVID-19, and it has been deepened by integrating the psychological risk. Our theoretical framework sufficiently accounted for the US tourists’ post-pandemic travel intentions for safer international destinations. In addition, the perceived knowledge of COVID-19 contributed to boosting the prediction power for the intentions. The associations among the subjective norm, the attitude, and the intentions are under the significant influence of the tourists’ psychological risks regarding international traveling. The comparative criticality of the subjective norm is found. Overall, the findings of this study considerably enhanced our understanding of US overseas tourists’ post-pandemic travel decision-making processes and behaviors. 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 belief, Perceived risk, theory of planned behavior (TPB), protection plan, monetary promotion, post-COVID-19 Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17186485 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/a0d15a11c4f59d70773d6141b02816fe.pdf fbc5552ccc24f8224b4e3a9de9c10f72 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 INTEGRATED MATHEMATICAL MODEL FOR IMITATION OF THE COURSE OF VIRAL DISEASE AND CORRECTION OF THE INDUCED HYPOXIC STATE Creator An entity primarily responsible for making the resource N. I. Aralova, O. M. Klyuchko, V. I. Mashkin, I. V. Mashkina, T. A. Semchyk Description An account of the resource The aim of the work was to create a complex mathematical model simulating the course of the diseasecaused by the SARS-CoV-2 virus on the level of interaction between functional systems of organism andpharmacological correction of organism hypoxic states arising in the complicated course of the disease. Inthe present work the methods of mathematical modeling and theory of optimal control of moving objectswere used. The proposed integrated mathematical model consisted on the mathematical models offunctional systems of respiration and blood circulation, thermoregulation, immune response, erythropoesis,and pharmacological correction. Individual patient data were taken for this model, and the disturbingeffect in the form of viral disease was simulated. The reactions of functional respiratory and bloodcirculatory systems were predicted. Partial pressures of respiratory gases in alveolar spaces and theirtensions in lung capillaries blood, arterial and mixed venous blood, and tissue fluid were calculated.Further the intravenous injection of antihypoxant was simulated and the values of the same parameterswere calculated. In such a way it was possible to choose the most optimal way of hypoxic state correctionfor any individual. This model is theoretical only for today because the models of respiratory and bloodcirculation systems were designed for the average person and it does not suppose peculiarities of individualpersons infected with SARS-CoV-2. In particular, this concerns the pequliarities of gas exchange in thealveolar space and characteristics of respiratory gases diffusion through the alveolar-capillary andcapillary-tissue membranes. However, it is one of possible directions for solving the complex tasks relatedto treatment of the disease caused by SARS-CoV-2 virus. In the result of the work the complex ofinformation support for the imitation of viral disease course was developed at the level of interaction oforganism functional systems, as well as pharmacological correction of caused by it hypoxic states. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource sars-cov-2 virus, immune response model, mathematical model of the respiratory system, hypoxic state, infection lesion Identifier An unambiguous reference to the resource within a given context 10.15407/biotech13.03.030 Source A related resource from which the described resource is derived Biotechnologia Acta Publisher An entity responsible for making the resource available National Academy of Sciences of Ukraine and Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biotechnology https://www.socictopen.socict.org/files/original/34e24d5dacf2318efd62588e953acf77.pdf cdfb18775131316dd2697b2ae3dd3d3a 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 potential role for Galectin-3 inhibitors in the treatment of COVID-19 Creator An entity primarily responsible for making the resource John L. Caniglia, Maheedhara R. Guda, Swapna Asuthkar, Andrew J. Tsung, Kiran K. Velpula Description An account of the resource The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), the causative agent of coronavirus disease 2019 (COVID-19), has been declared a global pandemic by the World Health Organization. With no standard of care for the treatment of COVID-19, there is an urgent need to identify therapies that may be effective in treatment. Recent evidence has implicated the development of cytokine release syndrome as the major cause of fatality in COVID-19 patients, with elevated levels of interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α) observed in patients. Galectin-3 (Gal-3) is an animal lectin that has been implicated in the disease process of a variety of inflammatory conditions. Inhibitors of the small molecule Gal-3 have been shown to reduce the levels of both IL-6 and TNF-α in vitro and have shown anti-inflammatory effects in vivo. Additionally, a key domain in the spike protein of β-coronaviridae, a genus which includes SARS-CoV2, is nearly identical in morphology to human Gal-3. These spike proteins are critical for the virus’ entry into host cells. Here we provide a systematic review of the available literature and an impetus for further research on the use of Gal-3 inhibitors in the treatment of COVID-19. Further, we propose a dual mechanism by which Gal-3 inhibition may be beneficial in the treatment of COVID-19, both suppressing the host inflammatory response and impeding viral attachment to host cells. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Cytokines, covid-19, galectin-3 Identifier An unambiguous reference to the resource within a given context 10.7717/peerj.9392 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/75684a9cec4ebdbf4e1058309c96e43c.pdf 2afe66e3fbb622fdb175a41c35e072dd 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 Insignificant Impact of the “Stay-At-Home” Order on Ambient Air Quality in the Memphis Metropolitan Area, U.S.A. Creator An entity primarily responsible for making the resource Chunrong Jia, Xianqiang Fu, Debra Bartelli, Larry Smith Description An account of the resource The lockdowns due to the COVID-19 pandemic have been reported to reduce ambient air pollution in many cities globally. This study aims to examine whether air pollution dropped in Memphis, a typical U.S. metropolitan city and transportation hub, during the lockdown from 25 March to 4 May, 2020. Daily air pollution data measured at five representative monitoring stations in the Memphis Metropolitan Area were downloaded from the U.S. Environmental Protection Agency’s Air Quality System. The mean concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone during the lockdown were compared with the baseline concentrations measured during the same periods in 2017–2019 using linear regression models. The average vehicle miles traveled (VMT) reduced by 57% in this region during the lockdown compared to that during 1–24 March, 2020. The mean (± standard deviation) concentrations of PM2.5, NO2, and ozone were 7.5 ± 2.6 μg/m3, 16.5 ± 9.4 ppb, and 44.5 ± 8.4 ppb, respectively, during the lockdown. They did not statistically differ from the baseline concentrations, nor were they lower than the mean concentrations in the prior month (25 February–24 March, 2020), after accounting for meteorological conditions. The lack of effect could be explained by the small contribution of traffic emissions to air pollution. The results suggest that the “stay-at-home” order had an insignificant impact on reducing air pollution in Memphis. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, covid-19, lockdown, PM2.5, air pollution, stay at home Identifier An unambiguous reference to the resource within a given context 10.3390/atmos11060630 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 Meteorology. Climatology https://www.socictopen.socict.org/files/original/d30d97c7eafc5ea5a67a8ddec951e108.pdf ac732eb4706b59ce6a70ce500b4187e1 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 How Will the Future of Work Shape the OSH Professional of the Future? A Workshop Summary Creator An entity primarily responsible for making the resource Sarah A. Felknor, Jessica M. K. Streit, L. Casey Chosewood, Michelle McDaniel, Paul A. Schulte, George L. Delclos, on behalf of the Workshop Presenters and Participants Description An account of the resource Rapid and profound changes anticipated in the future of work will have significant implications for the education and training of occupational safety and health (OSH) professionals and the workforce. As the nature of the workplace, work, and the workforce change, the OSH field must expand its focus to include existing and new hazards (some yet unknown), consider how to protect the health and well-being of a diverse workforce, and understand and mitigate the safety implications of new work arrangements. Preparing for these changes is critical to developing proactive systems that can protect workers, prevent injury and illness, and promote worker well-being. An in-person workshop held on February 3–4, 2020 at The University of Texas Health Science Center (UTHealth) School of Public Health in Houston, Texas, USA, examined some of the challenges and opportunities OSH education will face in both academic and industry settings. The onslaught of the COVID-19 global pandemic reached the United States one month after this workshop and greatly accelerated the pace of change. This article summarizes presentations from national experts and thought leaders across the spectrum of OSH and professionals in the fields of strategic foresight, systems thinking, and industry, and provides recommendations for the field. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource future of work, Training and Education, Total Worker Health^®, expanding occupational safety and health paradigm, occupational safety and health professional Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17197154 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/2936796815e45ce2ecedfebdaa6c807a.pdf 2db71e232dc30b5c40c6e1d781b995cc 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 On Estimating the Number of Deaths Related to Covid-19 Creator An entity primarily responsible for making the resource Hoang Pham Description An account of the resource In this paper, we discuss an explicit model function that can estimate the total number of deaths in the population, and particularly, estimate the cumulative number of deaths in the United States due to the current Covid-19 virus. We compare the modeling results to two related existing models based on a new criteria and several existing criteria for model selection. The results show the proposed model fits significantly better than the other two related models based on the U.S. Covid-19 death data. We observe that the errors of the fitted data and the predicted data points on the total number of deaths in the U.S. on the last available data point and the next coming day are less than 0.5% and 2.0%, respectively. The results show very encouraging predictability for the model. The new model predicts that the maximum total number of deaths will be approximately 62,100 across the United States due to the Covid-19 virus, and with a 95% confidence that the expected total death toll will be between 60,951 and 63,249 deaths based on the data until 22 April, 2020. If there is a significant change in the coming days due to various testing strategies, social-distancing policies, the reopening of community strategies, or a stay-home policy, the predicted death tolls will definitely change. Future work can be explored further to apply the proposed model to global Covid-19 death data and to other applications, including human population mortality, the spread of disease, and different topics such as movie reviews in recommender systems. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, model prediction, model selection, number of death estimation, model criteria Identifier An unambiguous reference to the resource within a given context 10.3390/math8050655 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 Mathematics