264 10 20655 https://www.socictopen.socict.org/files/original/2b956a50358b369e15107efe27aadc62.pdf 083a0331e4b1eabffbf4620adcb2d8cd 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 Intensive Care Risk Estimation in COVID-19 Pneumonia Based on Clinical and Imaging Parameters: Experiences from the Munich Cohort Creator An entity primarily responsible for making the resource Wolfgang Huber, Ulrike Protzer, Roland M Schmid, Marcus R. Makowski, Gerhard Schneider, Markus Schwaiger, Tobias Lahmer, Christoph D. Spinner, Michael Dommasch, Fabian Geisler, Egon Burian, Rickmer F Braren, Georgios A Kaissis, Fabian K Lohöfer, Friederike Jungmann, Matthias Treiber Description An account of the resource The evolving dynamics of coronavirus disease 2019 (COVID-19) and the increasing infection numbers require diagnostic tools to identify patients at high risk for a severe disease course. Here we evaluate clinical and imaging parameters for estimating the need of intensive care unit (ICU) treatment. We collected clinical, laboratory and imaging data from 65 patients with confirmed COVID-19 infection based on polymerase chain reaction (PCR) testing. Two radiologists evaluated the severity of findings in computed tomography (CT) images on a scale from 1 (no characteristic signs of COVID-19) to 5 (confluent ground glass opacities in over 50% of the lung parenchyma). The volume of affected lung was quantified using commercially available software. Machine learning modelling was performed to estimate the risk for ICU treatment. Patients with a severe course of COVID-19 had significantly increased interleukin (IL)-6, C-reactive protein (CRP), and leukocyte counts and significantly decreased lymphocyte counts. The radiological severity grading was significantly increased in ICU patients. Multivariate random forest modelling showed a mean ± standard deviation sensitivity, specificity and accuracy of 0.72 ± 0.1, 0.86 ± 0.16 and 0.80 ± 0.1 and a receiver operating characteristic-area under curve (ROC-AUC) of 0.79 ± 0.1. The need for ICU treatment is independently associated with affected lung volume, radiological severity score, CRP, and IL-6. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Computed tomography, Intensive care unit, clinical parameters, radiological parameters, COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9051514 Source A related resource from which the described resource is derived Journal of Clinical Medicine Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/1715c1513e2377c9e99cedddb48d3f10.pdf 3dc4aae0747f6aa83d63cf920ef0a1de 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 Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea Creator An entity primarily responsible for making the resource Mohamed Abdelaziz, Hong Fan, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Laith Abualigah Description An account of the resource The current pandemic of the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and researchers. The vast increase in infected people is a significant challenge for each country and the international community in general. The prediction and forecasting of the number of infected people (so-called confirmed cases) is a critical issue that helps in understanding the fast spread of COVID-19. Therefore, in this article, we present an improved version of the ANFIS (adaptive neuro-fuzzy inference system) model to forecast the number of infected people in four countries, Italy, Iran, Korea, and the USA. The improved version of ANFIS is based on a new nature-inspired optimizer, called the marine predators algorithm (MPA). The MPA is utilized to optimize the ANFIS parameters, enhancing its forecasting performance. Official datasets of the four countries are used to evaluate the proposed MPA-ANFIS. Moreover, we compare MPA-ANFIS to several previous methods to evaluate its forecasting performance. Overall, the outcomes show that MPA-ANFIS outperforms all compared methods in almost all performance measures, such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Squared Relative Error (RMSRE), and Coefficient of Determination( R 2 ). For instance, according to the results of the testing set, the R 2 of the proposed model is 96.48%, 98.59%, 98.74%, and 95.95% for Korea, Italy, Iran, and the USA, respectively. More so, the MAE is 60.31, 3951.94, 217.27, and 12,979, for Korea, Italy, Iran, and the USA, respectively. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource forecasting, ANFIS, SARS-CoV-2, COVID-19, marine predators algorithm (MPA) Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17103520 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/195fdcb2fd99e1f23e0549ec21d66b83.pdf ef423d876f8ae8703fb5d3186ae90518 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 Distribution of the SARS-CoV-2 Pandemic and Its Monthly Forecast Based on Seasonal Climate Patterns Creator An entity primarily responsible for making the resource Nicola Scafetta Description An account of the resource This paper investigates whether the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) pandemic could have been favored by specific weather conditions and other factors. It is found that the 2020 winter weather in the region of Wuhan (Hubei, Central China)—where the virus first broke out in December and spread widely from January to February 2020—was strikingly similar to that of the Northern Italian provinces of Milan, Brescia and Bergamo, where the pandemic broke out from February to March. The statistical analysis was extended to cover the United States of America, which overtook Italy and China as the country with the highest number of confirmed COronaVIrus Disease 19 (COVID-19) cases, and then to the entire world. The found correlation patterns suggest that the COVID-19 lethality significantly worsens (4 times on average) under weather temperatures between 4 ∘ C and 12 ∘ C and relative humidity between 60% and 80%. Possible co-factors such as median population age and air pollution were also investigated suggesting an important influence of the former but not of the latter, at least, on a synoptic scale. Based on these results, specific isotherm world maps were generated to locate, month by month, the world regions that share similar temperature ranges. From February to March, the 4–12 ∘ C isotherm zone extended mostly from Central China toward Iran, Turkey, West-Mediterranean Europe (Italy, Spain and France) up to the United State of America, optimally coinciding with the geographic regions most affected by the pandemic from February to March. It is predicted that in the spring, as the weather gets warm, the pandemic will likely worsen in northern regions (United Kingdom, Germany, East Europe, Russia and North America) while the situation will likely improve in the southern regions (Italy and Spain). However, in autumn, the pandemic could come back and affect the same regions again. The Tropical Zone and the entire Southern Hemisphere, but in restricted colder southern regions, could avoid a strong pandemic because of the sufficiently warm weather during the entire year and because of the lower median age of their population. Google-Earth-Pro interactive-maps covering the entire world are provided as supplementary files. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource weather conditions, Climatic zones, SARS-CoV-2, COVID-19, Epidemic forecasting, pandemic geographical distribution Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17103493 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/a932e19eb349370361c90e493551155c.pdf de48ebaebca0d9c3a2bdb22098d99225 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 Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19 Creator An entity primarily responsible for making the resource Fen Wang, Yan Yang, Shujun Zhang, Kun Dong, Xiaoli Shi, Yongli Yan, Xue-Feng Yu, Huihui Ren Description An account of the resource Abstract Background The triglyceride and glucose index (TyG) has been proposed as a marker of insulin resistance. This study aims to evaluate the association of the TyG index with the severity and mortality of coronavirus disease 2019 (COVID-19). Methods The study included a cohort of 151 patients with COVID-19 admitted in a tertiary teaching hospital in Wuhan. Regression models were used to investigate the association between TyG with severity and mortality of COVID-19. Results In this cohort, 39 (25.8%) patients had diabetes, 62 (41.1%) patients were severe cases, while 33 (22.0%) patients died in hospital. The TyG index levels were significantly higher in the severe cases and death group (mild vs. severe 8.7 ± 0.6 vs. 9.2 ± 0.6, P  Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Mortality, Severity, TyG index, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12933-020-01035-2 Source A related resource from which the described resource is derived Cardiovascular Diabetology 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 Diseases of the circulatory (Cardiovascular) system https://www.socictopen.socict.org/files/original/1bd985886915f6eb0a5c637d2e1cd8dd.pdf 408de46b5a5b2d395f32a980c43e7c36 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 vulnerability: the potential impact of genetic susceptibility and airborne transmission Creator An entity primarily responsible for making the resource David C Thompson, Naftali Kaminski, Albert I. Ko, Daniel W. Nebert, Juergen K V Reichardt, Vasilis Vasiliou, Krystal J. Godri Pollitt, Jordan Peccia, Charles S. Dela Cruz Description An account of the resource Abstract The recent coronavirus disease (COVID-19), caused by SARS-CoV-2, is inarguably the most challenging coronavirus outbreak relative to the previous outbreaks involving SARS-CoV and MERS-CoV. With the number of COVID-19 cases now exceeding 2 million worldwide, it is apparent that (i) transmission of SARS-CoV-2 is very high and (ii) there are large variations in disease severity, one component of which may be genetic variability in the response to the virus. Controlling current rates of infection and combating future waves require a better understanding of the routes of exposure to SARS-CoV-2 and the underlying genomic susceptibility to this disease. In this mini-review, we highlight possible genetic determinants of COVID-19 and the contribution of aerosol exposure as a potentially important transmission route of SARS-CoV-2. 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 DOI: 10.1186/s40246-020-00267-3 Source A related resource from which the described resource is derived Human Genomics 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 Genetics, Medicine https://www.socictopen.socict.org/files/original/f94c08be270bfb2b0e6b319e32b07dea.pdf 7d48a19fc0a380c5d913b37c20d11002 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 Impact of SARS-CoV-2 on Inflammatory Bowel Disease Creator An entity primarily responsible for making the resource Fernando Magro, Maria Manuela Estevinho Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Crohn’s disease, ulcerative colitis, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1159/000508114 Source A related resource from which the described resource is derived GE: Portuguese Journal of Gastroenterology Publisher An entity responsible for making the resource available Karger 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 Diseases of the digestive system. Gastroenterology https://www.socictopen.socict.org/files/original/2115d0934080c8e3d2ab268c38c55d76.pdf fc2c5c7755af2adc975a03a7da2ef2ad 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 Pandemic along with Pandemic of Lifestyle-Associated Diseases Victimizes Patients in an Inflammation Context! Creator An entity primarily responsible for making the resource Mohammad-Reza Mahmoudian-Sani, Ali Saeedi-Boroujeni 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 DOI: 10.1159/000508552 Source A related resource from which the described resource is derived Dubai Medical Journal Publisher An entity responsible for making the resource available Karger 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 Medicine https://www.socictopen.socict.org/files/original/9d3d7b1f409c34fe3c092b8efe003ed2.pdf f1fed47d518e4f4903ad11967f29e365 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-based repositioning of the anti-HCV direct antiviral agent Sofosbuvir as SARS-CoV-2 treatment Creator An entity primarily responsible for making the resource Luigi Buonaguro, Franco M. Buonaguro Description An account of the resource Abstract The new human coronavirus named SARS-CoV-2 is a positive-sense RNA virus for which no specific drugs are currently available. A knowledge-based analysis strongly suggests a possible repositioning of the anti-HCV direct antiviral agent (DAA) Sofosbuvir as treatment for SARS-CoV-2. Indeed, the RNA-dependent RNA-polymerases (RdRp) of the two viruses show high sequence and structural homology, supporting the likelihood of binding the Sofosbuvir molecule with similar efficiency. Such a repositioning would allow the containment of the SARS-CoV-2 pandemic and limit the progression of disease to potentially deadly COVID19. 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 DOI: 10.1186/s13027-020-00302-x Source A related resource from which the described resource is derived Infectious Agents and Cancer 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/70c93cc237402343ff49f239a1d8dfad.pdf e1400658f160cc7274a83a1214cc11d4 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 Chiropractic students call for action against unsubstantiated claims Creator An entity primarily responsible for making the resource Joshua Plener, Ben Csiernik, Geronimo Bejarano, Jesper Hjertstrand, Benjamin Goodall Description An account of the resource Abstract Background The 2019 coronavirus pandemic is a current global health crisis. Many chiropractic institutions, associations, and researchers have stepped up at a time of need. However, a subset of the chiropractic profession has claimed that spinal manipulative therapy (SMT) is clinically effective in improving one’s immunity, despite the lack of supporting scientific evidence. These unsubstantiated claims contradict official public health policy reflecting poorly on the profession. The aim of this commentary is to provide our perspective on the claims regarding SMT and clinically relevant immunity enhancement, drawing attention to the damaging ramifications these claims might have on our profession’s reputation. Main text The World Federation of Chiropractic released a rapid review demonstrating the lack of clinically relevant evidence regarding SMT and immunity enhancement. The current claims contradicting this review carry significant potential risk to patients. Furthermore, as a result of these misleading claims, significant media attention and public critiques of the profession are being made. We believe inaction by regulatory bodies will lead to confusion among the public and other healthcare providers, unfortunately damaging the profession’s reputation. The resulting effect on the reputation of the profession is greatly concerning to us, as students. Conclusion It is our hope that all regulatory bodies will protect the public by taking appropriate action against chiropractors making unfounded claims contradicting public health policy. We believe it is the responsibility of all stakeholders in the chiropractic profession to ensure this is carried out and the standard of care is raised. We call on current chiropractors to ensure a viable profession exists moving forward. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Education, Student, regulation, Chiropractic, public safety Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12998-020-00318-5 Source A related resource from which the described resource is derived Chiropractic & Manual Therapies 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 Diseases of the musculoskeletal system, Chiropractic https://www.socictopen.socict.org/files/original/8b2fa8382bdc4fc596418d8c351529b4.pdf 22c7bb6694ea01c8c3dcf807ab76f2ff 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 Demographic and social issues of the pandemic Creator An entity primarily responsible for making the resource Irina E. Kalabikhina Description An account of the resource The article begins with a small paragraph on why it is necessary to carefully assess operational data on morbidity and mortality from coronavirus. Further, the author discusses the complex of possible geo-spatial, demographic, socio-economic, socio-cultural and political factors of unequal impact of morbidity and overmortality from COVID-19 on various social groups and territories; hypothesize about the demographic and gender consequences of the pandemic and its accompanying economic recession in the short-term and long-term period. The author comes to the conclusion that the pandemic will have minor demographic consequences or won’t have any. And despite a number of negative effects, the pandemic offers a window of opportunity for the development of gender equality. 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 DOI: 10.3897/popecon.4.e53891 Source A related resource from which the described resource is derived Население и экономика Publisher An entity responsible for making the resource available Moscow State University, Faculty of Economics Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Economic theory. Demography