536 10 20655 https://www.socictopen.socict.org/files/original/c065b127a8ab7d51159e7dfbd46b3086.pdf 2e30b428c8c5d35d66e14ac7b5e10f8a 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 Experience in Using the Non-Traditional Monetary Policy by the European Central Bank Creator An entity primarily responsible for making the resource Shuba Olena А. Description An account of the resource The article is aimed at studying the experience of using the non-traditional monetary policy by the European Central Bank. The standard instruments of monetary policy of the European Central Bank are provided: open market transactions, permanent operating mechanisms, and minimal redundancy on the accounts of central banks. The relationship between the accounting rate and the level of inflation in the Eurozone is determined by means of correlation analysis. The correlation ratio is 0.71, indicating the impact of the accounting rate on the level of inflation, albeit with a certain time lag. The impact of the long-term interest rates on government bonds on the rate of GDP growth in the Eurozone countries is considered. A calculation of the pair correlation ratio between these indicators showed that the correlation ratio is 0.00468, i.e., interest rates on government long-term bonds in the Eurozone do not affect the change in GDP growth. It is determined that during the last global financial crisis there was a need to use new, or non-traditional, methods of monetary policy regulation. These include the following: measures of quantitative easing; measures of credit weakening; measures of public debt management policy; exchange rate policy measures; bank reserves policy measures, monetary policy measures. It is determined that the European Central Bank is currently examining all possible monetary policy instruments in order to mitigate the impact of the coronavirus on the economy, but nowadays the single monetary policy in the Eurozone, may this also be non-traditional, does not allow to align existing imbalances. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource monetary policy, European Central Bank, accounting rate, non-traditional monetary policy instruments Identifier An unambiguous reference to the resource within a given context 10.32983/2222-4459-2020-8-20-25 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 Business https://www.socictopen.socict.org/files/original/6bd5724ff73884ceadf51feb608284cc.pdf c3e6812b830ea4f891beba5918cdfd47 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 living systematic review protocol for COVID-19 clinical trial registrations [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Brittany J. Maguire, Philippe J. Guérin Description An account of the resource Since the coronavirus disease 2019 (COVID-19) outbreak was identified in December 2019 in Wuhan, China, a strong response from the research community has been observed with the proliferation of independent clinical trials assessing diagnostic methods, therapeutic and prophylactic strategies. While there is no intervention for the prevention or treatment of COVID-19 with proven clinical efficacy to date, tools to distil the current research landscape by intervention, level of evidence and those studies likely powered to address future research questions is essential. This living systematic review aims to provide an open, accessible and frequently updated resource summarising the characteristics of COVID-19 clinical trial registrations. Weekly search updates of the WHO International Clinical Trials Registry Platform (ICTRP) and source registries will be conducted. Data extraction by two independent reviewers of trial characteristic variables including categorisation of trial design, geographic location, intervention type and targets, level of evidence and intervention adaptability to low resource settings will be completed. Descriptive and thematic synthesis will be conducted. A searchable and interactive visualisation of the results database will be created, and made openly available online. Weekly results from the continued search updates will be published and made available on the Infectious Diseases Data Observatory (IDDO) website (COVID-19 website). This living systematic review will provide a useful resource of COVID-19 clinical trial registrations for researchers in a rapidly evolving context. In the future, this sustained review will allow prioritisation of research targets for individual patient data meta-analysis. 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 10.12688/wellcomeopenres.15821.1 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 Science, Medicine https://www.socictopen.socict.org/files/original/54e445b0c949b20970c14a9a9e8c4998.pdf 1530cef3eb64a2b0739352f42d1d522e 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 local COVID-19 spread in Heidelberg [version 1; peer review: 1 approved, 2 approved with reservations] Creator An entity primarily responsible for making the resource Lisa Koeppel, Claudius Gottschalk, Andreas Welker, Britta Knorr, Claudia M. Denkinger Description An account of the resource Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures. 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 10.12688/f1000research.23034.1 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 Science, Medicine https://www.socictopen.socict.org/files/original/ad78fa2cff49380bec48d416d440528c.pdf 9f80413dfcdbbcf2eabb4fae5a1085b0 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 Transforming a General Hospital to an Infectious Disease Hospital for COVID-19 Over 2 Weeks Creator An entity primarily responsible for making the resource Pankaj Malhotra, Navin Pandey, Vipin Kaushal, Goverdhan Dutt Puri, Sunil Taneja, Manisha Biswal, Pranay Mahajan, Rashmi Ranjan Guru, Inderpaul Singh Sehgal, Sahajal Dhooria, Valliappan Muthu, Ritesh Agarwal Description An account of the resource Pandemics like the coronavirus disease (COVID)-19 can cause a significant strain on the healthcare system. Healthcare organizations must be ready with their contingency plans for managing many patients with contagious infectious disease. Ideally, every large hospital should have a facility that can function as a high-level isolation unit. An isolation unit ensures that the healthcare staff and the hospital are equipped to deal with infectious disease outbreaks. Unfortunately, such facilities do not exist in several hospitals, especially in resource-limited settings. In such a scenario, healthcare setups need to convert their existing general structure into an infectious disease facility. Herein, we describe our experience in transforming a general hospital into a functional infectious disease isolation unit. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Infection control, covid-19, Hospital management, Infectious disease hospital, isolation unit Identifier An unambiguous reference to the resource within a given context 10.3389/fpubh.2020.00382 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/726e0e9a5da196541c320e6a5f97e64e.pdf a07d7a7ebaa4af8df1b04e24600e3bb7 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 Daily Situation Report on Coronavirus disease (COVID-19) in Iran (Modeling Deaths); March 22, 2020 Creator An entity primarily responsible for making the resource . National Committee on COVID-19 Epidemiology Description An account of the resource To forecast the epidemic trend in Iran, a set of dynamic models were created. In these models, the effect of climate and community behavior change on the reproductive number is modeled. A baseline scenario is also defined as letting the epidemic grow naturally, with no prevention/control interventions. Different levels of intervention are also defined based on the extent of population isolation. Outcomes of each scenario on the number of infected cases are computed. Modeling results shows that if effective isolation occurs in 10% of the population, 307,000 individuals will be infected with COVID-19 in Iran by May 20, 2020. For an isolation rate of 25%, started since March 10, 2020, cumulative number of deaths will be 13,450 individuals by May 20, 2020. If preventive efforts can reach a 32% effective isolation rate, a considerable decrease in the number of new cases would be expected during April and May, and the total number of deaths would decrease to 8,630. If the isolation rate increases to 40%, the total number of infected individuals is expected to be 6,030 individuals. It should be acknowledged that this model predicts the number of deaths of all COVID-19 cases, including those who will not be confirmed as COVID-19, because of non-testing or death prior to COVID-19 identification. This serious health issue requires both long-term and short-term planning and arrangements. Social distancing, and identification and isolation of suspected and confirmed cases are believed to be the most important and effective control measure, and should be strengthened soon. For further details on the methodology and results of these models, please visit: http://corona.behdasht.gov.ir/files/site1/files/Covid_Modeling_V14_26.12.98.pdf Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource epidemiology, covid-19, pandemics, severe acute respiratory syndrome coronavirus 2, Hospital mortality, Health information exchange Identifier An unambiguous reference to the resource within a given context 10.22037/aaem.v8i1.619 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 Medical emergencies. Critical care. Intensive care. First aid https://www.socictopen.socict.org/files/original/da0478e4b43f95ce53a96a1651b1ddce.pdf fc3b76c90107a1ef98caed5db19dec4d 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 Rapid, Simple, Inexpensive, and Mobile Colorimetric Assay COVID-19-LAMP for Mass On-Site Screening of COVID-19 Creator An entity primarily responsible for making the resource Franklin Wang-Ngai Chow, Tony Tat-Yin Chan, Anthony Raymond Tam, Suhui Zhao, Weiming Yao, Joshua Fung, Flora Ka-Kei Cheng, George Chi-Shing Lo, Stella Chu, Kam Leng Aw-Yong, James Yat-Man Tang, Chi-Ching Tsang, Hayes Kam-Hei Luk, Antonio Cheuk-Pui Wong, Kenneth Sze-Ming Li, Longchao Zhu, Zirong He, Emily Wan Ting Tam, Tom Wai-Hin Chung, Sally Cheuk Ying Wong, Tak-Lun Que, Kitty Sau-Chun Fung, David Christopher Lung, Alan Ka-Lun Wu, Ivan Fan-Ngai Hung, Patrick Chiu-Yat Woo, Susanna Kar-Pui Lau Description An account of the resource To control the COVID-19 pandemic and prevent its resurgence in areas preparing for a return of economic activities, a method for a rapid, simple, and inexpensive point-of-care diagnosis and mass screening is urgently needed. We developed and evaluated a one-step colorimetric reverse-transcriptional loop-mediated isothermal amplification assay (COVID-19-LAMP) for detection of SARS-CoV-2, using SARS-CoV-2 isolate and respiratory samples from patients with COVID-19 (n = 223) and other respiratory virus infections (n = 143). The assay involves simple equipment and techniques and low cost, without the need for expensive qPCR machines, and the result, indicated by color change, is easily interpreted by naked eyes. COVID-19-LAMP can detect SARS-CoV-2 RNA with detection limit of 42 copies/reaction. Of 223 respiratory samples positive for SARS-CoV-2 by qRT-PCR, 212 and 219 were positive by COVID-19-LAMP at 60 and 90 min (sensitivities of 95.07% and 98.21%) respectively, with the highest sensitivities among nasopharyngeal swabs (96.88% and 98.96%), compared to sputum/deep throat saliva samples (94.03% and 97.02%), and throat swab samples (93.33% and 98.33%). None of the 143 samples with other respiratory viruses were positive by COVID-19-LAMP, showing 100% specificity. Samples with higher viral load showed shorter detection time, some as early as 30 min. This inexpensive, highly sensitive and specific COVID-19-LAMP assay can be useful for rapid deployment as mobile diagnostic units to resource-limiting areas for point-of-care diagnosis, and for unlimited high-throughput mass screening at borders to reduce cross-regional transmission. 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, Diagnosis, SARS-CoV-2, RT-LAMP, Mass Screening, on-site screening Identifier An unambiguous reference to the resource within a given context 10.3390/ijms21155380 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 Biology (General), Chemistry https://www.socictopen.socict.org/files/original/22fcb0bcdf83f16fd6ff88e6f327c2da.pdf c82ce2ce6a8d91516f333c29e23ab4e4 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 Changes in Demographic and Diagnostic Spectra of Patients with Neurological Symptoms Presenting to an Emergency Department During the COVID-19 Pandemic: A Retrospective Cohort Study Creator An entity primarily responsible for making the resource Hoyer C, Grassl N, Bail K, Stein P, Ebert A, Platten M, Szabo K Description An account of the resource Carolin Hoyer, Niklas Grassl, Kathrin Bail, Patrick Stein, Anne Ebert, Michael Platten, Kristina Szabo Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), Heidelberg University, Mannheim, GermanyCorrespondence: Carolin HoyerDepartment of Neurology, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68 167 Mannheim, GermanyTel +49-621-383-5268Fax +49-621-383-3807Email carolin.hoyer@umm.deObjective: To analyse the characteristics of patients with neurological complaints seeking evaluation in an interdisciplinary emergency department (ED) during the rise of the COVID-19 pandemic in Germany.Methods: In this retrospective study, data on the number of ED presentations due to neurological complaints in weeks 1&ndash; 15/2020 were collected. In addition, hospital chart data of patients referred for neurological evaluation during weeks 12&ndash; 15/2020 when the pandemic began impacting on public life in Germany were analysed regarding demographic information, chief complaints, modes of presentation and disposition and ED discharge diagnosis. Both data sets were compared to respective periods from 2017.Results: During the surge of COVID-19, we found a significant decrease of the total number of neurological ED patients by 47.6%. Comparing weeks 12&ndash; 15 of 2017 and 2020, we found a decrease in the number of patients of &lt; 30 years (p&lt; 0.001) and an increase of those 70 years (p&lt; 0.001). A higher proportion of patients were admitted to escalated care (p=0.03), and fewer patients were discharged against medical advice (p&lt; 0.001). In addition, the ratio of less acute diagnoses (eg, benign headaches) declined significantly.Conclusion: Our findings suggest that the pandemic has contributed to a &ndash; potentially transient &ndash; reframing of laypeople&rsquo;s perception of urgency and necessity for emergency presentation. The establishment and promotion of health-care structures and services like telemedical consultations and the creation of safe ED environments will be essential to enable adequate delivery of care in potential future waves of the pandemic.Keywords: pandemics, COVID-19, emergency neurology 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, pandemics, Emergency neurology 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 Neurology. Diseases of the nervous system, Neurosciences. Biological psychiatry. Neuropsychiatry https://www.socictopen.socict.org/files/original/f090bc6556be7521ae923b0c4aff9623.pdf 56598161fd9f9d4618d087a3a7de57a3 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 Use of Digital Health in the Detection and Management of COVID-19 Creator An entity primarily responsible for making the resource Meshari F. Alwashmi Description An account of the resource Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource infectious disease, covid-19, Digital health, mHealth Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17082906 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/8bd40e7a4204c35404c7690c8721659f.pdf c8c76d0f843cba9564066e7b582bb22c 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 Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19 Creator An entity primarily responsible for making the resource María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, Javier Ochoa-Orihuel Description An account of the resource The use of advanced learning technologies in a learning management system (LMS) can greatly assist learning processes, especially when used in university environments, as they promote the development of Self-Regulated learning, which increases academic performance and student satisfaction towards personal learning. One of the most innovative resources that an LMS may have is an Intelligent Personal Assistant (IPA). We worked with a sample of 109 third-grade students following Health Sciences degrees. The aims were: (1) to verify whether there will be significant differences in student access to the LMS, depending on use versus non-use of an IPA. (2) To verify whether there will be significant differences in student learning outcomes depending on use versus non-use of an IPA. (3) To verify whether there will be significant differences for student satisfaction with teaching during the COVID-19 pandemic, depending on use versus non-use of an IPA. (4) To analyze student perceptions of the usefulness of an IPA in the LMS. We found greater functionality in access to the LMS and satisfaction with teaching, especially during the health crisis, in the group of students who had used an IPA. However, both the expansion of available information and the usability of the features embedded in an IPA are still challenging issues. 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, Blended learning, advanced-learning technologies, intelligent personal assistant Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17155618 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/191648840d01a483cb6a4b205fa15dd0.pdf a0aa1cf1e4ca81d75d6bfdb7d4d9a2ef 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 National Publication Productivity during the COVID-19 Pandemic—A Preliminary Exploratory Analysis of the 30 Countries Most Affected Creator An entity primarily responsible for making the resource Simon M. Müller, Georg F. Mueller, Alexander A. Navarini, Oliver Brandt Description An account of the resource Background: The COVID 19 pandemic increased publication productivity enormously with numerous new COVID-19-related articles appearing daily, despite the fact that many health care workers in the partially overburdened national health care systems were faced with major challenges. Methods: In a cross-sectional, observational, retrospective study we compared and correlated 17 epidemiologic, health care system-related and health-economic factors from medical databases and intergovernmental organisations potentially influencing the COVID-19 and non-COVID-19 publication productivity between 1 January and 30 April 2020 amongst the 30 countries most severely affected by the pandemic. These factors were additionally correlated with the national pre-COVID-19 publication rate for the same pre-year period to identify potential changes in the general publication behaviour. Findings: COVID-19 and non-COVID-19 publication rates correlated strongest with access to and quality of health care (ρ = 0.80 and 0.87, p < 0.0001), COVID-19 cases per capita (ρ = 0.78 and 0.72, p < 0.0001), GDP per capita (ρ = 0.69 and 0.76, p < 0.0001), health spending per capita (ρ = 0.61 and 0.73, p < 0.0001) and the pre-COVID-19 Hirsch-Index (ρ = 0.61 and 0.62, p = 0.002 and 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, Pandemic, SARS-CoV-2, research activity, Publication productivity Identifier An unambiguous reference to the resource within a given context 10.3390/biology9090271 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 Biology (General)