1024 10 20655 https://www.socictopen.socict.org/files/original/f9584c7bf7f47366b2de2b658fe18594.pdf 53799c0e37895596c238888aa829313d 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 Lessons to learn: COVID-19 epidemic in Italy Creator An entity primarily responsible for making the resource A. V. Semenov, N. Y. Pshenichnaya Description An account of the resource Here we provide the assessment of COVID-19 epidemic in Italy, which scale has led to serious challenges both for society and national health care system. Despite timely information regarding the pandemic spread of the novel coronavirus infection, the country’s health care was not prepared to dramatically increased rate of patients with viral pneumonia at the first stage of the epidemic, infection control measures were not fully implemented that also led to spread of infection among health care workers. Socially vulnerable population groups did not seek timely medical care due to the lack of hospital facilities as well as well-trained medical personnel. At the second stage of developing epidemic, were also delayed and executed at varying timepoints in neighbor regions, with sustained insufficient management after implementing them that was reflected as ongoing rise of epidemic curve over long time. Delayed execution of anti-epidemic restrictive measures aimed at fighting against ongoing epidemic resulted in substantially increased morbidity and mortality among vulnerable population groups and retarded rate of decreasing COVID-19 epidemic curve. Analyzing response measures taken in Italy against COVID-19 epidemic should be appreciated by other countries while dealing with the current pandemic and preparing to react to novel biological threats in the future. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, Italy, SARS-CoV-2, COVID 2019, Epidemic Curve, epidemic control and response Identifier An unambiguous reference to the resource within a given context 10.15789/2220-7619-LTL-1468 Source A related resource from which the described resource is derived Infekciâ i Immunitet Publisher An entity responsible for making the resource available Sankt-Peterburg : NIIÈM imeni Pastera Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/62ee0ee6b69ca1ee2a1f1a4c20afbb12.pdf 6613771f4ac0e524e16e424a8c8dfa02 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 INSTITUTIONS AS A LETHAL WEAPON: THE CASE OF SLOVENIA IN THE FIRST WAVE OF THE COVID-19 EPIDEMIC Creator An entity primarily responsible for making the resource Vito Flaker Description An account of the resource The Covid-19 epidemic has most affected old people, not those who live at home – but those in old age homes. In Slovenia, as many as four-fifths of those deceased in the epidemic were residents of these institutions. The analysis shows that the essential moment of infection is institutionality, not age, that it is in this sense almost an institutional epidemic. The make-up of total institutions presents a significantly higher risk of transmission of infection – due to increased human concentration and increased frequency of contacts, but also because of the institutional structure and ethos, which objectify residents and deprive residents of the power of action. The deceased residents can be seen as (passive) victims not only of the virus, but also of the institutional nature of the organisation of care (prevailing in Slovenia). This was neglected in the debate so far, the measures introduced did not allow transfer to community care, which would provide residents with the level of safety comparable to the population at large, such services allowing a greater degree of self-isolation and control of contacts.The deceased residents are victims of a delay in deinstitutionalisation and in introduction of a potent, community based long-term care. These are the pressing tasks for the future, if we are to ensure at least safety for old people, and with it a life worth living. 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, long-term care, deinstitutionalisation, Total institutions, old age homes Identifier An unambiguous reference to the resource within a given context doi.org/10.37509/socpol20160108f Source A related resource from which the described resource is derived Revija za socijalna politika Publisher An entity responsible for making the resource available Faculty of Philosophy, Ss. Cyril and Methodius University in Skopje Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sociology (General) https://www.socictopen.socict.org/files/original/4b4de43f7dfd883339c7b353966b5d8a.pdf 9af7f3bdbf5c63a804da2d56a0b39218 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 AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing Creator An entity primarily responsible for making the resource Silvia Liberata Ullo, Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Fabrizio Passarini, Marco Carminati Description An account of the resource The aim of this concept paper is the description of a new tool to support institutions in the implementation of targeted countermeasures, based on quantitative and multi-scale elements, for the fight and prevention of emergencies, such as the current COVID-19 pandemic. The tool is a cloud-based centralized system; a multi-user platform that relies on artificial intelligence (AI) algorithms for the processing of heterogeneous data, which can produce as an output the level of risk. The model includes a specific neural network which is first trained to learn the correlations between selected inputs, related to the case of interest: environmental variables (chemical–physical, such as meteorological), human activity (such as traffic and crowding), level of pollution (in particular the concentration of particulate matter) and epidemiological variables related to the evolution of the contagion. The tool realized in the first phase of the project will serve later both as a decision support system (DSS) with predictive capacity, when fed by the actual measured data, and as a simulation bench performing the tuning of certain input values, to identify which of them led to a decrease in the degree of risk. In this way, we aimed to design different scenarios to compare different restrictive strategies and the actual expected benefits, to adopt measures sized to the actual needs, adapted to the specific areas of analysis and useful for safeguarding human health; and we compared the economic and social impacts of the choices. Although ours is a concept paper, some preliminary analyses have been shown, and two different case studies are presented, whose results have highlighted a correlation between NO2, mobility and COVID-19 data. However, given the complexity of the virus diffusion mechanism, linked to air pollutants but also to many other factors, these preliminary studies confirmed the need, on the one hand, to carry out more in-depth analyses, and on the other, to use AI algorithms to capture the hidden relationships among the huge amounts of data to process. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource artificial intelligence, Sensor networks, satellite remote sensing, risk levels, long short-term memory neural network, COVID-19 counteractions Identifier An unambiguous reference to the resource within a given context 10.3390/ijgi10010034 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 Geography (General) https://www.socictopen.socict.org/files/original/015dcda0876bb50378a6a89055d4fbd7.pdf d54a58d2703607236b4f59cc0cb29f44 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 Trend Dynamics of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission in 16 Cities of Hubei Province, China Creator An entity primarily responsible for making the resource Fawad M, Mubarik S, Malik SS, Hao Y, Yu C, Ren J Description An account of the resource Muhammad Fawad,1,2 Sumaira Mubarik,3 Saima Shakil Malik,4 Yangyang Hao,2 Chuanhua Yu,3 Jingli Ren1 1Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, People’s Republic of China; 2School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, People’s Republic of China; 3Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei 430071, People’s Republic of China; 4Department of Zoology, University of Gujrat, Gujrat 50700, PakistanCorrespondence: Jingli RenHenan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, People’s Republic of ChinaTel +86-13653827917Email renjl@zzu.edu.cnObjective: A severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected by researchers from a patient in Wuhan, Hubei province, China, in December 2019, and broke out in January 2020. Then, the pandemic was detected in countries around the world. Therefore, precise estimates of its current and future trends are highly required for future policy implications.Methods: We retrieved data from the Health Commission of Hubei, China. Logistic-S curve model was used to estimate the current and future trends of SARS-CoV-2-infected cases among 16 cities of Hubei, China from Jan-11 to Feb-24, 2020.Results: Out of 64,287 confirmed cases of SARS-CoV-2 infection in Hubei, higher percentage of cases were in Wuhan and Xiaogan. The highest death percentage was found in Wuhan and Qianjiang. A significant percentage of cures were found in Enshi Prefecture and Huanggang, while Wuhan showed the lowest percentage of cures. Rising trends in infected cases were observed throughout the study period, particularly in Wuhan, and a higher trend was observed after 12-Feb. Gradual decline trend of SARS-CoV-2 cases was observed during Feb-25 to Mar-15 in Hubei Province. Future forecast showed that the average number of SARS-CoV-2-infected cases might be decreased or stable in Hubei in the coming 20 days.Conclusion: The public must take precautionary measures in order to control and prevent disease spread and avoid extra travelling.Keywords: SARS-CoV-2, death, trends, cities, Wuhan, China Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource China, Wuhan, SARS-CoV-2, Death, cities, trends 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 Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/013d16fb005454227d18f734f790de46.pdf 5c475b37c3e86ffda6b2b9bd7cd81673 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 Mesenchymal Stem Cells: A New Piece in the Puzzle of COVID-19 Treatment Creator An entity primarily responsible for making the resource Juliana Lott Carvalho, Felipe Saldanha-Araujo, Felipe Saldanha-Araujo, Emãnuella Melgaço Garcez, Amandda Evelin Silva-Carvalho, Juliana Lott Carvalho Description An account of the resource COVID-19 is a disease characterized by a strong inflammatory response in severe cases, which fails to respond to corticosteroid therapy. In the context of the current COVID-19 outbreak and the critical information gaps regarding the disease, several different therapeutic strategies are under investigation, including the use of stem cells. In the present manuscript, we provide an analysis of the rationale underlying the application of stem cells to manage COVID-19, and also a comprehensive compendium of the 69 clinical trials underway worldwide aiming to investigate the application of stem cells to treat COVID-19. Even though data are still scarce, it is already possible to observe the protagonism of China in testing mesenchymal stem cells (MSCs) for COVID-19. Furthermore, it is possible to determine that current efforts focus on the use of multiple infusions of high numbers of stem cells and derived products, as well as to acknowledge the positive results obtained by independent groups who publicized the therapeutic benefits provided by such therapies in 51 COVID-19 patients. In such a rapid-paced field, up-to-date systematic studies and meta-analysis will aid the scientific community to separate hype from hope and offer an unbiased position to the society and governments. 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, SARS-CoV-2, Clinical trials, Mesenchymal stem cells, stem cell therapy Identifier An unambiguous reference to the resource within a given context 10.3389/fimmu.2020.01563 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 Immunologic diseases. Allergy https://www.socictopen.socict.org/files/original/bc7cab933b616847c71d7c7b06502803.pdf 41498f15dfb93bb2fd5ef20dab3802b0 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 Angiotensin-Converting Enzyme 2 as a Possible Correlation between COVID-19 and Periodontal Disease Creator An entity primarily responsible for making the resource Vincenzo Quinzi, Enrico Marchetti, Giuseppe Marzo, Stefano Mummolo, Leonardo Mancini Description An account of the resource SARS-CoV-2 propagation in the world has led to rapid growth and an acceleration in the discoveries and publications of various interests. The main focus of a consistent number of studies has been the role of angiotensin-converting enzyme 2 (ACE2) in binding the virus and its role in expression of the inflammatory response after transmission. ACE2 is an enzyme involved in the renin–angiotensin system (RAS), whose key role is to regulate and counter angiotensin-converting enzyme (ACE), reducing the amount of angiotensin II and increasing angiotensin 1–7 (Ang1–7), making it a promising drug target for treating cardiovascular diseases. The classical RAS axis, formed by ACE, angiotensin II (Ang II), and angiotensin receptor type 1 (AT1), activates several cell functions and molecular signalling pathways related to tissue injury and inflammation. In contrast, the RAS axis composed of ACE2, Ang1–7, and Mas receptor (MasR) exerts the opposite effect concerning the inflammatory response and tissue fibrosis. Recent studies have shown the presence of the RAS system in periodontal sites where osteoblasts, fibroblasts, and osteoclasts are involved in bone remodelling, suggesting that the role of ACE2 might have a fundamental function in the under- or overexpression of cytokines such as interleukin-6 (IL-6), interleukin-7 (IL-7), tumour necrosis factor alpha (TNF-α), interleukin-2 (IL-2), interleukin-1 beta (IL-1β), monocyte chemoattractant protein-1 (MCP-1), and transforming growth factor-beta (TGF-β), associated with a periodontal disorder, mainly during coinfection with SARS-CoV-2, where ACE2 is underexpressed and cannot form the ACE2–Ang1–7–MasR axis. This renders the patient unresponsive to an inflammatory process, facilitating periodontal loss. 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, inflammation, covid-19, ACE2, periodontitis Identifier An unambiguous reference to the resource within a given context 10.3390/app10186224 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, Engineering (General). Civil engineering (General), Technology, Physics https://www.socictopen.socict.org/files/original/af14cba7aad33760c986408b3220f1d9.pdf 8653408be0dfc2a2195e5d979e798610 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 Immune Response to COVID-19: Can We Benefit from the SARS-CoV and MERS-CoV Pandemic Experience? Creator An entity primarily responsible for making the resource Emilia Sinderewicz, Wioleta Czelejewska, Katarzyna Jezierska-Wozniak, Joanna Staszkiewicz-Chodor, Wojciech Maksymowicz Description An account of the resource The global range and high fatality rate of the newest human coronavirus (HCoV) pandemic has made SARS-CoV-2 the focus of the scientific world. Next-generation sequencing of the viral genome and a phylogenetic analysis have shown the high homology of SARS-CoV-2 to other HCoVs that have led to local epidemics in the past. The experience acquired in SARS and MERS epidemics may prove useful in understanding the SARS-CoV-2 pathomechanism and lead to effective treatment and potential vaccine development. This study summarizes the immune response to SARS-CoV, MERS-CoV, and SARS-CoV-2 and focuses on T cell response, humoral immunity, and complement system activation in different stages of HCoVs infections. The study also presents the quantity and frequency of T cell responses, particularly CD4+ and CD8+; the profile of cytokine production and secretion; and its relation to T cell type, disease severity, and utility in prognostics of the course of SARS, MERS, and COVID-19 outbreaks. The role of interferons in the therapy of these infections is also discussed. Moreover, the kinetics of specific antibody production, the correlation between humoral and cellular immune response and the immunogenicity of the structural HCoVs proteins and their utility in the development of a vaccine against SARS, MERS, and COVID-19 has been updated. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource MERS, SARS, covid-19, SARS-CoV-2, immune system Identifier An unambiguous reference to the resource within a given context 10.3390/pathogens9090739 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 Medicine https://www.socictopen.socict.org/files/original/99a6b9aa00a8588c6843ac330b3aa751.pdf 96ff85e3eaa2185353f0ec653f7cb2bd 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 Unraveling the Epidemiology, Geographical Distribution, and Genomic Evolution of Potentially Lethal Coronaviruses (SARS, MERS, and SARS CoV-2) Creator An entity primarily responsible for making the resource Nosheen Masood, Saima Shakil Malik, Muhammad Naqqi Raja, Sumaira Mubarik, Chuanhua Yu Description An account of the resource SARS CoV appeared in 2003 in China, transmitted from bats to humans via eating infected animals. It affected 8,096 humans with a death rate of 11% affecting 21 countries. The receptor binding domain (RBD) in S protein of this virus gets attached with the ACE2 receptors present on human cells. MERS CoV was first reported in 2012 in Middle East, originated from bat and transmitted to humans through camels. MERS CoV has a fatality rate of 35% and last case reported was in 2017 making a total of 1,879 cases worldwide. DPP4 expressed on human cells is the main attaching site for RBD in S protein of MERS CoV. Folding of RBD plays a crucial role in its pathogenesis. Virus causing COVID-19 was named as SARS CoV-2 due its homology with SARS CoV that emerged in 2003. It has become a pandemic affecting nearly 200 countries in just 3 months' time with a death rate of 2–3% currently. The new virus is fast spreading, but it utilizes the same RBD and ACE2 receptors along with furin present in human cells. The lessons learned from the SARS and MERS epidemics are the best social weapons to face and fight against this novel global threat. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource MERS-CoV, SARS-CoV, DPP-4, covid-19, SARS-CoV-2, ACE2 Identifier An unambiguous reference to the resource within a given context 10.3389/fcimb.2020.00499 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 Microbiology https://www.socictopen.socict.org/files/original/1930d657a089373e3c514859116e01d5.pdf e611414f67969508249764220139e438 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 What about the “Social Aspect of COVID”? Exploring the Determinants of Social Isolation on the Greek Population during the COVID-19 Lockdown Creator An entity primarily responsible for making the resource Evgenia Anastasiou, Marie-Noelle Duquenne Description An account of the resource The COVID-19 pandemic, its duration, and its intensity are harbingers of demographic change. In the context of social demography, it is crucial to explore the social challenge emerging from the coronavirus disease. The main purpose of this study is (i) to explore the determinants that affected the population in Greece in terms of social isolation during the lockdown period and (ii) to examine possible differences in the assessment of the social isolation factors depending on whether individuals live in urban or rural areas or regions with relative geographical isolation. Field research was conducted with 4216 questionnaires during the first wave of COVID-19 (March to April 2020). Multivariate analysis methods were applied to detect the main factors that impacted the feeling of social isolation, and nonparametric tests were performed to detect possible differences between population groups. Despite the resistance shown to the spread of the disease, the Greek population totally complied with the measures of social distancing and thus was socially and psychologically affected. The results indicate that psychosomatic disorders, employment situations, changes in sleep habits, socialization on the Internet, demographic status, health concerns, and trust in government and the media response determine the Greeks’ social isolation feeling. Pandemic and confinement measures have consequences for individuals and social groups and may prejudice social cohesion at multiple levels. By understanding how the pandemic affected the societies, interventions and public policies may be implemented to ensure both social cohesion and populations’ wellbeing by addressing the social isolation feeling. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Social isolation, lockdown, POPULATION, Sociodemographic factors, social demography Identifier An unambiguous reference to the resource within a given context 10.3390/socsci10010027 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 Social Sciences https://www.socictopen.socict.org/files/original/3579304ad8759bcef2d0ec664bf45a4f.pdf bcfa60085238632c5d3918d910e8c8a0 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 Θ-SEIHRD mathematical model of Covid19-stability analysis using fast-slow decomposition Creator An entity primarily responsible for making the resource OPhir Nave, Israel Hartuv, Uziel Shemesh Description An account of the resource In general, a mathematical model that contains many linear/nonlinear differential equations, describing a phenomenon, does not have an explicit hierarchy of system variables. That is, the identification of the fast variables and the slow variables of the system is not explicitly clear. The decomposition of a system into fast and slow subsystems is usually based on intuitive ideas and knowledge of the mathematical model being investigated. In this study, we apply the singular perturbed vector field (SPVF) method to the COVID-19 mathematical model of to expose the hierarchy of the model. This decomposition enables us to rewrite the model in new coordinates in the form of fast and slow subsystems and, hence, to investigate only the fast subsystem with different asymptotic methods. In addition, this decomposition enables us to investigate the stability analysis of the model, which is important in case of COVID-19. We found the stable equilibrium points of the mathematical model and compared the results of the model with those reported by the Chinese authorities and found a fit of approximately 96 percent. 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, Mathematical modeling, covid-19, Stability Analysis, Singular perturbed system Identifier An unambiguous reference to the resource within a given context 10.7717/peerj.10019 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