1043 10 20655 https://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://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://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://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://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://socictopen.socict.org/files/original/ce1cb3549a59615977e80df37027cb71.pdf 26909a88c97c629072e798c02b8f2e54 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 Some opportunities for immunotherapy in coronavirus infection Creator An entity primarily responsible for making the resource Areg A. Totolian, V. S. Smirnov Description An account of the resource Here we review means of immunomodulatory therapy for coronavirus infection caused by SARS-CoV-2 (COVID-19). It has been appreciated that highly limited arsenal of relatively effective means and methods of prevention and treatment of the COVID-19 pandemic is available. The goal of our study was to analyze some therapeutic approaches based on available publications for COVID-19 treatment viewed from acting via innate immunity system. Convalescent plasma serotherapy represents one of the means with verified therapeutic efficacy that was accompanied with decreased viral load and relief of the disease symptoms. The drawback of serotherapy results from limited number of potential plasma donors and profound variety in amount of SARS-CoV-2-specific antibodies found in donor plasma. Another approach to COVID-19 therapy is based on using monoclonal antibodies engineered to target specific virus antigenic determinants, most often surface spike antigen. Antibodies blocking such antigen are able to prevent virus entrance into target cells and development of overt infection. On the other hand, there are monoclonal antibodies abrogating production or binding of excessive amounts of pro-inflammatory cytokines, such as IL-6, TNFα, etc., some of which (tocilizumab) have been already tested in COVID-19 therapy, whereas the remaining preparations are being currently investigated and tested. A certain breakthrough in COVID-19 therapy was provided by the well-known drugs chloroquine and dihydrochloroquine, which have proven to be effective as antiviral, anti-inflammatory and immunomodulatory means. Finally, a new multicomponent immunomodulatory preparation Cytovir-3 has been proposed already passed clinical trials and recommended for use in prevention and treatment of influenza and SARS and might have found its own niche in preventing COVID-19, as SARS-CoV-2 also belongs to the group of acute respiratory viruses. Thus, the arsenal of means for COVID-19 prevention and treatment contains the drugs for immunomodulatory therapy and prevention of immune-related disorders developing in response to invasion pathogenic viruses and lowering a risk of possible damage. Hence, correct and scientifically justified use of such remedies will increase overall effectiveness of fight against the coronavirus pandemic. 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, coronavirus, covid-19, chloroquine, monoclonal antibodies, Serotherapy, plasma of convalescents, dihydrochloroquine, cytovir-3 Identifier An unambiguous reference to the resource within a given context 10.15789/2220-7619-SPO-1470 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://socictopen.socict.org/files/original/a6890f5eb9d361cbf5fdf19f420ad0e4.pdf 7ed6139d9d324cc36c263f2ad6789f1a 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 Healthcare Worker’s Mental Health During the Epidemic Peak of COVID-19 [Letter] Creator An entity primarily responsible for making the resource Nugroho HSW, Acob JRU, Martiningsih W Description An account of the resource Heru Santoso Wahito Nugroho,1 Joel Rey Ugsang Acob,2 Wiwin Martiningsih3 1Poltekkes Kemenkes Surabaya, Surabaya, Indonesia; 2Faculty of Nursing, Visayas State University, Baybay, Philippines; 3Nursing Department, Poltekkes Kemenkes Malang, Malang, IndonesiaCorrespondence: Wiwin MartiningsihNursing Department, Poltekkes Kemenkes Malang, Jl. Ijen 77 C, Malang, IndonesiaEmail martini2271@gmail.com We have read the article “Healthcare Worker’s Mental Health and Their Associated Predictors During the Epidemic Peak of COVID-19”. Based on the results, the researchers concluded that healthcare worker’s stress, anxiety and depression are influenced by social-support, working time, discrimination and workplace violence; and not influenced by age, gender, working at designated hospital, medical equipment, patient–physician relations and household transmission- related fears.1   View the original paper by Yang and colleagues Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Anxiety, Stress, Depression, Health worker 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 Psychology, Industrial psychology https://socictopen.socict.org/files/original/3d618002e3323d9b953fda74fe672d01.pdf 9b85cc2dace05f17c37e4a0c339b50b3 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 Optimal Containment Control Strategy of the Second Phase of the COVID-19 Lockdown in Morocco Creator An entity primarily responsible for making the resource Abdessamad Tridane, Omar Zakary, Mostafa Rachik, Mustapha Lhous, El Mostafa Magri Description An account of the resource This work investigates the optimal control of the second phase of the COVID-19 lockdown in Morocco. The model consists of susceptible, exposed, infected, recovered, and quarantine compartments (SEIRQD model), where we take into account contact tracing, social distancing, quarantine, and treatment measures during the nationwide lockdown in Morocco. First, we present different components of the model and their interactions. Second, to validate our model, the nonlinear least-squares method is used to estimate the model’s parameters by fitting the model outcomes to real data of the COVID-19 in Morocco. Next, to investigate the impact of optimal control strategies on this pandemic in the country. We also give numerical simulations to illustrate and compare the obtained results with the actual situation in Morocco. 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, Optimal control, treatment, contact-tracing, lockdown Identifier An unambiguous reference to the resource within a given context 10.3390/app10217559 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://socictopen.socict.org/files/original/2bdd1b0e4afac92c2b417951754b8d5a.pdf d0a3e40158b824f64750923d887e0040 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 Bioinformatic study to discover natural molecules with activity against COVID-19 [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Sweta Singh, Hector Florez Description An account of the resource Background: In 2020, the world has struggled to deal with coronavirus disease 2019 (COVID-19), which started in 2019 in China and has spread throughout the globe, affecting at least 31,175,835 humans globally and claiming 962,634 lives reported till 22nd September, 2020 by the World Health Organization. The main causative agent for this disease is known as severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). So far, there is no cure or proven therapeutics available till date. Therefore, we undertook this study to find the most probable drug candidate through a bioinformatics study. Methods: Thus, we virtually screened the Zinc natural database using HTVS tool through molecular docking studies to analyze molecules recommended for the treatment of COVID-19. Results: Ramipril benzyl ester, propafenone dimer and Lariciresinol are three important drugs found from the present study due to their medicinal application which could be helpful in treating the disease. Stylopine, quillaic acid, cinobufagin, vitisinol C, segetalin A, scopolamine, 3-oxo glycyrrhetinic acid, conchinone B, lactimidomycin and cardinalins 4 are the other lead molecules that could be used as therapeutics against COVID-19 disease. Conclusions: The studied molecules could act as an effective inhibitory drug against COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.12688/f1000research.26731.1 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://socictopen.socict.org/files/original/ee9326e0a29442bdb39b56da03c4d888.pdf 601d44496bf9bd9c2d44c5afda905a36 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 COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily Creator An entity primarily responsible for making the resource Tiziana Campisi, Giovanni Tesoriere, Dario Ticali, Socrates Basbas, Anastasios Skoufas, Nurten Akgün Description An account of the resource The COVID-19 pandemic has resulted in unprecedented measures changing travel habits in many countries. Many users have started to prefer traveling by private cars, which is against the sustainability policies of the European cities. The necessity of gaining a deeper understanding of road users’ travel habit changes, their feelings on public transport use, and their perceptions of using sustainable urban mobility modes has emerged for future transport planning. Considering these facts, the study in this paper aimed to investigate the influence of the COVID-19 pandemic on road users’ perceptions, needs, and use of sustainable travel modes (i.e., public transport, walking, and cycling). An online survey was carried out during the period from March to May 2020 in the case study area, Sicily of Southern Italy. Regarding the population of the case study, the survey was representative, with 431 individuals. The survey included variables, namely gender, age, city of residence, private car ownership, walking and cycling frequency before and during the pandemic, public transport use frequency for leisure activities before and during the pandemic, need for remote working, and the stress and anxiety perception of using public transport during the pandemic. The analysis started with descriptive statistics and it was followed by correlation analysis in order to explore the characteristics of the dataset and relationship between variables. It was found that these were not statistically significantly correlated at a 95% confidence level. An ordinal regression model was applied for determining the predictions. The results suggested that women were less likely to walk during the pandemic than men. Participants were more likely to resume remote work even after the second phase in order to reduce their daily travel needs and keep their isolation. Participants have expressed a positive opinion on the use of micromobility during pandemic situations. These results can be considered as a basis for sustainable urban planning and a guide for decision-makers who aim to encourage the use of public transport, walking, cycling, and micromobility. 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, ordinal regression model, sustainable mobility modes, transport resilience Identifier An unambiguous reference to the resource within a given context 10.3390/su12218829 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 Environmental effects of industries and plants, Renewable energy sources, Environmental sciences