407 10 20655 https://www.socictopen.socict.org/files/original/27f5fb112bdee32b44c24b13a795805d.pdf bf1fb281603166611222944bcb921ab3 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 Critique of Coronavirus Creator An entity primarily responsible for making the resource Elana R. Osen Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Viruses, Zoonoses, coronavirus, Pandemics, COVID-19, 2019 novel coronavirus disease Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid2607.201426 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention 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, Medicine https://www.socictopen.socict.org/files/original/940a33dc201d7752bba81566afd21f31.pdf 3e97ee87df3682b0bc13072ea6d98226 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 Proactive and Strategic Healthcare Public-Private Partnerships (PPPs) in the Coronavirus (Covid-19) Epoch Creator An entity primarily responsible for making the resource David Baxter, Carter B. Casady Description An account of the resource Abstract: The coronavirus (COVID-19) pandemic has overwhelmed many national healthcare systems around the world. In attempts to meet their emergency needs and mitigate escalating challenges, governments are increasingly reaching out to the private sector to form sustainable, public-private partnerships (PPPs). Unfortunately, many of these ad hoc efforts have been reactive and uncoordinated to date. This perspective article thus offers a proactive, collaborative, and strategic vision for healthcare PPPs, focusing on short-, medium-, and long-term proposals that will harmonize strategic objectives and mobilize both public and private resources to combat and build resilience against global pandemics like COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource sustainability, Resilience, healthcare, public/private/partnerships (PPPs), coronavirus covid-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/su12125097 Source A related resource from which the described resource is derived Sustainability Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences, Renewable energy sources, Environmental effects of industries and plants https://www.socictopen.socict.org/files/original/45423b3a969631ed76e74455039b6bde.pdf 70916126fdbadbff9aec27312c8df324 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How Have COVID-19 Isolation Policies Affected Young People’s Mental Health? – Evidence From Chinese College Students Creator An entity primarily responsible for making the resource Bo Chen, Yi Feng, Jin-Lu Sun Description An account of the resource The breakout of COVID-19 has brought about huge influence on people’s physic and mental health. This paper aims to investigate the mental health status of young people living in isolation due to the policy response to Coronavirus disease. Nine hundred ninety-two Chinese college students (Mage = 19.45, SD = 1.41) were recruited to finish an online survey in the period of self-isolation. Seven dimensions of psychological well-being were measured, including mental status, knowledge of stress management, behavioral patterns, risk perception, academic stress, family relationships, and peer relationships. Results of cluster analysis indicated that young individuals’ mental status can be divided into three groups: high-risk (n = 61, Mage = 19.26, SD = 1.32), medium-risk (n = 627, Mage = 19.43, SD = 1.38), and low-risk (n = 304, Mage = 19.54, SD = 1.49). Moreover, results of multiple regression showed that the isolation policy has had a complex influence on the symptoms of obsessive-compulsive disorder [F(12, 979) = 44.894, p < 0.001], fear [F(12, 979) = 30.776, p < 0.001], hypochondria [F(12, 979) = 22.530, p < 0.001], depression [F(12, 979) = 39.022, p < 0.001], and neurasthenia [F(12, 979) = 45.735, p < 0.001] via various factors. This paper also proposes a six-step intervention strategy to alleviate young people’s psychological problems while in isolation. It provides practical insights into the psychological interventions in face of the 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 Mental health, psychological interventions, isolation, young people, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fpsyg.2020.01529 Source A related resource from which the described resource is derived Frontiers in Psychology Publisher An entity responsible for making the resource available Frontiers Media S.A. 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 https://www.socictopen.socict.org/files/original/1c6147f9b63bddb4323b6051a50557a5.pdf 3b6f1fe074e9bcbeb28a7d9858635f98 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 Entropy-Based Pandemics Forecasting Creator An entity primarily responsible for making the resource Umberto Lucia, Thomas S. Deisboeck, Giulia Grisolia Description An account of the resource A great variety of natural phenomena follows some statistical distributions. In epidemiology, such as for the current COVID 19 outbreak, it is essential to develop reliable predictions of the evolution of an infectious disease. In particular, a statistical projection of the time of maximum diffusion of infected carriers is fundamental in order to prepare healthcare systems and organize a robust public health response. In this paper, we develop a thermodynamic approach based on the infection statistics related to the total citizenry of a country. It represents a novel tool for evaluating the time of maximum diffusion of an epidemic or 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 Epidemiology, coronavirus, SARS-CoV-2, COVID-19, epidemics/pandemics, non-equilibrium statistical thermodynamics Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fphy.2020.00274 Source A related resource from which the described resource is derived Frontiers in Physics Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Physics https://www.socictopen.socict.org/files/original/f26938359ec4658326b6c9085dafa8eb.pdf 13234cf099773ad29bd3b6abceaa3505 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 KORONAVİRÜSÜN (COVID-19 )FİNANSAL GÖSTERGELER ÜZERİNE ETKİLERİ Creator An entity primarily responsible for making the resource Samet GÜRSOY, Mert Baran TUNÇEL, Burak SAYAR Description An account of the resource Bu çalışmada, Covid-19 Koronavirüs salgınıyla finansal göstergeler arasındaki nedensellik ilişkisini ortaya koymak amaçlanmıştır. Bu bağlamda virüsün ortaya çıktığı ülke olan Çin`in gösterge pay piyasası olan SSEC endeksi bağımlı değişken olarak alınırken bağımsız değişken olarak altın, Brent petrol, Bitcoin ve VIX endeksi verileri kullanılmıştır. Ayrıca her bir bağımlı değişken için bağımsız modellerinde kurulduğu çalışmada 03.01.2017 ile 10.03 .2020 arasındaki günlük veriler (790 Gözlem) kullanılmıştır. Sonrasında yine aynı ülke verileri virüsün tespit edildiği 06.12.2019 ile 10.03.2020 dönemlerini kapsayacak şekilde düzenlenmiştir. Toda-Yamamoto (1995) nedensellik testi kullanılarak korona virüsün finansal göstergeler üzerindeki etkileri araştırılmıştır. Elde edilen analiz sonuçlarına göre, SSEC endeksi ile Altın ve Vıx (korku endeksi) arasında %5 anlamlılık düzeyinde bir nedensellik ilişkisine rastlanmıştır. SSEC endeksinden Altına doğru tek yönlü bir nedensellik olduğu görülürken Vıx (korku endeksi) ile iki taraflı bir nedensellik ilişkisinin olduğu saptanmıştır. Bu sonuçlar çalışmada belirtilen her iki dönem içinde değişim göstermiştir. FakatSSEC endeksi ve altın fiyatları arasındaki ilişkinin anlamlı olmasının yanında 2019 Aralık sonrasında SSEC endeksinin Altın fiyatları üzerinde etkisinin arttığı yönünde bulgulara erişilmiştir. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource petrol, Bitcoin, VIX, Altın, koronavirus Identifier An unambiguous reference to the resource within a given context DOI: 10.46737/emid.730941 Source A related resource from which the described resource is derived Ekonomi Maliye İşletme Dergisi Publisher An entity responsible for making the resource available Adil AKINCI 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, Economics as a science, Finance, Management. Industrial management https://www.socictopen.socict.org/files/original/cd3be247416d523a9165b67afc57aa79.pdf 8222b20094ebef940b8548bae2081b98 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 Is Lockdown Bad for Social Anxiety in COVID-19 Regions?: A National Study in The SOR Perspective Creator An entity primarily responsible for making the resource Xiaojun Zhang, Lei Zheng, Miao Miao, Shu Nie, JiYoon Lim, Maorui Li Description An account of the resource Lockdown measures have been widely used to control and prevent virus transmission in pandemic regions. However, the psychological effects of lockdown measures have been neglected, and the related theoretical research lags behind the practice. The present study aimed to better understand the mechanism of social anxiety in pandemic regions where the lockdown measures were imposed, based on the conceptual framework of the Stimulus-Organism-Response (SOR). For that, this research investigated how lockdown measures and psychological distance influenced social anxiety in the pandemic region. The Chinese national data was analyzed for the outcome. The results showed that (1) psychological distance mediated the relationship between pandemic COVID-19 severity and social anxiety, (2) lockdown measures buffered the detrimental effect of the COVID-19 pandemic severity on social anxiety, (3) lockdown measures moderated the mediation effect of psychological distancing on social anxiety caused by the COVID-19 pandemic. In conclusion, under the SOR framework, the lockdown measures had a buffer effect on social anxiety in pandemic regions, with the mediating role of psychological distancing. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Anxiety, S-O-R model, Pandemic COVID-19, lockdown measures Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17124561 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/d852242a85e6b707a100000a8e782340.pdf aa1602b3e86545ed7dc226503af4b61a 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 Metapopulation Network Models for Understanding, Predicting, and Managing the Coronavirus Disease COVID-19 Creator An entity primarily responsible for making the resource Johnie Rose, Daniela Calvetti, Alexander P. Hoover, Erkki Somersalo Description An account of the resource Mathematical models of SARS-CoV-2 (the virus which causes COVID-19) spread are used for guiding the design of mitigation steps and helping identify impending breaches of health care system surge capacity. The challenges of having only lacunary information about daily new infections and mortality counts are compounded by geographic heterogeneity of the population. This complicates prediction, particularly when using models assuming well-mixed populations. To address this problem, we account for the differences between rural and urban settings using network-based, distributed models where the spread of the pandemic is described in distinct local cohorts with nested SE(A)IR models, i.e., modified SEIR models that include infectious asymptomatic individuals. The model parameters account for the SARS-CoV-2 transmission mostly via human-to-human contact, and the fact that contact frequency among individuals differs between urban and rural areas, and may change over time. The probability that the virus spreads into an uninfected community is associated with influx of individuals from communities where the infection is already present, thus each node is characterized by its internal contact and by its connectivity with other nodes. Census data are used to set up the adjacency matrix of the network, which can be modified to simulate changes in mitigation measures. Our network SE(A)IR model depends on easily interpretable parameters estimated from available community level data. The parameters estimated with Bayesian techniques include transmission rate and the ratio asymptomatic to symptomatic infectious individuals. The methodology predicts that the latter quantity approaches 0.5 as the epidemic reaches an equilibrium, in full agreement with the May 22, 2020 CDC modeling. The network model gives rise to a spatially distributed computational model that explains the geographic dynamics of the contagion, e.g., in larger cities surrounded by suburban and rural areas. The time courses of the infected cohorts in the different counties predicted by the network model are remarkably similar to the reported observations. Moreover, the model shows that monitoring the infection prevalence in each county, and adopting local mitigation measures as infections climb beyond a certain threshold, is almost as effective as blanket measures, and more effective than reducing inter-county mobility. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource particle filter, Uncertainty Quantification, Bayesian parameter estimation, SEIR model, connectivity matrix, predictive envelopes Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fphy.2020.00261 Source A related resource from which the described resource is derived Frontiers in Physics Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Physics https://www.socictopen.socict.org/files/original/1111b289bd68be6602ee3d640f7b7945.pdf a67be5d4d6819dde961960e478c9f5d4 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 Detection of Coronavirus Disease (COVID-19) using Radiological Examinations Creator An entity primarily responsible for making the resource Anees Muhammad, Muhammad Shahzeb, Areena Khan Description An account of the resource An outbreak of Coronavirus disease 2019 (COVID-19) occurred in China. The causative agent of COVID-19is Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The disease rapidly spreads fromChina to the world by trading and traveling. Until April 24, 2020, approximately 2,544,792 cases wereconfirmed with 175,694 deaths throughout the world. The highest number of cases were identifiedfrom the United States of America (USA) whereas the mortality rate is high in Portugal. The diagnosis ofCOVID-19 is based on Computed Tomography Scanning (CT Scan) and Real-Time Reverse TranscriptionPolymerase Chain Reaction (qRT-PCR). Assessing the extension of pathology, the exact location of thearea involved, and assessment of the disease severity makes CT scan superior to other modalities. Thisreview shows that real-time polymerase chain reaction and imaging technology both play an importantrole in the diagnosis of COVID-19. However, imaging modalities have more importance in diagnosisand screening than qRT-PCR. The qRT-PCR was positive in 81.3% whereas CT scan abnormality wasobserved in 89.8%. Bilateral lobe (51.4%) abnormality was found more than a single lobe (21.5%) inCOVID-19 infected patients. The CT scan reports show a high-level abnormality in right lower lung lobethan others in COVID-19 infected patients. The CT scan evaluates different manifestations such as thepresence of ground-glass opacities, consolidations, crazy paying linear, cavitation, discrete nodules,pleural effusion, and lymphadenopathy. It is concluded that imaging technology especially CT scan andX-rays play an important role in the screening and diagnosis of COVID-19 infected patients in limitedaccess to qRT-PCR regions. The common radiological manifestation was also determined, which willbe helpful for the radiologist to diagnosed COVID-19 infected patients in the early stages. Follow upstudies required regarding the radiological examinations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource consolidation, real-time polymerase chain reaction, Ground glass opacity, Computed tomography scanning, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.22207/JPAM.14.SPL1.28 Source A related resource from which the described resource is derived Journal of Pure and Applied Microbiology Publisher An entity responsible for making the resource available Journal of Pure and Applied Microbiology 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/f58e83382a166a4e40ec05d3f4ea5831.pdf 6414e9480ecfc058a424da62c9a4813f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19: Recent updates on SARS-CoV-2 and Preventing its Community Transmission in India by 21 Days Lockdown Creator An entity primarily responsible for making the resource Shivaji T. Mohite, Satyajeet K. Pawar Description An account of the resource The current pandemic of COVID-19 has caused havoc all over world since its emergence and rapidspread. Within three months the virus SARS-CoV-2 which was isolated from pneumonia cases in WuhanCity, Hubei Province, China in late December 2019, has affected almost all countries. India reportedits first case of COVID-19 from state of Kerala on January 30, 2020, a student returned from city ofWuhan. Till date in India the disease had affected 12759 patients with 420 deaths. With every passingday the mysterious virus is been uncovered with its unique characteristics enabling the researcherto unfold the various methods including hand washing and social distancing to curtail the pandemic.Measures like 21 days lockdown to certain extent are effective but considering asymptomatic spreaders,extended measured lockdowns will be useful in the long term war against COVID-19. Till the vaccineand therapeutic solutions are derived, answer to pandemic and SARS-CoV-2 lies in lockdown, socialdistancing, contact tracing and containment. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource PPE, Pandemic, SARS-CoV-2, COVID-19, lockdown Identifier An unambiguous reference to the resource within a given context DOI: 10.22207/JPAM.14.SPL1.29 Source A related resource from which the described resource is derived Journal of Pure and Applied Microbiology Publisher An entity responsible for making the resource available Journal of Pure and Applied Microbiology 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/76fb55a7b6eb5e3df04cf97871474d95.pdf 6c3fe0b862eb0f4ab397214a66fe8d4b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19 Infection in South Korea: Focusing on Age Distribution of Confirmed Cases Creator An entity primarily responsible for making the resource Hyunjoo Joo, Yunjung Kang Description An account of the resource A new kind of respiratory infectious disease, COVID-19, which first occurred in Wuhan, China, onDecember 31st, 2019, has affected all over China. After that, the first case of COVID-19 in South Koreawas confirmed on January 20th, 2020. Currently, on April 7th, the accumulated number of confirmed casesis 10,331, with 6,694 among them released from quarantine. Age distributions among the confirmedcases shows that patients between 20-29 occupy the most portion with 27%. The younger generationsoccupies the highest portion of the confirmed cases. Additionally, as their high infection rate can serveas a risk factor of spreading the disease to their family members, they should actively participate inthe prevention of the disease by thorough practice of social distancing. Their participation is expectedto serve an important role in ending COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Age Distribution, younger generation, social distancing, COVID-19, confirmed cases Identifier An unambiguous reference to the resource within a given context DOI: 10.22207/JPAM.14.SPL1.08 Source A related resource from which the described resource is derived Journal of Pure and Applied Microbiology Publisher An entity responsible for making the resource available Journal of Pure and Applied Microbiology 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