877 10 20655 https://www.socictopen.socict.org/files/original/5648d0c8c720910e63e46fca0945db1c.pdf 2ed348b0ee0ac04b8ef556c34eb32f1c 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 survivor experiencing long-term symptoms. Creator An entity primarily responsible for making the resource Tony Kirby Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/S2213-2600(21)00092-8 Source A related resource from which the described resource is derived The Lancet. Respiratory medicine https://www.socictopen.socict.org/files/original/29534c390145858c6d6d146fe1e89baf.pdf 8b82dffe0948b0a70ef72873ada9a18f 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 Health status of children with chronic liver disease during the SARS-CoV-2 outbreak: results from a multicentre study"." Creator An entity primarily responsible for making the resource A Di Giorgio, E Nicastro, S Arnaboldi, O Montini, F Di Stasio, L D'Antiga, P Gaio, L N Fovino, M Cananzi, M Pinon, P L Calvo, V Camelli Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Children, covid-19, SARS-CoV-2, Chronic liver disease Identifier An unambiguous reference to the resource within a given context 10.1016/j.clinre.2020.101610 Source A related resource from which the described resource is derived Clinics and research in hepatology and gastroenterology https://www.socictopen.socict.org/files/original/aba7bb1269acde3f91f73e02c1f3ffe2.pdf 63a0ff9ed3e34116ed4d8089a888068c 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 Ensuring the Quality and Appropriate Use of Hand Sanitizers During the COVID-19 Pandemic: Suggestions and Recommendations With the Role of the Pharmacist. Creator An entity primarily responsible for making the resource Abrar Ahmad, Tauqeer Hussain Mallhi, Yusra Habib Khan, Khayal Muhammad, Muhammad Hammad Butt, Shahzadi Misbah, Zafar Iqbal Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource recommendations, covid-19, SARS-CoV-2, Quality, hand sanitizers Identifier An unambiguous reference to the resource within a given context 10.1017/dmp.2021.55 Source A related resource from which the described resource is derived Disaster medicine and public health preparedness https://www.socictopen.socict.org/files/original/161c85806813d236734187922db0fb76.pdf 8d85293ffd13be6d5c4a6e1066430e31 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 Elective orthopedic surgery during COVID-19. Creator An entity primarily responsible for making the resource Haoyan Zhong, Jashvant Poeran, Jiabin Liu, Brian D Sites, Lauren A Wilson, Stavros G Memtsoudis 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, Outcomes, Postoperative complications Identifier An unambiguous reference to the resource within a given context 10.1136/rapm-2021-102490 Source A related resource from which the described resource is derived Regional anesthesia and pain medicine https://www.socictopen.socict.org/files/original/3026072c023ce016435c45609f06641a.pdf 260e5e0075e0b30c60b34194f724c502 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 Letter to the Editor on Visitation restrictions: is it right and how do we support families in the NICU during COVID 19?"" Creator An entity primarily responsible for making the resource D V Venkatesh Murthy, N Karthik Nagesh Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41372-021-00959-1 Source A related resource from which the described resource is derived Journal of perinatology : official journal of the California Perinatal Association https://www.socictopen.socict.org/files/original/c108417a9d1155e64d960052bd87e4c0.pdf aeaaf10534e1b38fb8a390f3caa9ef40 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 Mechanisms for substance use disorders in COVID-19. Creator An entity primarily responsible for making the resource Zhicheng Lin Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41380-021-01041-0 Source A related resource from which the described resource is derived Molecular psychiatry https://www.socictopen.socict.org/files/original/e27bcd8d5504c2c529e9fdd0e16f7074.pdf ad8727c2c9d4d7d3e60e2cd93dfff5f7 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 rise of point-of-care genetics: how the SARS-CoV-2 pandemic will accelerate adoption of genetic testing in the acute setting. Creator An entity primarily responsible for making the resource John H McDermott, John Burn, Dian Donnai, William G Newman Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41431-021-00816-x Source A related resource from which the described resource is derived European journal of human genetics : EJHG https://www.socictopen.socict.org/files/original/14ae35c320817be1d95d815a160b24c4.pdf ae34ff0c28cae37f568b2b95b602d7dd 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 Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images. Creator An entity primarily responsible for making the resource Sheetal Rajpal, Navin Lakhyani, Ayush Kumar Singh, Rishav Kohli, Naveen Kumar Description An account of the resource Coronaviruses are a family of viruses that majorly cause respiratory disorders in humans. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new strain of coronavirus that causes the coronavirus disease 2019 (COVID-19). WHO has identified COVID-19 as a pandemic as it has spread across the globe due to its highly contagious nature. For early diagnosis of COVID-19, the reverse transcription-polymerase chain reaction (RT-PCR) test is commonly done. However, it suffers from a high false-negative rate of up to 67% if the test is done during the first five days of exposure. As an alternative, research on the efficacy of deep learning techniques employed in the identification of COVID-19 disease using chest X-ray images is intensely pursued. As pneumonia and COVID-19 exhibit similar/ overlapping symptoms and affect the human lungs, a distinction between the chest X-ray images of pneumonia patients and COVID-19 patients becomes challenging. In this work, we have modeled the COVID-19 classification problem as a multiclass classification problem involving three classes, namely COVID-19, pneumonia, and normal. We have proposed a novel classification framework which combines a set of handpicked features with those obtained from a deep convolutional neural network. The proposed framework comprises of three modules. In the first module, we exploit the strength of transfer learning using ResNet-50 for training the network on a set of preprocessed images and obtain a vector of 2048 features. In the second module, we construct a pool of frequency and texture based 252 handpicked features that are further reduced to a set of 64 features using PCA. Subsequently, these are passed to a feed forward neural network to obtain a set of 16 features. The third module concatenates the features obtained from first and second modules, and passes them to a dense layer followed by the softmax layer to yield the desired classification model. We have used chest X-ray images of COVID-19 patients from four independent publicly available repositories, in addition to images from the Mendeley and Kaggle Chest X-Ray Datasets for pneumonia and normal cases. To establish the efficacy of the proposed model, 10-fold cross-validation is carried out. The model generated an overall classification accuracy of 0.974 ± 0.02 and a sensitivity of 0.987 ± 0.05, 0.963 ± 0.05, and 0.973 ± 0.04 at 95% confidence interval for COVID-19, normal, and pneumonia classes, respectively. To ensure the effectiveness of the proposed model, it was validated using an independent Chest X-ray cohort and an overall classification accuracy of 0.979 was achieved. Comparison of the proposed framework with state-of-the-art methods reveal that the proposed framework outperforms others in terms of accuracy and sensitivity. Since interpretability of results is crucial in the medical domain, the gradient-based localizations are captured using Gradient-weighted Class Activation Mapping (Grad-CAM). In summary, the results obtained are stable over independent cohorts and interpretable using Grad-CAM localizations that serve as clinical evidence. 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, machine learning, deep learning, Classification, chest x-rays, Grad-CAM Identifier An unambiguous reference to the resource within a given context 10.1016/j.chaos.2021.110749 Source A related resource from which the described resource is derived Chaos, solitons, and fractals https://www.socictopen.socict.org/files/original/6db867a8100115f7e357adf7629b687c.pdf 78196ecb6965f6d7c08b9bf7e51f0e45 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 Contribution of Atrial Fibrillation to In-Hospital Mortality in Patients With COVID-19. Creator An entity primarily responsible for making the resource Enrico Guido Spinoni, Marco Mennuni, Andrea Rognoni, Leonardo Grisafi, Crizia Colombo, Veronica Lio, Giulia Renda, Melissa Foglietta, Ivan Petrilli, Damiano D'Ardes, Pier Paolo Sainaghi, Gianluca Aimaretti, Mattia Bellan, Luigi Castello, Gian Carlo Avanzi, Francesco Della Corte, Marco Krengli, Mario Pirisi, Mario Malerba, Andrea Capponi, Sabina Gallina, Sante Donato Pierdomenico, Francesco Cipollone, Giuseppe Patti Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource mortality, hospital, covid-19, risk factor, atrial fibrillation Identifier An unambiguous reference to the resource within a given context 10.1161/CIRCEP.120.009375 Source A related resource from which the described resource is derived Circulation. Arrhythmia and electrophysiology https://www.socictopen.socict.org/files/original/22383e5d9617c85f1ff8ffecc172bee1.pdf 234bac3db6c355fd21e15be95de9977f 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 Mental health of Urban Mothers (MUM) study: a multicentre randomised controlled trial, study protocol Creator An entity primarily responsible for making the resource Ewa Andersson, Liping Zhu, Ganesh Acharya, Simone Eliane Schwank, Ho-Fung Chung, Mandy Hsu, Shih-Chien Fu, Li Du, Hsuan-Ying Huang Description An account of the resource Introduction Mental health disorders are common during pregnancy and the postnatal period and can have serious adverse effects on women and their children. The consequences for global mental health due to COVID-19 are likely to be significant and may have a long-term impact on the global burden of disease. Besides physical vulnerability, pregnant women are at increased risk of mental health problems such as anxiety, depression and post-traumatic stress disorder due to the consequences of social distancing. It can result in altered healthcare routines, less support from the family and friends, and in some cases, partners not being allowed to be present during prenatal visits, labour and delivery. Higher than expected, rates of perinatal anxiety and depression have been already reported during the pandemic. Pregnant women may also feel insecure and worried about the effects of COVID-19 on their unborn child if they get infected during pregnancy. Today, young urban women are used to using internet services frequently and efficiently. Therefore, providing mental health support to pregnant women via internet may be effective in ameliorating their anxiety/depression, reducing the risk of serious mental health disorders, and lead to improved maternal and perinatal outcomes.Overarching aim Our aim is to explore the effectiveness of a web-based psychosocial peer-to-peer support intervention in reducing the risk and severity of perinatal mental health disorders and preventing adverse pregnancy outcomes among pregnant women living in metropolitan urban settings.Methods and analysis We plan to conduct a multicentre prospective randomised controlled trial, Mental health of Urban Mothers trial. Pregnant women living in large metropolitan cities will be recruited using internet-based application through non-profit organisations’ websites. The women who consent will be randomised to receive a web-based peer-to-peer support intervention or usual care. Data will be analysed to identify the effects of intervention on Edinburgh Postnatal Depression Score and Generalised Anxiety Disorder 7 scores as well as pregnancy outcomes. The impact of COVID-19 pandemic on maternal stress will be assesed using Impact Event Scale-R. Any differences in outcomes between cities will be addressed in subgroup analyses.Ethics and dissemination The study will be conducted according to the principles of Good Clinical Practice and will follow the ethical principles of the Declaration of Helsinki. The study protocol has been approved by the ethical review board of Chinese University of Hong Kong (IRB number 2019-8170) and Shanghai Center for Women’s and Children’s Health (international review board (IRB) number 2020-F001-12). The results will be disseminated at national and international scientific conferences, published in peer-reviewed medical journals and spread to the public through social media, news outlets and podcasts.Trial registration number NCT04363177; Trial sponsor Karolinska Institute, CLINTEC, Stockholm, Sweden. 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 10.1136/bmjopen-2020-041133 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