271 10 20655 https://www.socictopen.socict.org/files/original/569eb4bd053f08809fab613d974dd1d1.pdf b36fd23f081e3c2314cef067d8bd8d73 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 potential effects of widespread community transmission of SARS-CoV-2 infection in the World Health Organization African Region: a predictive model. Creator An entity primarily responsible for making the resource Michel Yao, Joseph Waogodo Cabore, Humphrey Cyprian Karamagi, Hillary Kipruto, James Avoka Asamani, Benson Droti, Aminata Binetou Wahebine Seydi, Regina Titi-Ofei, Benido Impouma, Zabulon Yoti, Felicitas Zawaira, Prosper Tumusiime, Ambrose Talisuna, Francis Chisaka Kasolo, Matshidiso R Moeti Description An account of the resource The spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been unprecedented in its speed and effects. Interruption of its transmission to prevent widespread community transmission is critical because its effects go beyond the number of COVID-19 cases and deaths and affect the health system capacity to provide other essential services. Highlighting the implications of such a situation, the predictions presented here are derived using a Markov chain model, with the transition states and country specific probabilities derived based on currently available knowledge. A risk of exposure, and vulnerability index are used to make the probabilities country specific. The results predict a high risk of exposure in states of small size, together with Algeria, South Africa and Cameroon. Nigeria will have the largest number of infections, followed by Algeria and South Africa. Mauritania would have the fewest cases, followed by Seychelles and Eritrea. Per capita, Mauritius, Seychelles and Equatorial Guinea would have the highest proportion of their population affected, while Niger, Mauritania and Chad would have the lowest. Of the World Health Organization's 1 billion population in Africa, 22% (16%-26%) will be infected in the first year, with 37 (29 - 44) million symptomatic cases and 150 078 (82 735-189 579) deaths. There will be an estimated 4.6 (3.6-5.5) million COVID-19 hospitalisations, of which 139 521 (81 876-167 044) would be severe cases requiring oxygen, and 89 043 (52 253-106 599) critical cases requiring breathing support. The needed mitigation measures would significantly strain health system capacities, particularly for secondary and tertiary services, while many cases may pass undetected in primary care facilities due to weak diagnostic capacity and non-specific symptoms. The effect of avoiding widespread and sustained community transmission of SARS-CoV-2 is significant, and most likely outweighs any costs of preventing such a scenario. Effective containment measures should be promoted in all countries to best manage the COVID-19 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, Mathematical modelling, health systems Identifier An unambiguous reference to the resource within a given context DOI: 10.1136/bmjgh-2020-002647 Source A related resource from which the described resource is derived BMJ global health https://www.socictopen.socict.org/files/original/c60743122064f09152b5e14e877e8181.pdf 933a8a32089dfcc79c32981aaeba7d0c 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 Optimization of the CDC Protocol of Molecular Diagnosis of COVID-19 for Timely Diagnosis. Creator An entity primarily responsible for making the resource Yihui Huang, Po-Liang Lu, Chu-Feng Wang, Shang-Yi Lin, Shu-kai Lin, Chao-Ju Chen, Li-Ling Hsieh Description An account of the resource Coronavirus disease 2019 (COVID-19), the current uncontrolled outbreak of infectious disease, has caused significant challenges throughout the world. A reliable rapid diagnostic test for COVID-19 is demanded worldwide. The real-time reverse transcriptase polymerase chain was one of the most quickly established methods in the novel viral pandemic and was considered as the gold standard for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this report, we illustrate our experience of applying a protocol from the Taiwan CDC and achieving assay optimization in the immediate circumstances to meet the urgent medical and public health needs. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource molecular diagnostics, Coronavirus disease 2019 (COVID-19), real-time reverse transcriptase polymerase chain (RT-PCR), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/diagnostics10050333 Source A related resource from which the described resource is derived Diagnostics Publisher An entity responsible for making the resource available MDPI AG https://www.socictopen.socict.org/files/original/e8013c85466a63c8b0555f58f2ce876a.pdf 153f0afbdf012da33b2c76260a513d5a 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 Evaluation of the potential incidence of COVID-19 and effectiveness of containment measures in Spain: a data-driven approach. Creator An entity primarily responsible for making the resource Yamir Moreno, Alberto Aleta Description An account of the resource We are currently experiencing an unprecedented challenge, managing and containing an outbreak of a new coronavirus disease known as COVID-19. While China-where the outbreak started-seems to have been able to contain the growth of the epidemic, different outbreaks are nowadays present in multiple countries. Nonetheless, authorities have taken action and implemented containment measures, even if not everything is known. To facilitate this task, we have studied the effect of different containment strategies that can be put into effect. Our work referred initially to the situation in Spain as of February 28, 2020, where a few dozens of cases had been detected, but has been updated to match the current situation as of 13 April. We implemented an SEIR metapopulation model that allows tracing explicitly the spatial spread of the disease through data-driven stochastic simulations. Our results are in line with the most recent recommendations from the World Health Organization, namely, that the best strategy is the early detection and isolation of individuals with symptoms, followed by interventions and public recommendations aimed at reducing the transmissibility of the disease, which, although might not be sufficient for disease eradication, would produce as a second order effect a delay of several days in the raise of the number of infected cases. Many quantitative aspects of the natural history of the disease are still unknown, such as the amount of possible asymptomatic spreading or the role of age in both the susceptibility and mortality of the disease. However, preparedness plans and mitigation interventions should be ready for quick and efficacious deployment globally. The scenarios evaluated here through data-driven simulations indicate that measures aimed at reducing individuals' flow are much less effective than others intended for early case identification and isolation. Therefore, resources should be directed towards detecting as many and as fast as possible the new cases and isolate them. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource metapopulation dynamics, disease spreading, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12916-020-01619-5 Source A related resource from which the described resource is derived BMC Medicine Publisher An entity responsible for making the resource available BMC https://www.socictopen.socict.org/files/original/0d6c4721efff121819823a1953b79c54.pdf da884b4de97517ef8bb7648839aec18a 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 ESMO management and treatment adapted recommendations in the COVID-19 era: colorectal cancer. Creator An entity primarily responsible for making the resource Jean-Yves Douillard, George Pentheroudakis, Florian Lordick, Loredana Vecchione, Sebastian Stintzing Description An account of the resource COVID-19 pandemic challenges health system capacities in many countries. National healthcare services have to manage unexpected shortage of healthcare resources that have to be reallocated according to the principles of fair and ethical prioritisation, in order to maintain the highest levels of care to all patients, ensure the safety of patients and healthcare workers and save as many lives as possible. Beyond that, cancer care services have to pursue restructuring, following the same evidence-based dispositions. In this article, we propose guidance to the management of colorectal cancer during the pandemic, prioritised according to a three-tiered framework, based on expert clinical judgement and magnitude of benefit expected from specific interventions. Since the availability of resources for diagnostic procedures, surgery and postoperative care, systemic therapy and radiotherapy may differ, authors did separate prioritisation analyses. The impact of postponing or abrogating cancer interventions on outcomes according to a high, medium or low priority scale, is outlined and discussed. The implementation of healthcare services using telemedicine is explored: it reveals itself as functional and effective for limiting patients' need to travel to centres and thereby has the potential to reduce diffusion of severe acute respiratory syndrome coronavirus 2. Colorectal cancer demands a considerable amount of medical resources. Therefore, the redefinition of its diagnostic and therapeutic algorithms with a rigorous method is crucial in order to ensure the highest quality of continuum of care in the broader context of the pandemic and the challenged healthcare systems. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource CRC and COVID-19, colorectal cancer patients during COVID19 pandemic, colorectal cancer patients recommendetions Identifier An unambiguous reference to the resource within a given context DOI: 10.1136/esmoopen-2020-000826 Source A related resource from which the described resource is derived ESMO open https://www.socictopen.socict.org/files/original/a416d38fc0c3ab3b696aca1fd297a097.pdf 0c87f676574d4c8a5a06250219000f80 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 Mental Health Burden of the COVID-19 Pandemic on Physical Therapists. Creator An entity primarily responsible for making the resource Min Cheol Chang, Eun Jae Ko, Seoyon Yang, Sang Gyu Kwak Description An account of the resource We evaluated the mental health burden of coronavirus disease (COVID-19) on physical therapists, including their stress and anxiety levels, who were at risk of developing psychological distress and other mental health symptoms. A questionnaire survey was conducted with physical therapists of three university hospitals in South Korea on 10 April 2020. The questionnaires evaluated the presence of anxiety and depression in the respondents. Among the 65 physical therapists who completed our survey, 21 (32.3%) and 12 (18.5%) physical therapists reported having symptoms of anxiety and depression, respectively. If a physical therapist was living with a ≤6-year-old infant or child, the possibility of the presence of anxiety was significantly higher. The risk of depression among those who were in their 30 s and 50 s was significantly higher than among those in their 20 s. Thus, physical therapists living with a ≤6-year-old infant or child and those in their 30 s and 50 s need special attention. 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, depression, Mental health, coronavirus, Physical therapists, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17103723 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 https://www.socictopen.socict.org/files/original/d21bc2665c9a9006fc8f82891e941860.pdf c9e1dfe2356273823dc294cf9acd0bf2 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 COVID-19 Infection Prevention Measures in a Hyperbaric Oxygen Therapy Center. Creator An entity primarily responsible for making the resource Su-Shin Lee, Shu-Hung Huang, Ching-Tzu Hung, Hsiao-Chen Lee, Jing-Jou Lo, Su-Chen Wang, Hsiu-Ying Lee Description An account of the resource Since the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China in December 2019 and its subsequent global spread, Taiwan has been combatting this pandemic. COVID-19 is caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As SARS-CoV-2 can be transmitted through droplets and aerosols, we cannot ignore the risk of transmission during hyperbaric oxygen therapy (HBOT). Our hyperbaric oxygen therapy center prioritizes preventing the spread of COVID-19 and maintaining operation for the patients during the pandemic. The aim of this article is to share the protocol that we have adopted in our hyperbaric oxygen therapy center to help prevent the spread of 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 infection control, cross infection, HBOT, SARS-CoV-2, corona virus disease 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/medicina56060261 Source A related resource from which the described resource is derived Medicina (Kaunas, Lithuania) https://www.socictopen.socict.org/files/original/afdb6ad9558f76d55cc574e57c8e1f7f.pdf 4d836fb4db767e9042f32beafbb2a701 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 Italian pediatric respiratory society recommendations on pediatric pulmonary function testing during COVID-19 pandemic. Creator An entity primarily responsible for making the resource Giuliana Ferrante, Stefania La Grutta, Fabio Midulla, Giorgio Piacentini, Renato Cutrera, Enrico Lombardi, Salvatore Cazzato, Francesca Santamaria, Attilio Turchetta, Massimo Pifferi, Giancarlo Tancredi, Elisabetta Bignamini, Amelia Licari Description An account of the resource Effective prevention and control strategies are mandatory to prevent SARS-CoV-2 infection. The Italian Pediatric Respiratory Society promotes a series of new recommendations that should be followed in pulmonary function testing laboratories during the COVID-19 pandemic. Pulmonary function testing should be performed in children with chronic lung disease only if it is needed to guide management and limited to the necessary tests, namely spirometry. When performed, strict infection control measures should be followed due to the potential risk of transmitting SARS-CoV-2. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Children, Pulmonary function testing, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13052-020-00829-0 Source A related resource from which the described resource is derived Italian Journal of Pediatrics Publisher An entity responsible for making the resource available BMC https://www.socictopen.socict.org/files/original/21e8e20a851345aa0d36692014a56d84.pdf 7bd72d707e7ab73611c2e0c210d0baa6 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 Emergence and Social and Health Determinants in Colorado: A Rapid Spatial Analysis. Creator An entity primarily responsible for making the resource Jieun Lee, Ivan J Ramírez Description An account of the resource The aim of this rapid analysis was to investigate the spatial patterns of COVID-19 emergence across counties in Colorado. In the U.S. West, Colorado has the second highest number of cases and deaths, second only to California. Colorado is also reporting, like other states, that communities of color and low-income persons are disproportionately affected by COVID-19. Using GIS and correlation analysis, this study explored COVID-19 incidence and deaths from March 14 to April 8, 2020, with social determinants and chronic conditions. Preliminary results demonstrate that COVID-19 incidence intensified in mountain communities west of Denver and along the Urban Front Range, and evolved into new centers of risk in eastern Colorado. Overall, the greatest increase in COVID-19 incidence was in northern Colorado, i.e., Weld County, which reported the highest rates in the Urban Front Range. Social and health determinants associated with higher COVID-19-related deaths were population density and asthma, indicative of urban areas, and poverty and unemployment, suggestive of rural areas. Furthermore, a spatial overlap of high rates of chronic diseases with high rates of COVID-19 may suggest a broader syndemic health burden, where comorbidities intersect with inequality of social determinants of health. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource GIS, Spatial analysis, coronavirus, Colorado, social determinants of health, Pandemic, multiple chronic conditions, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17113856 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 https://www.socictopen.socict.org/files/original/0aaad727b776c9e1b799fb3b6c306dd4.pdf 93d2207b5fb6ebffd2c86ed1472647a9 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 55-year-old COVID-19-positive man managed with self-regulation of high-flow oxygen by high-velocity nasal insufflation therapy. Creator An entity primarily responsible for making the resource Ari J Ciment, Lawrence M Ciment Description An account of the resource Management of critically ill coronavirus disease 2019 (COVID-19) patients remains both risky and technically challenging. A 55-year-old male COVID-19-positive patient with obstructive sleep apnoea (OSA), diabetes, and obesity presented with cough and shortness of breath, escalating to requiring high-flow oxygen therapy by high-velocity nasal insufflation. The patient's flow rate and oxygen fraction remained labile throughout much of the hospitalization. This lability required frequent clinician interactions and use of personal protective equipment. The patient was alert and oriented and was instructed on the operation of the high-flow system, specifically the adjustment of both flow rate and oxygen percentage. The patient was instructed to modify oxygen to maintain an SpO2 (peripheral capillary oxygen saturation) target range, and flow rate to address dyspnoea as well as reduction of flow as tolerated when other staff entered the room. The patient was successfully self-regulated for 10 days and was discharged on 2 L/min nasal cannula on day 14 of his illness. 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, Vapotherm, COVID‐19, nasal insufflation, patient control Identifier An unambiguous reference to the resource within a given context DOI: 10.1002/rcr2.591 Source A related resource from which the described resource is derived Respirology Case Reports Publisher An entity responsible for making the resource available Wiley https://www.socictopen.socict.org/files/original/11eba92f1b2952230328448a6e4322b9.pdf a9ec118b2dcbf7e11152f8a857d6173b 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 La Atención Primaria de Salud: Más necesaria que nunca en la crisis del Coronavirus Creator An entity primarily responsible for making the resource Pedro Juan Tárraga López, Juan Solera Albero Description An account of the resource - 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 DOI: 10.19230/jonnpr.3655 Source A related resource from which the described resource is derived Jounal of Negative and No Positive Results Publisher An entity responsible for making the resource available Asociación Para el Progreso de la Biomedicina 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