1001 10 20655 https://www.socictopen.socict.org/files/original/dc6b6485cb23dd0e955941096f5ac600.pdf ad12781c6bf172425c40e14e5d1cfc02 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 Глобальні проблеми сучасності: економічний вимір Creator An entity primarily responsible for making the resource Ключник Р.М. Description An account of the resource Проведено аналіз основних глобальних проблем сучасності, які чинять вплив на світовуекономіку. Проаналізовано проблеми перенаселення, бідності, міграції, забруднення довкілля,нераціонального використання природних ресурсів та епідемій. Продемонстровано, що стихійна урбанізація є небезпечною для економічної стабільності, а також створює передумови длязначних збитків у випадку катастроф.Розглянуто проблеми багатовимірної бідності у різних країнах світу. Приділено увагуспіввідношенню зростання ВВП та чисельності населення. Доведено, що міграція може матипозитивні та негативні наслідки. Розглянуто вплив міграції на ринок праці та політичні процеси. Наведено приклади антисистемних партій як виразника економічних інтересів частиникорінного населення країн Європи.Наведено статистичні дані стосовно економічного розвитку Ефіопії, Індонезії, Гаїті, Гондурасу, Болівії, Китаю, Сомалі тощо. Проаналізовано погляди американських, британських,польських, російських та українських вчених на досліджувану проблематику.Підкреслено деструктивне значення екологічних лих та пандемій для розвитку економічної системи. Окрему увагу приділено епізоотіям. Наводяться приклади лісових пожеж в Росії таБразилії у 2019 р. Продемонстровано вплив SARS, лихоманки Ебола та COVID-19 на економічне зростання. Спрогнозовано, які саме сфери можуть найбільше постраждати через пандеміюCOVID-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 глобальні проблеми, міграція, екологічна безпека, бідність, урбанізація, світова економіка Identifier An unambiguous reference to the resource within a given context 10.32342/2074-5354-2020-1-52-1 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 Economics as a science https://www.socictopen.socict.org/files/original/658a5bb5c51a1a0e0f10c2c83298b083.pdf e976fc2567d4b3965f3e11e059c59f6e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey Creator An entity primarily responsible for making the resource Fares Qeadan, Nana Akofua Mensah, Benjamin Tingey, Rona Bern, Tracy Rees, Sharon Talboys, Tejinder Pal Singh, Steven Lacey, Kimberley Shoaf Description An account of the resource With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Public health, covid-19, SARS-CoV-2, Risk behavior, protective health measures Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17176295 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 https://www.socictopen.socict.org/files/original/e49842e9b18e4c69dc96b08e2b85a873.pdf 37bee629b40b9fe52e20e2528a6558bc 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 clinical case of successful application of a new treatment method for severe COVID-19 Creator An entity primarily responsible for making the resource Alexander S. Samoylov, Yuri D. Udalov, Nikolai M. Kruglyakov, Dmitry А. Terekhov, German I. Bagzhanov, Sergey S. Ochkin Description An account of the resource COVID-19, formerly coronavirus infection 2019-nCoV, is a potentially severe acute respiratory infection caused by the SARS-CoV-2 coronavirus (2019-nCoV). It is a dangerous disease that can occur both in the form of a mild acute respiratory viral infection and in a severe form with the development of bilateral polysegmental viral pneumonia, specific complications of which may include acute respiratory distress syndrome, resulting in the respiratory failure with a high risk of death. Due to the absence of etiotropic therapy for the coronavirus infection, pathogentic treatment becomes of primary importance. We present a clinical case of a severe form of COVID-19 in a 33-year-old man to whom we administered a new method of pathogenetic treatment of this disease based on immunosuppresiive therapy followed by therapeutic plasma exchange and infusion of non-specific human immunoglobulin. 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, Case report, immunosuppression, plasma exchange, selective plasma filtration Identifier An unambiguous reference to the resource within a given context 10.17816/clinpract34529 Source A related resource from which the described resource is derived Клиническая практика Publisher An entity responsible for making the resource available Eco-vector 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/9eb046bb46e067c5ae0a9f0a5f27fa84.pdf 1186b0bc918e52e069cf2e6eaa512271 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 Clinical characteristics and risk factors of patients with severe COVID-19 in Jiangsu province, China: a retrospective multicentre cohort study Creator An entity primarily responsible for making the resource Duolao Wang, Songqiao Liu, Huanyuan Luo, Yuancheng Wang, Luis E. Cuevas, Shenghong Ju, Yi Yang Description An account of the resource Abstract Background Coronavirus Disease-2019 (COVID-19) pandemic has become a major health event that endangers people health throughout China and the world. Understanding the factors associated with COVID-19 disease severity could support the early identification of patients with high risk for disease progression, inform prevention and control activities, and potentially reduce mortality. This study aims to describe the characteristics of patients with COVID-19 and factors associated with severe or critically ill presentation in Jiangsu province, China. Methods Multicentre retrospective cohort study of all individuals with confirmed Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infections diagnosed at 24 COVID-19-designated hospitals in Jiangsu province between the 10th January and 15th March 2020. Demographic, clinical, laboratory, and radiological data were collected at hospital admission and data on disease severity were collected during follow-up. Patients were categorised as asymptomatic/mild/moderate, and severe/critically ill according to the worst level of COVID-19 recorded during hospitalisation. Results A total of 625 patients, 64 (10.2%) were severe/critically ill and 561 (89.8%) were asymptomatic/mild/moderate. All patients were discharged and no patients died. Patients with severe/critically ill COVID-19 were more likely to be older, to be single onset (i.e. not belong to a cluster of cases in a family/community, etc.), to have a medical history of hypertension and diabetes; had higher temperature, faster respiratory rates, lower peripheral capillary oxygen saturation (SpO2), and higher computer tomography (CT) image quadrant scores and pulmonary opacity percentage; had increased C-reactive protein, fibrinogen, and D-dimer on admission; and had lower white blood cells, lymphocyte, and platelet counts and albumin on admission than asymptomatic/mild/moderate cases. Multivariable regression showed that odds of being a severe/critically ill case were associated with age (year) (OR 1.06, 95%CI 1.03–1.09), lymphocyte count (109/L) (OR 0.25, 95%CI 0.08–0.74), and pulmonary opacity in CT (per 5%) on admission (OR 1.31, 95%CI 1.15–1.51). Conclusions Severe or critically ill patients with COVID-19 is about one-tenths of patients in Jiangsu. Age, lymphocyte count, and pulmonary opacity in CT on admission were associated with risk of severe or critically ill 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 covid-19, pneumonia, severe, SARS-CoV-2, severity, Critically ill Identifier An unambiguous reference to the resource within a given context 10.1186/s12879-020-05314-x 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 Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/a5e3e128b121ab0bdbf02faaea54480b.pdf dc05168b66da391b89785ce2606cf1f7 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 Effectiveness of Arbidol for COVID-19 Prevention in Health Professionals Creator An entity primarily responsible for making the resource Chunguang Yang, Chunjin Ke, Daoyuan Yue, Wengang Li, Zhiquan Hu, Wei Liu, Shuhua Hu, Shaogang Wang, Jihong Liu Description An account of the resource Background: Frontline health professionals are a COVID-19-susceptible population during the outbreak of COVID-19, but prophylactic drugs against SARS-CoV-2 infection are to be explored.Method: Frontline health professionals diagnosed with COVID-19 before February 9, 2020 in Tongji Hospital, Wuhan, China and the same amount of controls in the uninfected group were included in this study. Clinical and laboratory data were collected with standardized forms.Results: A total of 164 subjects were included in this study, 82 cases in the infected group and 82 controls in the uninfected group, with a median age of 37 years, including 63 males and 101 females. Nineteen (23.2%) patients in the infected group were administered oral arbidol, and 48 (58.5%) in the uninfected group (OR = 0.214, 95% CI 0.109–0.420). The cumulative uninfected rate of health professionals in the arbidol group was significantly higher than that of individuals in the non-arbidol group (log-rank test, χ2 = 98.74; P < 0.001). Forty-eight patients (58.5%) in the infection group were hospitalized, with a median age of 39 (31–49) years, of whom 7 (14.6%) were prophylactically administered arbidol. Thirty-four patients (41.5%) with mild symptoms were treated outside the hospital, among which the median age was 34 (30–39) years, and twelve patients (35.3%) took prophylactic oral arbidol. The hospitalization rate was significantly associated with age (P = 0.024) and oral arbidol administration (OR = 0.313, 95% CI 0.108–0.909). In the age-matched case-control study, the hospitalization rate was not significantly associated with arbidol administration (P = 0.091).Conclusion: Prophylactic oral arbidol was associated with a lower incidence of SARS-CoV-2 infection but not hospitalization rate in health professionals, providing a basis for the selection of prophylactic drugs for high-risk populations. 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, arbidol, primary prevention, health professional Identifier An unambiguous reference to the resource within a given context 10.3389/fpubh.2020.00249 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/9d38ea74d38f50f84ce160313bd1e4fc.pdf cd020e4ab3e4e71caa4d36146adda515 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 Coping with COVID-19: Exposure to COVID-19 and Negative Impact on Livelihood Predict Elevated Mental Health Problems in Chinese Adults Creator An entity primarily responsible for making the resource Jing Guo, Xing Lin Feng, Xiao Hua Wang, Marinus H. van IJzendoorn Description An account of the resource The COVID-19 pandemic might lead to more mental health problems. However, few studies have examined sleep problems, depression, and posttraumatic symptoms among the general adult population during the COVID-19 outbreak, and little is known about coping behaviors. This survey was conducted online in China from February 1st to February 10th, 2020. Quota sampling was used to recruit 2993 Chinese citizens aged ≥18 years old. Mental health problems were assessed with the Post-Traumatic Stress Disorders (PTSD) Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), the Center for Epidemiological Studies Depression inventory, and the Pittsburgh Sleep Quality Index. Exposure to COVID-19 was measured with questions about residence at outbreak, personal exposure, media exposure, and impact on livelihood. General coping style was measured by the brief Coping Style Questionnaire (SCSQ). Respondents were also asked 12 additional questions about COVID-19 specific coping behaviors. Direct exposure to COVID-19 instead of the specific location of (temporary) residence within or outside the epicenter (Wuhan) of the pandemic seems important (standardized beta: 0.05, 95% confidence interval (CI): 0.02–0.09). Less mental health problems were also associated with less intense exposure through the media (standardized beta: −0.07, 95% CI: −0.10–−0.03). Perceived negative impact of the pandemic on livelihood showed a large effect size in predicting mental health problems (standardized beta: 0.15, 95% CI: 0.10–0.19). More use of cognitive and prosocial coping behaviors were associated with less mental health problems (standardized beta: −0.30, 95% CI: −0.34–−0.27). Our study suggests that the mental health consequences of the lockdown impact on livelihood should not be underestimated. Building on cognitive coping behaviors reappraisal or cognitive behavioral treatments may be most promising. 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, covid-19, Depression, insomnia, Post-Traumatic Stress Symptoms (PTSS) Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17113857 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 https://www.socictopen.socict.org/files/original/0e8b33d9dfb847c941d76418e19b8106.pdf 4e0b5f2b24cc705eadcb0a5bb95096d0 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 Investigation of revers-transcriptase polymerase chain reaction values of patients with COVID-19 findings in lung computed tomography results Creator An entity primarily responsible for making the resource Ozüdogru Osman, Gunes Bolatli, Fatih Tas Description An account of the resource It turned out that the cause of pneumonia cases that occurred in China was due to SARS-CoV-2. The aim is to compare chest computer tomography and Revers-Transcriptase Polymerase Chain Reaction methods used in the diagnosis of COVID-19 disease with each other and to evaluate this disease with risk factors. The study was carried out on 66 patients. Epidemiological history, clinical symptoms, chest CT and RT-PCR results of the cases were examined. RT-PCR results of 1, 4, and 7 days were evaluated for each case with positive chest CT results. Thirty-seven of them were found to be positive on day 1, 5 of them were found to be positive on day 4, and 2 of them were found to be positive on day seven from 52 patients whose RT-PCR results were examined. In the remaining 8 cases, no positive findings were found. The most common findings are; cough (78.8%), fever (55.8%), and shortness of breath (28.8%). It was observed that 51.9% of the cases had chronic disease history and 50% of the patients using cigarettes had bilateral lung involvement in their CT results. Seven cases received intensive care support, 3 cases were intubated. Two of the intubated cases were exitus (3,8%). The positive results of RT-PCR were found to be negative in most of the cases which have positive chest CT; suggests that chest CT is more reliable in making a diagnosis.  Therefore, evaluating chest CT results with RT-PCR can be an appropriate alternative approach in the diagnosis and treatment of disease. However, in order to be fully diagnosed, the patient's history, chronic diseases, age, symptoms, imaging, blood, and test findings must all be considered as a whole. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource virus, covid-19, RT-PCR, Pandemic, Chest CT Identifier An unambiguous reference to the resource within a given context 10.29238/teknolabjournal.v9i1.220 Source A related resource from which the described resource is derived Jurnal Teknologi Laboratorium Publisher An entity responsible for making the resource available Poltekkes Kemenkes Yogyakarta 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 (General) https://www.socictopen.socict.org/files/original/8aa25467e68d368f6c835fe0413c3a09.pdf 6d15dda1d82312edc3ecde1fcbbf0db7 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 Pulmonary Thrombosis or Embolism in a Large Cohort of Hospitalized Patients With Covid-19 Creator An entity primarily responsible for making the resource Natividad Benito, Natividad Benito, Natividad Benito, David Filella, David Filella, Jose Mateo, Ana M. Fortuna, Juan E. Gutierrez-Alliende, Nerea Hernandez, Nerea Hernandez, Ana M. Gimenez, Virginia Pomar, Virginia Pomar, Virginia Pomar, Ivan Castellvi, Ivan Castellvi, Hector Corominas, Hector Corominas, Jordi Casademont, Jordi Casademont, Pere Domingo, Pere Domingo Description An account of the resource Objective: We set out to analyze the incidence and predictive factors of pulmonary embolism (PE) in hospitalized patients with Covid-19.Methods: We prospectively collected data from all consecutive patients with laboratory-confirmed Covid-19 admitted to the Hospital de la Santa Creu i Sant Pau, a university hospital in Barcelona, between March 9 and April 15, 2020. Patients with suspected PE, according to standardized guidelines, underwent CT pulmonary angiography (CTPA).Results: A total of 1,275 patients with Covid-19 were admitted to hospital. CTPA was performed on 76 inpatients, and a diagnosis of PE was made in 32 (2.6% [95%CI 1.7–3.5%]). Patients with PE were older, and they exhibited lower PaO2:FiO2 ratios and higher levels of D-dimer and C-reactive protein (CRP). They more often required admission to ICU and mechanical ventilation, and they often had longer hospital stays, although in-hospital mortality was no greater than in patients without PE. High CRP and D-dimer levels at admission (≥150 mg/L and ≥1,000 ng/ml, respectively) and a peak D-dimer ≥6,000 ng/ml during hospital stay were independent factors associated with PE. Prophylactic low molecular weight heparin did not appear to prevent PE. Increased CRP levels correlated with increased D-dimer levels and both correlated with a lower PaO2:FiO2.Conclusions: The 2.6% incidence of PE in Covid-19 hospitalized patients is clearly high. Higher doses of thromboprophylaxis may be required to prevent PE, particularly in patients at increased risk, such as those with high levels of CRP and D-dimer at admission. These findings should be validated in future studies. 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, thromboprophylaxis, thromboinflammation, Pulmonary thrombosis, pulmonary embolism (MeSH), anticoagulant (MeSH) Identifier An unambiguous reference to the resource within a given context 10.3389/fmed.2020.00557 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 (General) https://www.socictopen.socict.org/files/original/5d220cbeb39ab9fe890512e120db81cd.pdf e3fe558d96e13bc07f94c58bd48a3d89 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 Impact of lockdown on COVID-19 epidemic in Île-de-France and possible exit strategies Creator An entity primarily responsible for making the resource Laura Di Domenico, Giulia Pullano, Chiara E. Sabbatini, Pierre-Yves Boëlle, Vittoria Colizza Description An account of the resource Abstract Background More than half of the global population is under strict forms of social distancing. Estimating the expected impact of lockdown and exit strategies is critical to inform decision makers on the management of the COVID-19 health crisis. Methods We use a stochastic age-structured transmission model integrating data on age profile and social contacts in Île-de-France to (i) assess the epidemic in the region, (ii) evaluate the impact of lockdown, and (iii) propose possible exit strategies and estimate their effectiveness. The model is calibrated to hospital admission data before lockdown. Interventions are modeled by reconstructing the associated changes in the contact matrices and informed by mobility reductions during lockdown evaluated from mobile phone data. Different types and durations of social distancing are simulated, including progressive and targeted strategies, with large-scale testing. Results We estimate the reproductive number at 3.18 [3.09, 3.24] (95% confidence interval) prior to lockdown and at 0.68 [0.66, 0.69] during lockdown, thanks to an 81% reduction of the average number of contacts. Model predictions capture the disease dynamics during lockdown, showing the epidemic curve reaching ICU system capacity, largely strengthened during the emergency, and slowly decreasing. Results suggest that physical contacts outside households were largely avoided during lockdown. Lifting the lockdown with no exit strategy would lead to a second wave overwhelming the healthcare system, if conditions return to normal. Extensive case finding and isolation are required for social distancing strategies to gradually relax lockdown constraints. Conclusions As France experiences the first wave of COVID-19 pandemic in lockdown, intensive forms of social distancing are required in the upcoming months due to the currently low population immunity. Extensive case finding and isolation would allow the partial release of the socio-economic pressure caused by extreme measures, while avoiding healthcare demand exceeding capacity. Response planning needs to urgently prioritize the logistics and capacity for these interventions. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Mathematical modeling, covid-19, nonpharmaceutical interventions, social distancing, lockdown, exit strategies Identifier An unambiguous reference to the resource within a given context 10.1186/s12916-020-01698-4 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/cf99e1b47fdbe1d67c70698296fa0aad.pdf e5b9633cabe035d53503a10b14662432 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 Laboratory Parameters in Detection of COVID-19 Patients with Positive RT-PCR; a Diagnostic Accuracy Study Creator An entity primarily responsible for making the resource Nayebali Ahmadi, Rajab Mardani, Abbas Ahmadi Vasmehjani, Fatemeh Zali, Alireza Gholami, Seyed Dawood Mousavi Nasab, Hooman Kaghazian, Mehdi kaviani Description An account of the resource Introduction: The role of laboratory parameters in screening of COVID-19 cases has not been definitely established. This study aimed to evaluate the accuracy of laboratory parameters in predicting cases with positive RT-PCR for COVID-19. Methods: This diagnostic accuracy study was conducted on suspected COVID-19 patients, who presented to Behpooyan Clinic Medical center in Tehran (Iran) from 22 February to 14 March, 2020. Patients were divided into two groups based on the results of real time reverse transcriptase‐polymerase chain reaction (RT-PCR) for COVID-19, and the accuracy of different laboratory parameters in predicting cases with positive RT-PCR was evaluated using area under the ROC curve (AUC). Results: Two hundred cases with the mean age of 41.3± 14.6 (range: 19-78) years were studied (0.53% male). The result of RT-PCR for COVID-19 was positive in 70 (35%) cases. Patients with positive RT-PCR had significantly higher neutrophil (NEU) count (p = 0.0001), and C-reactive protein (CRP) (p = 0.04), lactate dehydrogenase (LDH) (p = 0.0001), aspartate aminotransferase (AST) (p = 0.001), alanine aminotransferase (ALT) (p = 0.0001), and Urea (p = 0.001) levels in serum. In addition, patients with positive RT-PCR had lower white blood cell (WBC) count (p = 0.0001) and serum albumin level (p = 0.0001) compared to others. ALT (AUC = 0.879), CRP (AUC = 0.870), NEU (AUC = 0.858), LDH (AUC = 0.835), and Urea (AUC = 0.835) had very good accuracy in predicting cases with positive RT-PCR for COVID-19, respectively. Conclusion: Our findings suggest that level of LDH, CRP, ALT and NEU can be used to predict the result of COVID-19 test. They can help in detection of COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource reverse transcriptase polymerase chain reaction, covid-19, Biomarkers, SARS-CoV-2, biochemistry, blood cell count Identifier An unambiguous reference to the resource within a given context 10.22037/aaem.v8i1.632 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 Medical emergencies. Critical care. Intensive care. First aid