1027 10 20655 https://www.socictopen.socict.org/files/original/3f6007da93ef327150bd44bf2c3b2319.pdf 3f766e08ff8987b5047b5a02ad04febe 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 and Pregnancy Outcome: An Experience in ‘COVID-19 Management Designated’ Tertiary Care Hospital, Rawalpindi, Pakistan Creator An entity primarily responsible for making the resource Shazia Syed, Humera Noreen, Humaira Masood, Ismat Batool, Hina Gul, Nighat Naheed Description An account of the resource Background: The current COVID-19 pandemic has affected almost 17.3 million victims worldwide with mortality of almost 674K. Pregnancy is one of the most susceptible conditions for COVID-19 infection, but limited data is currently available about the clinical characteristics of pregnant women with the disease. Objective; to describe the clinical characteristics, co-morbidities, management, feto-maternal, and neonatal outcome in COVID-19 positive pregnant women. Methodology: A descriptive case series study was conducted in Obs/Gynae dept of Benazir Bhutto Tertiary Care Hospital, Rawalpindi, including all asymptomatic/symptomatic COVID-19 positive pregnant women and clinical suspects (COVID-19 PCR negative women) delivered in our hospital from 01st April 2020 to 31st July 2020. Their medical records were reviewed for clinical characteristics, management, feto-maternal and neonatal outcomes. Continuous variables were expressed in Mean & Range and Categorical variables as number & Percentage. Results: During the study period a total of 17 cases were reviewed. The mean maternal age was 28.94 yrs. Primigravida (07), Multipara (10). Mean gestational age was 37 wks (range; 30-41wks). Presenting symptomatology was varied. Asymptomatic; (29%), COVID-19 specific symptoms; fever & flu (12%), fever&cough (6%), shortness of breath(SOB) alone (6%), fever & SOB(6%) and pregnancy-related manifestations were labour pains (17%), eclampsia(6%), hydrocephalous fetus (6%) and hepatic encephalopathy(6%). The commonest co-morbidity was Hypertensive disorders of pregnancy (24%). Five women (29%) required ICU care. Lower segment caesarean sections(LSCS) (59%), vaginal delivery (41%). Eleven babies delivered with good Apgar score and birth weight. Two were early neonatal deaths (ENND) and 04 were received intra-uterine fetal deaths (IUDs). Fetal demise was associated with strong obstetric risk factors. Out of 13 live-born babies, RT-PCR Covid-19 testing was done in 10 (77%) cases and was negative. One mother was expired due to complications of hepatic encephalopathy, sepsis, and burst abdomen. Conclusion; The clinical course of COVID-19 disease in pregnancy seems to be no different from non-pregnant women. Clinical manifestations are diverse and infection contracted in the third trimester of pregnancy is associated with good feto-maternal and neonatal outcomes. 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, Pandemic, SARS-CoV-2, F eto maternal outcome, Neonatal Outcome Identifier An unambiguous reference to the resource within a given context 10.37939/jrmc.v24iSupp-1.1453 Source A related resource from which the described resource is derived Journal of Rawalpindi Medical College Publisher An entity responsible for making the resource available Rawalpindi Medical University 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/3417c5f93294ba0e306705e67e587829.pdf 057a3f30d8530d8ae6fa9c9b19e6d3b7 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 Predictors Associated with COVID-19 Deaths in Ethiopia Creator An entity primarily responsible for making the resource Alemu Y Description An account of the resource Yenew Alemu Department of Statistics, College of Natural and Computational Science, Injibara University, Injibara, EthiopiaCorrespondence: Yenew AlemuCollege of Natural and Computational Science, Injibara University, P.O. Box 40, Injibara, EthiopiaTel +251 920255871Email yenewalemu@gmail.comAbstract: Coronavirus disease is an infectious disease that causes a newly discovered coronavirus. Ethiopia is one of the most impacted countries relative to the proportion of COVID-19 case growth and infection. The purpose of this investigation was to identify the determinants of COVID-19 deaths in Ethiopia. The source of the data for this study was the 2020 Ethiopian Ministry of Health from March up to July using multiple linear regression models. Among 468,814 total tests, 9,027 were recovered, 20,900 were confirmed cases, and 365 were deaths from coronavirus diseases in Ethiopia. Critical cases (β= 0.570, p= 0.006) and average temperature (β= − 35.061, p= 0.003) variables were statistically significant. Critical or serious cases significantly and positively affected the deaths from this pandemic disease, while the average temperature significantly and negatively affected the deaths from COVID-19 disease in Ethiopia.Keywords: COVID-19, predictors, multiple linear regression, Ethiopia 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, Ethiopia, Multiple Linear Regression, Predictors 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/fbbfd85e69b75d31d63fa34dc8bc6002.pdf 04ed88ecb45b6b86e3f8658f6be5d733 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 Developing a Preliminary Causal Loop Diagram for Understanding the Wicked Complexity of the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Shannon Rutherford, Oz Sahin, Hengky Salim, Emiliya Suprun, Russell Richards, Stefen MacAskill, Simone Heilgeist, Rodney A. Stewart, Cara D. Beal Description An account of the resource COVID-19 is a wicked problem for policy makers internationally as the complexity of the pandemic transcends health, environment, social and economic boundaries. Many countries are focusing on two key responses, namely virus containment and financial measures, but fail to recognise other aspects. The systems approach, however, enables policy makers to design the most effective strategies and reduce the unintended consequences. To achieve fundamental change, it is imperative to firstly identify the “right” interventions (leverage points) and implement additional measures to reduce negative consequences. To do so, a preliminary causal loop diagram of the COVID-19 pandemic was designed to explore its influence on socio-economic systems. In order to transcend the “wait and see” approach, and create an adaptive and resilient system, governments need to consider “deep” leverage points that can be realistically maintained over the long-term and cause a fundamental change, rather than focusing on “shallow” leverage points that are relatively easy to implement but do not result in significant systemic change. 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, Pandemic, systems approach, wicked problem, Leverage points Identifier An unambiguous reference to the resource within a given context 10.3390/systems8020020 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 Technology (General), Systems engineering https://www.socictopen.socict.org/files/original/b305ce71699f66eefa6f1e0ad099fba7.pdf 16c31c8e5bbedadf268318fcfe2ec90d 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 Set-Valued Control Approach Applied to a COVID-19 Model with Screening and Saturated Treatment Function Creator An entity primarily responsible for making the resource Mohamed Elhia, Lahoucine Boujallal, Meryem Alkama, Omar Balatif, Mostafa Rachik Description An account of the resource The purpose of this paper is modelling and controlling the spread of COVID-19 disease in Morocco. A nonlinear mathematical model with two subclasses of infectious individuals is proposed. The population is divided into five classes, namely, susceptible (S), exposed (E), undiagnosed infectious (Inc), diagnosed patients (Ic), and removed individuals. To reflect the real dynamic of the COVID-19 transmission in Morocco, the real reported data are used for estimating model parameters. Two controls representing screening effort and limited treatment are considered. Based on viability theory and set-valued analysis, a Lyapunov function is constructed such that both exposed and infected populations are decreased to zero asymptotically. The corresponding controls are derived via a continuous selection of adequately designed feedback map. Numerical simulations are presented with three scenarios (cases when each control is used alone and the case when two controls are combined). Our results show that when only one control is to be applied, screening is the most effective in decreasing the number of people in the three infected compartments, whereas combining both controls is found to be highly effective and leads to a significant improvement in the epidemiological situation of Morocco. To the best of our knowledge, this work is the first one that applies the set-valued approach to a controlled COVID-19 model which agrees with the observed cases in Morocco. 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 10.1155/2020/9501028 Source A related resource from which the described resource is derived Complexity Publisher An entity responsible for making the resource available Hindawi-Wiley Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electronic computers. Computer science https://www.socictopen.socict.org/files/original/f8657473870132e6338f8c71307a59ed.pdf e92791c3564cf8cc44cb7c39572571ec 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 Artificial University: Decision Support for Universities in the COVID-19 Era Creator An entity primarily responsible for making the resource Wesley J. Wildman, Saikou Y. Diallo, George Hodulik, Andrew Page, Andreas Tolk, Neha Gondal Description An account of the resource Operating universities under pandemic conditions is a complex undertaking. The Artificial University (TAU) responds to this need. TAU is a configurable, open-source computer simulation of a university using a contact network based on publicly available information about university classes, residences, and activities. This study evaluates health outcomes for an array of interventions and testing protocols in an artificial university of 6,500 students, faculty, and staff. Findings suggest that physical distancing and centralized contact tracing are most effective at reducing infections, but there is a tipping point for compliance below which physical distancing is less effective. If student compliance is anything short of high, it helps to have separate buildings for quarantining infected students, thereby gracefully increasing compliance. Hybrid in-person and online classes and closing fitness centers do not significantly change cumulative infections but do significantly decrease the number of the infected at any given time, indicating strategies for “flattening the curve” to protect limited resources. Supplementing physical distancing with centralized contact tracing decreases infected individuals by an additional 14%; boosting frequency of testing for student-facing staff yields a further 7% decrease. A trade-off exists between increasing the sheer number of infection tests and targeting testing for key nodes in the contact network (i.e., student-facing staff). There are significant advantages to getting and acting on test results quickly. The costs and benefits to universities of these findings are discussed. Artificial universities can be an important decision support tool for universities, generating useful policy insights into the challenges of operating universities under pandemic conditions. 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 10.1155/2020/5910209 Source A related resource from which the described resource is derived Complexity Publisher An entity responsible for making the resource available Hindawi-Wiley Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electronic computers. Computer science https://www.socictopen.socict.org/files/original/e49c7b5bc26c116fb71351e52c645b2d.pdf 0ac3197645e89db5faff260974aef318 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 and the Black Death: Nutrition, frailty, inequity, and mortality Creator An entity primarily responsible for making the resource Katherine D. VAN SCHAIK, Sharon N. DeWITTE Description An account of the resource Introduction: COVID-19 has challenged governments, healthcare systems, and individuals, drawing at- tention to the limits of modern technology and the extent of social inequity. Such challenges have directed attention to historical epidemics as repositories of data that could contribute to effective public health stra- tegies and prognostic modeling. In light of the well-established correlation between frailty and mortality from COVID-19, this paper investigates the relationship between frailty, inequity, and mortality in the set- ting of the Black Death of 1346 – 1353, in order to identify trends over time in populations at the greatest risk of mortality during pandemics.Methods: A comparative review examining relationships between frailty and mortality during the fourte- enth century Black Death and the current COVID-19 pandemic was conducted. Data related to the Black Death are derived from osteological analyses of remains from mass plague graves in the United Kingdom, and data related to COVID-19 are derived from the United States, Italy, and China.Results: Nutrition – often a consequence of socioeconomic status – plays a crucial role in pandemic mor- tality. During the Black Death, people with pathological indicators that can reflect undernourishment due to inadequate caloric intake were more likely to die of plague. In the COVID-19 pandemic, higher obesity rates among populations of lower socioeconomic status in the United States reveal similar relationships among nutrition, frailty, inequity, and pandemic mortality.Conclusion: Nutrition – often a consequence of socioeconomic status – has a crucial role in risks of mor- tality. Our analysis underscores the importance of addressing nutrition and frailty in present and future discussions of the prevention and mitigation of pandemics. 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; frailty; medieval plague; nutrition; selective mortality Identifier An unambiguous reference to the resource within a given context 10.19204/2020/cvdn3 Source A related resource from which the described resource is derived Journal of Health and Social Sciences Publisher An entity responsible for making the resource available Edizioni FS 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), Social sciences (General) https://www.socictopen.socict.org/files/original/7816d0a3c6e27d9b442a84bd08e5ddcf.pdf bae264c2a8c78da66535bb6b0c11df2b 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 digital technologies to create equal opportunities in higher education in the Russian Federation: COVID-2019 lessons Creator An entity primarily responsible for making the resource Kozyreva Anna, Nadtoka Ruslan Description An account of the resource The article examines the experience of higher education educational organizations of the Russian Federation in the development and implementation of digital tools and services to form equal access to educational content. The Anti-Crisis Measures adopted by the Ministry of Science and Higher Education of the Russian Federation to regulate the higher education sector are being evaluated to ensure that education is accessible and that the learning process is stopped during the COVID-19 pandemic.Over the past few months, studies in higher education on the quality of digital solutions used and their adequacy during the spread of the pandemic of the new COVID-2019 coronavirus infection and the transition mainly to remote forms of educational services show a low degree of readiness to provide equal access to education and reflect the risks of social conflict. It is important to ensure the digital readiness of higher education organizations to provide quality educational services through the introduction of advanced domestic programs and technologies, including those with elements of artificial intelligence; training of teachers and the administrative staff of educational institutions. Particular attention is paid to ensuring access to education in the subjects of the Russian Federation, where students and entrants face difficulties in remotely studying national languages and national culture. The study proposes to consider, among other things, support for the creation and implementation of online educational courses in the languages of national minorities, the expansion of e-library services containing unique cultural and language content, taking into account the specifics of the region’s learners. 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 10.1051/e3sconf/202020809035 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 Environmental sciences https://www.socictopen.socict.org/files/original/187eb9fbe9317bac64e4ded6e83731b3.pdf f7316cc917a3390c28131a815e5603ec 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 Unsustainable monitoring of environmental pollutants, post UNEP report: The effects of leachates on Niger Delta Eco-zones, Nigeria Creator An entity primarily responsible for making the resource Donatus Anayo Okpara Description An account of the resource This expository study revealed the continuum impact of unsustainable monitoring of environmental pollutants (oil-spills and leachates) nearly a decade after UNEP impact assessment report on Ogoniland and Niger Delta eco-zones. The background is focused on pollutants that have continued threats to the environment and ecologically sensitive areas in the region. It infers the dimensions and dynamics of management failures and poor attitude towards environmental policy implementations. A structured questionnaire was adopted using an online survey approach. The target audience includes academicians, undergraduates, and postgraduates. The majority are from Niger Delta, the region where this research was carried out. An online questionnaire was sent across to 30 respondents through e-mail and others, due to Covid-19 restrictions. Their feedback was processed, analysed, and presented in graphics. We found pollution contributions to the mangrove forest to be 47%, oil exploration 77%. The effects were more on soil, water, and air quality. The water bodies are constantly losing the variety of its resources caused by the release of untreated leachates, industrial waste, and petrochemicals. A rather deteriorating fate lies ahead of the people as population increases, and environmental policies and monitoring seem ineffective. The study will be beneficial to the government, policymakers, waste agencies, researchers, etc. 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 10.1051/e3sconf/202021103010 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 Environmental sciences https://www.socictopen.socict.org/files/original/4e609083621ae2b3b61b4dae0bb46eef.pdf c781bc174ac03e1d9a9cdb4aae7c48f8 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 Systematic Review of Non-Contact Sensing for Developing a Platform to Contain COVID-19 Creator An entity primarily responsible for making the resource Qammer H. Abbasi, Xiaodong Yang, Muhammad Bilal Khan, Zhiya Zhang, Mohammed Ali Mohammed Al-hababi, Lin Li, Wei Zhao Description An account of the resource The rapid spread of the novel coronavirus disease, COVID-19, and its resulting situation has garnered much effort to contain the virus through scientific research. The tragedy has not yet fully run its course, but it is already clear that the crisis is thoroughly global, and science is at the forefront in the fight against the virus. This includes medical professionals trying to cure the sick at risk to their own health; public health management tracking the virus and guardedly calling on such measures as social distancing to curb its spread; and researchers now engaged in the development of diagnostics, monitoring methods, treatments and vaccines. Recent advances in non-contact sensing to improve health care is the motivation of this study in order to contribute to the containment of the COVID-19 outbreak. The objective of this study is to articulate an innovative solution for early diagnosis of COVID-19 symptoms such as abnormal breathing rate, coughing and other vital health problems. To obtain an effective and feasible solution from existing platforms, this study identifies the existing methods used for human activity and health monitoring in a non-contact manner. This systematic review presents the data collection technology, data preprocessing, data preparation, features extraction, classification algorithms and performance achieved by the various non-contact sensing platforms. This study proposes a non-contact sensing platform for the early diagnosis of COVID-19 symptoms and monitoring of the human activities and health during the isolation or quarantine period. Finally, we highlight challenges in developing non-contact sensing platforms to effectively control the COVID-19 situation. 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, Non-contact, WiFi, CSI, SDR Identifier An unambiguous reference to the resource within a given context 10.3390/mi11100912 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 Mechanical engineering and machinery https://www.socictopen.socict.org/files/original/93575f8e95d49de12ee6d5cc29c17ecb.pdf f84b2cb853ba2bb698b4fc6289113900 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 Performance of an extended triage questionnaire to detect suspected cases of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in obstetric patients: Experience from two large teaching hospitals in Lombardy, Northern Italy Creator An entity primarily responsible for making the resource Sara Ornaghi, Clelia Callegari, Roberta Milazzo, Laura La Milia, Federica Brunetti, Chiara Lubrano, Chiara Tasca, Stefania Livio, Valeria Maria Savasi, Irene Cetin, Patrizia Vergani, Francesco Di Gennaro Description An account of the resource Objectives 1. To assess the performance of an extended questionnaire in identifying cases of SARS-CoV-2 infection among obstetric patients. 2. To evaluate the rate of infection among healthcare workers involved in women’s care. Study design A prospective cohort study of obstetric patients admitted to MBBM Foundation and Buzzi Hospital (Lombardy, Northern Italy) from March 16th to May 22nd, 2020. Women were screened on admission by a questionnaire investigating major and minor symptoms of infection and high-risk contacts in the last 14 days. SARS-CoV-2 assessment was performed by RT-PCR on nasopharyngeal swabs. Till April 7th, a targeted SARS-CoV-2 testing triggered by a positive questionnaire was used; from April 8th, a universal testing approach was implemented. Results There were 1,177 women screened by the questionnaire, which yielded a positive result in 130 (11.0%) cases. SARS-CoV-2 RT-PCR was performed in 865 (73.5%) patients, identifying 51 (5.9%) infections. During the first period, there were 29 infected mothers, 4 (13.8%) of whom had a negative questionnaire. After universal testing implementation, there were 22 (3%, 95% CI 1.94% - 4.04%) infected mothers, 13 (59.1%) of whom had a negative questionnaire; rate of infection among asymptomatic women was 1.9%. Six of the 17 SARS-CoV-2-positive women with a negative questionnaire reported symptoms more than 14 but within 30 days before admission. Isolated olfactory or taste disorders were identified in 15.7% of infected patients. Rate of infection among healthcare workers was 5.8%. Conclusions An exhaustive triage questionnaire can effectively discriminate women at low risk of SARS-CoV-2 infection in the context of a targeted and a universal viral testing approach. In 15.7% of infected women, correct classification as a suspected case of infection was due to investigation of olfactory and taste disorders. Extension of the assessed time-frame to 30 days may be worth considering to increase the questionnaire’s performance. Date A point or period of time associated with an event in the lifecycle of the resource 2020 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 Science, Medicine