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                <text>Chih-Cheng Lai, Muh-Yong Yen, Ping-Ing Lee, Po-Ren Hsueh</text>
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                <text>How to make it work: a framework for rapid research to inform evidence-based decision –making about the implementation of online learning during the COVID-19 pandemic</text>
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                <text>Poh Sun  Goh, John Sandars</text>
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                <text>Evidence- based decision making about the implementation of online learning in medical education during the COVID-19 pandemic is a challenge for decision-makers since it is a time of rapid change.  We present a new framework that offers a potential highly useful response to meet this challenge. Our proposed framework for rapid research of online learning during the COVID-19 pandemic recognises the challenge of understanding the complexity of the socio-technical system in which the online learning is implemented, including the behaviour change of individuals in the system and the system's absorptive capacity. The framework provides a structured approach for rapid research to understand the complexity of the implementation of online learning during the COVID-19 pandemic.  We recommend that rapid research to inform decision-making about the implementation of online learning during the COVID-19 pandemic should focus on early identification of the needs of the decision-makers and the use of high quality rapid research approaches to provide relevant and timely information about context, processes and outcomes.</text>
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                <text>research, covid-19, online learning, policy</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine, Special aspects of education</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How to Manage the COVID-19 Diffusion in the Angiography Suite: Experiences and Results of an Italian Interventional Radiology Unit</text>
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                <text>Marcello Andrea Tipaldi, Elena Lucertini, Gianluigi Orgera, Aleksejs Zolovkins, Florindo Lauirno, Edoardo Ronconi, Andrea Pisano, Patrizia Carmela La Salandra, Andrea Laghi, Michele Rossi</text>
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            <description>An account of the resource</description>
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                <text>Introduction: The management of the diffusion of Coronavirus disease 2019 (COVID-19) pandemic represents a massive problem for healthcare systems worldwide and Interventional Radiology (IR) is a fundamental hospital unit which must continue to provide its service. The aim of this article is to summarize the preventive measures taken in our IR unit and to report the results of these measures over a 7 weeks period. Material and Methods: Between the 25th of February, when we started to apply the recommended containing measures, and the 6th of April 2020, when all the IR staff started to undergo nasopharyngeal and oropharyngeal swabs screening, a total of 25 healthcare operators worked at our IR unit. Operators who, during this period, also worked in other hospital units such as diagnostic emergency department or other healthcare facilities, were excluded. Nasopharyngeal and oropharyngeal swabs screening and blood samples for specific SARS-CoV-2 IgG-IgM were retrospectively evaluated. Results: The overall procedures number decreased by a rate of 33% and twenty-three (16%) were performed in confirmed or strongly suspected COVID-19 patients. Two procedures were performed in non-suspected ones, who revealed positive in the following hospitalization days. Seventeen operators were included in the study. Only one of them resulted positive at the swabs, with an estimated infection rate in our IR unit of 6%. Specific SARS-CoV-2 IgG-IgM resulted negative in all the operators included. Conclusion: Our experience demonstrates that applying adequate measures to limit SARS-CoV-2 infection spread can efficiently reduce the viral transmission among IR healthcare workers.</text>
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                <text>2020</text>
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                <text>covid-19, SARS-CoV-2, covid-19 pandemic, Coronavirus disease 2019, coronavirus disease, Interventional radiology, Case management, angiographic suite</text>
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            <name>Identifier</name>
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                <text>10.28991/SciMedJ-2020-02-SI-1</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="54818">
                <text>Public aspects of medicine, Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>How to Optimize the Supply and Allocation of Medical Emergency Resources During Public Health Emergencies</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Jürgen Kurths, Chunyu Wang, Yue Deng, Ziheng Yuan, Chijun Zhang, Fan Zhang, Qing Cai, Chao Gao, Chao Gao, Jurgen Kurths</text>
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            <description>An account of the resource</description>
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                <text>The solutions to the supply and allocation of medical emergency resources during public health emergencies greatly affect the efficiency of epidemic prevention and control. Currently, the main problem in computational epidemiology is how the allocation scheme should be adjusted in accordance with epidemic trends to satisfy the needs of population coverage, epidemic propagation prevention, and the social allocation balance. More specifically, the metropolitan demand for medical emergency resources varies depending on different local epidemic situations. It is therefore difficult to satisfy all objectives at the same time in real applications. In this paper, a data-driven multi-objective optimization method, called as GA-PSO, is proposed to address such problem. It adopts the one-way crossover and mutation operations to modify the particle updating framework in order to escape the local optimum. Taking the megacity Shenzhen in China as an example, experiments show that GA-PSO effectively balances different objectives and generates a feasible allocation strategy. Such a strategy does not only support the decision-making process of the Shenzhen center in terms of disease control and prevention, but it also enables us to control the potential propagation of COVID-19 and other epidemics.</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, Multi-objective optimization, computational epidemiology, epidemic propagation, emergence management, medical emergency resources</text>
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                <text>10.3389/fphy.2020.00383</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</text>
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                <text>European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery</text>
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                <text>Sex education in the United States is often approached through an individual lens that focuses on personal protection, safety, and rights. This focus on personal responsibility and care-for-self reflects national values and permeates governmental systems and actions, including generalized public health approaches. This issue has been most recently highlighted in the individual and systemic attitudes, beliefs, and responses towards the recent, ongoing crisis following the global surge of COVID-19. In this paper, we provide examples and discuss lessons gleaned from the public health response to this crisis, particularly in the areas and intersections of gender, individualism, and neoliberalism, and the parallels of these issues in sex education. We make an appeal for a collectivist and community-oriented approach to sex education, which would focus not only on prevention and protection, but on inequities, ethics, and care for others.</text>
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                <text>Pandemic, health, neoliberalism, citizenship, SEX EDUCATION, Condoms</text>
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                <text>10.3390/ijerph18084144</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How to rapidly design and operationalise PPE donning and doffing areas for a COVID-19 care facility: quality improvement initiative</text>
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                <text>LaxmiTej Wundavalli, Sheetal Singh, Angel Rajan Singh, Sidhartha Satpathy</text>
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                <text>Introduction Effective implementation of standard precautions specific to COVID-19 is a challenge for hospitals within the existing constraints of time and resources.Aim To rapidly design and operationalise personal protective equipment (PPE) donning and doffing areas required for a COVID-19 care facility.Methods Literature review was done to identify all issues pertaining to donning and doffing in terms of Donabedian’s structure, process and outcome. Training on donning and doffing was given to hospital staff. Donning and doffing mock drills were held. 5S was used as a tool to set up donning and doffing areas. Instances of donning and doffing were observed for protocol deviations and errors. Plan–do–study–act cycles were conducted every alternate day for 4 weeks. The initiative was reported using Standards for QUality Improvement Reporting Excellence (SQUIRE) guidelines.Results Best practices in donning and doffing were described. Our study recommends a minimum area of 16 m2 each for donning and doffing rooms. Verbally assisted doffing was found most useful than visual prompts.Discussion Challenges included sustaining the structure and process of donning and doffing, varied supplies of PPE which altered sequencing of donning and/or doffing, and training non-healthcare workers such as plumbers, electricians and drivers who were required during emergencies in the facility.Conclusion Our study used evidence-based literature and quality improvement (QI) tools to design and operationalise donning and doffing areas with focus on people, task and environment. Our QI will enable healthcare facilities to rapidly prototype donning and doffing areas in a systematic way.</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Philip F. Stahel</text>
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                <text>coronavirus, COVID-19, resource utilization, emergency preparedness, Elective surgery</text>
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                <text>DOI: 10.1186/s13037-020-00235-9</text>
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                <text>Patient Safety in Surgery</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How to Screen Suitable Service Improve Community Health Care Services by University Students in Taiwan</text>
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                <text>Guey-Shin Shyu, Wei-Ta Fang, Bai-You Cheng, Shinn-Jou Lin</text>
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                <text>Engaging in social contributions to enhance social participation and attending community experiential service learning or internship courses have become an essential learning experience for university students. On the basis of postmodern education theories, this study adopted images and oral accounts involving personal experiences to construct a postmodern education research scheme by using the method of collaborative ethnography. This study selected and performed the following services: filming a community documentary, administering community health dance classes, and archiving community cultural artifacts in databases. Interviews were also administered to facilitate implementation of the actual services. Community health services commonly seen in Taiwan and abroad were compiled, and the resources required for each service were examined. Subsequently, factor analysis was performed to explore the characteristic of these services in order to recommend feasible services for university students to undertake. The results indicated that the eight resources required for the 59 common community health services were (1) a designated space or venue, (2) materials, (3) monetary resources, (4) human resources, (5) expertise, (6) professional equipment, (7) patience, and (8) empathy. The results revealed three principal components, namely labor services, high-resource services, and professional services, for a total explanatory power of 67.99%; the individual explanatory power of these components accounted for 25.04%, 21.81%, and 21.15%, respectively. Next, community health care services suitable for university students to perform were selected and implemented, and these services were well received. The study results indicated that community and environmental justice can be realized by identifying with the value of community health services and promoting postmodern education theories and social norms. The research results are suitable for implementation after the COVID-19 pandemic.</text>
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                <text>factor analysis, Community Health Services, postmodern education theories</text>
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                <text>10.3390/ijerph17155402</text>
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                <text>Korean Society of Epidemiology</text>
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