646 10 20655 https://www.socictopen.socict.org/files/original/7fcc5c7d630374bf80670e94134bd7fb.pdf 7f3197a0711a5152930ee1c1ed333f62 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 Impacts of a COVID-19 E-Service-Learning Module in a Non-Major Biology Course. Creator An entity primarily responsible for making the resource Sarah Adkins-Jablonsky, Ryleigh Fleming, Marco Esteban, Diana Bucio, J Jeffrey Morris, Samiksha Raut Description An account of the resource Educators need to create an informed scientifically aware citizenry, especially in the era of the COVID-19 pandemic, where public health measures have focused on increasing adoption of safe behaviors for reducing the transmission of COVID-19. Non-major science students make up an important, yet understudied, part of our public, given that they constitute tomorrow's voters, workers, consumers, and policy-makers. Expecting that non-majors may benefit from a module connecting COVID-19 to community education, we implemented a novel E-service-learning module in light of the transition from an in-person course to an online platform. Our 4-week module included expert-led lectures, assigned digital infographics about COVID-19 safety precautions, and a required post-reflection assignment summarizing their learning gains. Out of 112 enrolled students, 87 consented to have their reflections analyzed and 8 students chose to participate in additional one-on-one online interviews. In an effort to determine which parts of our module garnered the most student commentary, we grouped post-reflection and interview data into four categories: service-learning infographic, service-learning guest lectures, information on COVID-19, and the broader implications of COVID-19. While 13% of students explicitly referenced infographics in their reflections, a far greater proportion (37%) explicitly referenced learning gains related to the expert-led lectures. Based on these findings, we encourage other educators to continue to explore the impact of E-service-learning content and assignments to help maximize learning in an online classroom environment during the COVID-19 pandemic and beyond. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1128/jmbe.v22i1.2489 Source A related resource from which the described resource is derived Journal of Microbiology & Biology Education Publisher An entity responsible for making the resource available American Society for Microbiology https://www.socictopen.socict.org/files/original/4711dd9ae99bb8cbbd1e9b218d6a219a.pdf cadbd06b8aed03e0cb29f50e6ade46ea 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 Role of Anxiety and Cortisol in Outcomes of Patients With Covid-19 Creator An entity primarily responsible for making the resource Hossein Pakdaman, Omidvar Rezaei, Leila Simani, Mahtab Ramezani, Ehsan Karimialavijeh, Mohammadreza Hajiesmaeili Description An account of the resource Introduction: The outbreak due to Coronavirus Disease 2019 (COVID-19) is n global public health emergency and challenges psychological resilience. The central nervous system, endocrine system, and immune system are complex interacting systems. Cortisol has been implicated as the cause of a wide range of mental and physical health disorders; however, the impact of cortisol on outcomes in patients with COVID-19 is not clear. Methods: The current study enrolled patients with COVID-19 (onset of disease within 7 days of the first symptom) to evaluate the serum concentration of cortisol and levels of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) to investigate a possible relationship between cortisol, depression, and anxiety levels and outcomes of patients with COVID-19.  Results: A total of 30 patients with COVID-19 were studied. The levels of cortisol and HADS score in patients who died of Covid-19 were significantly higher in comparison with surviving patients (P 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, covid-19, Stress, cortisol Source A related resource from which the described resource is derived Basic and Clinical Neuroscience Publisher An entity responsible for making the resource available Iran University of Medical Sciences Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Neurosciences. Biological psychiatry. Neuropsychiatry https://www.socictopen.socict.org/files/original/2cac9afe2160e15cea09b158eacd37b3.pdf e5264f3505b6c8c2619f40be42b084a9 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 Is Point-of-Care testing feasible and safe in care homes in England? An exploratory usability and accuracy evaluation of a Point-of-Care Polymerase Chain Reaction test for SARS-COV-2. Creator An entity primarily responsible for making the resource Massimo Micocci, Adam L Gordon, Mikyung Kelly Seo, A Joy Allen, Kerrie Davies, Dan Lasserson, Carl Thompson, Karen Spilsbury, Cyd Akrill, Ros Heath, Anita Astle, Claire Sharpe, Rafael Perera, Gail Hayward, Peter Buckle Description An account of the resource Reliable rapid testing for COVID-19 is needed in care homes to reduce the risk of outbreaks and enable timely care. This study aimed to examine the usability and test performance of a point of care polymerase chain reaction (PCR) test for detection of SARS-COV2 (POCKITTM Central) in care homes. POCKITTM Central was evaluated in a purposeful sample of four UK care homes. Test agreement with laboratory real-time PCR and usability and use errors were assessed. No significant usability-related hazards emerged, and the sources of error identified were found to be amendable with minor changes in training or test workflow. POCKITTM Central has acceptable sensitivity and specificity based on RT-PCR as the reference standard, especially for symptomatic cases.Asymptomatic specimens showed 83.3% (95% CI: 35.9%-99.6%) positive agreement and 98.7% negative agreement (95% CI: 96.2%-99.7%), with overall prevalence and bias-adjusted kappa (PABAK) of 0.965 (95% CI: 0.932- 0.999). Symptomatic specimens showed 100% (95% CI: 2.5%-100%) positive agreement and 100% negative agreement (95% CI: 85.8%-100%), with overall PABAK of 1.Recommendations are provided to mitigate the frequency of occurrence of the residual use errors observed. Integration pathways were discussed to identify opportunities and limitations of adopting POCKIT™ Central for screening and diagnostic testing purposes. Point-of-care PCR testing in care homes can be considered with appropriate preparatory steps and safeguards. Further diagnostic accuracy evaluations and in-service evaluation studies should be conducted, if the test is to be implemented more widely, to build greater certainty on this initial exploratory analysis. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, point-of-care testing, older people, polymerase chain reaction (PCR), care homes Identifier An unambiguous reference to the resource within a given context 10.1093/ageing/afab072 Source A related resource from which the described resource is derived Age and ageing https://www.socictopen.socict.org/files/original/a780e9a54c7e5a2cf3d9023b51304487.pdf 2c68e175ee2d4f6cfaf6b7e5bbbeaa4c 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 of Coronavirus Disease 2019 (COVID-19) Prevention Practices Using Health Belief Model Among Employees in Addis Ababa, Ethiopia, 2020 Creator An entity primarily responsible for making the resource Tadesse T, Alemu T, Amogne G, Endazenaw G, Mamo E Description An account of the resource Trhas Tadesse,1 Tadesse Alemu,2 Getasew Amogne,3 Getabalew Endazenaw,1 Ephrem Mamo1 1Public Health Department, Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia; 2Public Health Department, Universal Medical and Business College, Addis Ababa, Ethiopia; 3School of Pharmacy, Wollo University, Dessie, EthiopiaCorrespondence: Trhas TadessePublic Health Department, Yekatit 12 Hospital Medical College, Addis Ababa, EthiopiaTel +251912053189Email ttrhas@gmail.comBackground: Ethiopia has taken strict preventive measures against COVID-19 to control its spread, to protect citizens, and ensure their wellbeing. Employee’s adherence to preventive measures is influenced by their knowledge, perceived susceptibility, severity, benefit, barrier, cues to action, and self-efficacy. Therefore, this study investigated the predictors of COVID-19 prevention practice using the Health Belief Model among employees in Addis Ababa, Ethiopia, 2020.Methods: Multicentre cross-sectional study design was used. A total of 628 employees selected by systematic sampling method were included in this study. Data were collected using a pretested self-administered questionnaire. Summary statistics of a given data for each variable were calculated. Logistic regression model was used to measure the association between the outcome and the predictor variable. Statistical significance was declared at p-value< 0.05. Direction and strength of association were expressed using OR and 95% CI.Results: From a total of 628 respondents, 432 (68.8%) of them had poor COVID-19 prevention practice. Three hundred ninety-one (62.3%), 337 (53.7%), 312 (49.7), 497 (79.1%), 303 (48.2%) and 299 (52.4%) of the respondents had high perceived susceptibility, severity, benefit, barrier, cues to action and self-efficacy to COVID-19 prevention practice, respectively. Employees with a low level of perceived barriers were less likely to have a poor practice of COVID-19 prevention compared to employees with a high level of perceived barrier [AOR = 0.03, 95% CI (0.01,0.05)]. Similarly, employees with low cues to action and employees with a low level of self-efficacy were practiced COVID prevention measures to a lesser extent compared those with high cues to action and high level of self-efficacy [AOR = 0.05, 95% CI (0.026,0.10)] and [AOR = 0.08, 95% CI (0.04,0.14)], respectively.Conclusion: The proportion of employees with poor COVID-19 prevention was high. Income, perceived barrier, cues to action, and self-efficacy were significantly associated with COVID-19 prevention practice.Keywords: predictor, COVID-19, Health Belief Model, employees 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, Predictor, employees, Health Belief Model 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 Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/2904fd475ebb89f09b80fc021a3c2f6c.pdf 4dede99a2916d8c125004ddb6f063cc2 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 Knowledge, Attitude, Practice, and Associated Factors Regarding the Novel Coronavirus Disease 2019 (COVID-19) Pandemic Creator An entity primarily responsible for making the resource Wake AD Description An account of the resource Addisu Dabi Wake Nursing Department, College of Health Sciences, Arsi University, Asella, Oromia, EthiopiaCorrespondence: Addisu Dabi WakeNursing Department, College of Health Sciences, Arsi University, P.O. Box: 393/04, Asella, Oromia, EthiopiaTel +251 910 2867 66Email addansa12@gmail.comAbstract: It is recognized that novel coronavirus disease 2019 (COVID-19) originated from China and quickly crossed all borders by infecting individuals of all age categories throughout the entire world. Since March 11, 2020, the day the novel COVID-19 outbreak was declaration by the WHO as a COVID-19 pandemic, it has caused substantial morbidity and mortality globally. It has become a priority of global society because of the severe impact it puts in all dimensions. Therefore, the present review was intended to examine the knowledge, attitude, practice, and associated factors towards COVID-19. The review addressed the vital points for the health professionals giving care for COVID-19 patients, stakeholders participating on this pandemic virus, health policy-makers and implementers, researchers, and for the populations as a whole. The majority of the studies reflect a good knowledge, positive attitude, and good practice towards COVID-19 respective to their countries. Some studies have identified factors associated with knowledge, attitude, and practice regarding COVID-19. For instance, age, educational level, residence, monthly income, profession, gender, marital status, and news media were factors significantly associated with knowledge. Age, occupation, educational level, monthly income, gender, residence, knowledge, and practice were factors significantly associated with attitude. Age, marital status, educational level, residence, monthly income, knowledge, gender, and attitude were factors significantly associated with practice. The majority of the studies reported a good level of knowledge, optimistic attitude, and a good level of practice about COVID-19. But, some studies showed unimpressive knowledge, attitude, and practice towards COVID-19. An improvement is needed, and community education should take place as usual with a commitment by using all the strategies that could support improving the knowledge, attitude, and practice of the population. Training should be provided for healthcare workers to update and make them more effective in diagnosing, managing, and controlling this pandemic. The integration of good knowledge, a positive attitude, and sufficient practice towards COVID-19 could contribute a significant and essential role in controlling this pandemic.Keywords: knowledge, attitude, practice, pandemic, COVID-19, novel coronavirus disease 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, Knowledge, practice, attitude, Pandemic, novel coronavirus disease 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 Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/fb7340e4091ac9f8db586370aded3bac.pdf b467bfb7c78bca712712ae8d6ea56271 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 Sunitinib reduces the infection of SARS-CoV, MERS-CoV and SARS-CoV-2 partially by inhibiting AP2M1 phosphorylation. Creator An entity primarily responsible for making the resource Pei-Gang Wang, Dong-Jiang Tang, Zhan Hua, Zai Wang, Jing An Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource membrane fusion, endocytosis Identifier An unambiguous reference to the resource within a given context 10.1038/s41421-020-00217-2 Source A related resource from which the described resource is derived Cell discovery https://www.socictopen.socict.org/files/original/17ed8c632884a1902435e691ab4cda22.pdf 90f73a268da2a6627bac32b7b7b1ec9c 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 Updated characterization of poliovirus transmission in Pakistan and Afghanistan and the impacts of different outbreak response vaccine options. Creator An entity primarily responsible for making the resource Kimberly M Thompson, Dominika A Kalkowska, Mark A Pallansch, Stephen L Cochi Description An account of the resource Pakistan and Afghanistan remain the only reservoirs of wild poliovirus transmission. Prior modeling suggested that before the COVID-19 pandemic, plans to stop the transmission of serotype 1 wild poliovirus (WPV1) and persistent serotype 2 circulating vaccine-derived poliovirus (cVDPV2) did not appear on track to succeed. We updated an existing poliovirus transmission and Sabin-strain oral poliovirus vaccine (OPV) evolution model for Pakistan and Afghanistan to characterize the impacts of immunization disruptions and restrictions on human interactions (i.e., population mixing) due to the COVID-19 pandemic. We also consider different options for responding to outbreaks and for preventive supplementary immunization activities (SIAs). The modeling suggests that with some resumption of activities in the fall of 2020 to respond to cVDPV2 outbreaks and full resumption on January 1, 2021 of all polio immunization activities to pre-COVID-19 levels, Pakistan and Afghanistan would remain off-track for stopping all transmission through 2023 without improvements in quality. Using trivalent OPV (tOPV) for SIAs instead of serotype 2 monovalent OPV (mOPV2) offers substantial benefits for ending the transmission of both WPV1 and cVDPV2, because tOPV increases population immunity for both serotypes 1 and 2 while requiring fewer SIA rounds, when effectively delivered in transmission areas. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource dynamic modeling, Outbreak response, Polio, eradication Identifier An unambiguous reference to the resource within a given context 10.1093/infdis/jiab160 Source A related resource from which the described resource is derived The Journal of infectious diseases https://www.socictopen.socict.org/files/original/6ab4c0b86e8d39a1b9ddaeb988c5900a.pdf ec3ae70519878d4683e4cc5e2d37bb5d 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 in the Age of Artificial Intelligence: A Comprehensive Review. Creator An entity primarily responsible for making the resource Akhtar Jamil, Alaa Ali Hameed, Jawad Rasheed, Fadi Al-Turjman, Ahmad Rasheed Description An account of the resource The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the growing pandemic on urgent basis, there is need to design effective solutions using new techniques that could exploit recent technology, such as machine learning, deep learning, big data, artificial intelligence, Internet of Things, for identification and tracking of COVID-19 cases in near real time. These technologies have offered inexpensive and rapid solution for proper screening, analyzing, prediction and tracking of COVID-19 positive cases. In this paper, a detailed review of the role of AI as a decisive tool for prognosis, analyze, and tracking the COVID-19 cases is performed. We searched various databases including Google Scholar, IEEE Library, Scopus and Web of Science using a combination of different keywords consisting of COVID-19 and AI. We have identified various applications, where AI can help healthcare practitioners in the process of identification and monitoring of COVID-19 cases. A compact summary of the corona virus cases are first highlighted, followed by the application of AI. Finally, we conclude the paper by highlighting new research directions and discuss the research challenges. Even though scientists and researchers have gathered and exchanged sufficient knowledge over last couple of months, but this structured review also examined technological perspectives while encompassing the medical aspect to help the healthcare practitioners, policymakers, decision makers, policymakers, AI scientists and virologists to quell this infectious COVID-19 pandemic outbreak. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource infectious diseases, covid-19, SARS-CoV-2, machine learning, deep learning, drug discovery, Disease prediction Identifier An unambiguous reference to the resource within a given context 10.1007/s12539-021-00431-w Source A related resource from which the described resource is derived Interdisciplinary sciences, computational life sciences https://www.socictopen.socict.org/files/original/6c3f74a2678d8f0981a1859eda6c0d60.pdf 01082ead28624a40850d51ad541254d6 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 Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis Creator An entity primarily responsible for making the resource Kwok, Stephen Wai Hang, Vadde, Sai Kumar, Wang, Guanjin Description An account of the resource BackgroundCOVID-19 is one of the greatest threats to human beings in terms of health care, economy, and society in recent history. Up to this moment, there have been no signs of remission, and there is no proven effective cure. Vaccination is the primary biomedical preventive measure against the novel coronavirus. However, public bias or sentiments, as reflected on social media, may have a significant impact on the progression toward achieving herd immunity. ObjectiveThis study aimed to use machine learning methods to extract topics and sentiments relating to COVID-19 vaccination on Twitter. MethodsWe collected 31,100 English tweets containing COVID-19 vaccine–related keywords between January and October 2020 from Australian Twitter users. Specifically, we analyzed tweets by visualizing high-frequency word clouds and correlations between word tokens. We built a latent Dirichlet allocation (LDA) topic model to identify commonly discussed topics in a large sample of tweets. We also performed sentiment analysis to understand the overall sentiments and emotions related to COVID-19 vaccination in Australia. ResultsOur analysis identified 3 LDA topics: (1) attitudes toward COVID-19 and its vaccination, (2) advocating infection control measures against COVID-19, and (3) misconceptions and complaints about COVID-19 control. Nearly two-thirds of the sentiments of all tweets expressed a positive public opinion about the COVID-19 vaccine; around one-third were negative. Among the 8 basic emotions, trust and anticipation were the two prominent positive emotions observed in the tweets, while fear was the top negative emotion. ConclusionsOur findings indicate that some Twitter users in Australia supported infection control measures against COVID-19 and refuted misinformation. However, those who underestimated the risks and severity of COVID-19 may have rationalized their position on COVID-19 vaccination with conspiracy theories. We also noticed that the level of positive sentiment among the public may not be sufficient to increase vaccination coverage to a level high enough to achieve vaccination-induced herd immunity. Governments should explore public opinion and sentiments toward COVID-19 and COVID-19 vaccination, and implement an effective vaccination promotion scheme in addition to supporting the development and clinical administration of COVID-19 vaccines. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.2196/26953 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, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/d0bfa5eb268ce9dcc34988160ec06cac.pdf a3cd40bdff78523aec6dfde485666544 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 Modeling of SARS-CoV-2 Exposure Reduction Through Physically Distanced Seating in Aircraft Cabins Using Bacteriophage Aerosol - November 2020. Creator An entity primarily responsible for making the resource Watts L Dietrich, James S Bennett, Byron W Jones, Mohammad H Hosni Description An account of the resource Aircraft can hold large numbers of persons in close proximity for long periods, which can increase the risk for transmission of infectious disease.* Current CDC guidelines recommend against travel for persons who have not been vaccinated against COVID-19, and a January 2021 CDC order requires masking for all persons while on airplanes.†,§ Research suggests that seating proximity on aircraft is associated with increased risk for infection with SARS-CoV-2, the virus that causes COVID-19 (1,2). However, studies quantifying the benefit of specific distancing strategies to prevent transmission, such as keeping aircraft cabin middle seats vacant, are limited. Using bacteriophage MS2 virus as a surrogate for airborne SARS-CoV-2, CDC and Kansas State University (KSU) modeled the relationship between SARS-CoV-2 exposure and aircraft seating proximity, including full occupancy and vacant middle seat occupancy scenarios. Compared with exposures in full occupancy scenarios, relative exposure in vacant middle seat scenarios was reduced by 23% to 57% depending upon the modeling approach. A 23% exposure reduction was observed for a single passenger who was in the same row and two seats away from the SARS-COV-2 source, rather than in an adjacent middle seat. When quantifying exposure reduction to a full 120-passenger cabin rather than to a single person, exposure reductions ranging from 35.0% to 39.4% were predicted. A 57% exposure reduction was observed under the vacant middle seat condition in a scenario involving a three-row section that contained a mix of SARS-CoV-2 sources and other passengers. Based on this laboratory model, a vacant middle seat reduces risk for exposure to SARS-CoV-2 from nearby passengers. These data suggest that increasing physical distance between passengers and lowering passenger density could help reduce potential COVID-19 exposures during air travel. Physical distancing of airplane passengers, including through policies such as middle seat vacancy, could provide additional reductions in SARS-CoV-2 exposure risk. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.15585/mmwr.mm7016e1 Source A related resource from which the described resource is derived MMWR. Morbidity and mortality weekly report