1078 10 20655 https://www.socictopen.socict.org/files/original/a51085450b588294d67b2adc798cee3e.pdf f7f9c2205705b197b55f14a1cc2b5f0c 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 Guidance concerning chiropractic practice in response to COVID-19 in the U.S.: a summary of state regulators’ web-based information Creator An entity primarily responsible for making the resource Shawn M. Neff, Christopher B. Roecker, Casey S. Okamoto, Samuel L. Holguin, Jason G. Napuli, Ross Mattox, Nathan A. Hinkeldey, David J. Paris Description An account of the resource Abstract Introduction The COVID-19 pandemic led to unprecedented changes, as many state and local governments enacted stay-at-home orders and non-essential businesses were closed. State chiropractic licensing boards play an important role in protecting the public via regulation of licensure and provision of guidance regarding standards of practice, especially during times of change or uncertainty. Objective The purpose of this study was to summarize the guidance provided in each of the 50 United States, related to chiropractic practice during the COVID-19 pandemic. Methods A review of the public facing websites of governors and state chiropractic licensing boards was conducted in the United States. Data were collected regarding the official guidance provided by each state’s chiropractic licensing board as well as the issuance of stay-at-home orders and designations of essential personnel by state governors. Descriptive statistics were used to report the findings from this project. Results Each of the 50 state governor’s websites and individual state chiropractic licensing board’s websites were surveyed. Stay-at-home or shelter-in-place orders were issued in 86% of all states. Chiropractors were classified as essential providers in 54% of states, non-essential in one state (2%), and no guidance was provided in the remaining 44% of all states. Fourteen states (28%) recommended restricting visits to only urgent cases and the remaining states (72%) provided no guidance. Twenty-seven states (54%) provided information regarding protecting against infectious disease and the remaining states (46%) provided no guidance. Twenty-two states (44%) provided recommendations regarding chiropractic telehealth and the remaining states (56%) provided no guidance. Seventeen states (34%) altered license renewal requirements and eight states (16%) issued warnings against advertising misleading or false information regarding spinal manipulation and protection from COVID-19. Conclusion State guidance during the COVID-19 pandemic was heterogenous, widely variability in accessibility, and often no guidance was provided by state chiropractic licensing boards. Some state chiropractic licensing boards chose to assemble guidance for licensees into a single location, which we identified as a best practice for future situations where changes in chiropractic practice must be quickly communicated. 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, Coronavirus disease 2019, 2019 novel coronavirus disease, Chiropractic, Licensure, GOVERNING BOARD Identifier An unambiguous reference to the resource within a given context 10.1186/s12998-020-00333-6 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 Diseases of the musculoskeletal system, Chiropractic https://www.socictopen.socict.org/files/original/1e51afedd1ea6f0156c3f34c7ac72f90.pdf b9ed412953122e0f45ae53606b92d676 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 Development of theoretical and methodological support for evaluating the feasibility of strategic measures to ensure the economic sustainability of the country Creator An entity primarily responsible for making the resource Rony Masud Description An account of the resource The object of research is the process of assessing two different situations before and after COVID-19, as well as recognizing these problems and ways to minimize losses, using the example of Bangladesh. This paper describes the economy of Bangladesh before the outbreak of the pandemic, the relationship between the two different sides of the economy, the likely impact of this pandemic in the coming fiscal years, and proposals that can minimize the risks of loss. The global economy is linked through cross-border flows of goods, services, financial capital, foreign direct investment, remittances, exchange rates, know-how, people, resources, experts, and international banking. Therefore, the most significant negative impacts on Bangladesh are the decline in exports of ready-made garments, the cessation of tourism and air travel, a decrease in the number of financial transactions, the closure of commercial firms, a decrease in local consumption, and many entrepreneurs and workers are left without work. Over the past 30 years, the country's GDP has been growing. This gave the country the fastest growing economy in the Asia-Pacific region, even considering the fact that it is a land of natural disasters such as floods, cyclones, droughts, famines, storm surges, river bank erosion, earthquakes, droughts, salinization of groundwater and tsunamis. In addition, Bangladesh has a track record of accelerating GDP growth when the world faced a global recession called the Wal-Mart effect. During the work, general scientific and special research methods were used. Data included Bangladesh's real GDP, reserves, exports, imports, remittances, and foreign aid. It has been proven that to stimulate the economy, governments must take both fiscal and monetary measures, and policies and rules will be more effective if fiscal and monetary policies are well aligned. 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, financial policy, economic progress, economic damage, Bangladesh economy, tourism and travel, reserves and remittances Identifier An unambiguous reference to the resource within a given context 10.15587/2706-5448.2020.210854 Source A related resource from which the described resource is derived Technology Audit and Production Reserves Publisher An entity responsible for making the resource available PC Technology Center 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), Business https://www.socictopen.socict.org/files/original/132cd73a71cd196044522064c4b974aa.pdf a43de394bc40fcdae223d65719040ec1 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 Пандемія та дистанційна освіта: на шляху до підприємницького університету Creator An entity primarily responsible for making the resource O. Kushnir, V. Pilipenko, O. Yakovleva Description An account of the resource Особливості технологічного устрою суспільства впливають на розвиток закладів освіти, в тому числі і вищої. П’ятий технологічний устрій потребує від університетів інноваційно-технологічних практик, реалізації підприємництва, досліджень та проривних розробок. Проблему стагнації закладів освіти в Україні намагаються вирішити різними методами. Міністерство освіти і науки України перебудовою законодавчу та нормативну базу, філософія освіти шукає цінності, на яких має будуватись навчання майбутнього покоління, і кожен заклад освіти намагається реалізувати свій шлях становлення. Введення карантину у закладах вищої освіти спричинило переосмислення навчального процесу, призвело до необхідності застосування нових методів і форм роботи зі студентами. У статті здійснений аналіз джерел та висвітлена сутність підприємницького університету, визначено його особливості, а також охарактеризовано дистанційне навчання, показані відмінності дистанційного навчання від традиційного. Розглянуті зміни, які запроваджував наш інститут (Київський інститут бізнесу та технологій) для переходу в онлайн. Застосовані методи спостерігання, опитування, системного аналізу та дослідження операцій. У результатах ми подаємо дані аналізу переходу закладу вищої освіти на онлайн навчання за умов жорсткого карантину спричиненого COVID-19. Проаналізовано сильні та слабкі сторони процесу переходу. Вихід за рамки аудиторії надихнув проактивних викладачів змінити свої педагогічні методики, допомогти студентам максимально ефективно використовувати різноманітні навчальні матеріали, Інтернет, досвід інших. Інститут готовий до трансформації, до перебудови своєї організаційної структуру до побудови партнерський зв’язків і з приватними і з державними підприємствами. Чи готове українське суспільство до появи вищих навчальних закладів підприємницького типу? Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource трансформація університету; університет 3.0; цінності; філософія освіти; управління закладами освіти Identifier An unambiguous reference to the resource within a given context 10.37203/kibit.2020.44.07 Source A related resource from which the described resource is derived Вісник: Київський інститут бізнесу та технологій Publisher An entity responsible for making the resource available Kiev Institute of Business and Technology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology, Economics as a science https://www.socictopen.socict.org/files/original/dd03b73788e6e47d3814c98af8257626.pdf 4f1f2be9f9b1f82241e4e7df2371d6f5 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 Acute Splenic Artery Thrombosis and Infarction Associated with COVID-19 Disease Creator An entity primarily responsible for making the resource Osama Qasim Agha, Ryan Berryman Description An account of the resource Coronavirus 2019 disease (COVID-19) is a viral illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It emerged in Wuhan, China, in December 2019 and has caused a widespread global pandemic. The symptoms of COVID-19 can vary from mild upper respiratory symptoms to severe pneumonia with hypoxemic respiratory failure. Multiple studies and reports have reported a hypercoagulable state associated with this disease, and various recommendations have emerged to guide the use of anticoagulants for prophylaxis. We are reporting a case of symptomatic acute splenic thrombosis causing splenic infarction in a patient suffering from a severe case of COVID-19 and despite the use of an intermediate dose of low-molecular-weight heparin (LMWH). The patient was treated with full-dose anticoagulation and was eventually discharged home on a direct oral anticoagulant. 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 10.1155/2020/8880143 Source A related resource from which the described resource is derived Case Reports in Critical Care Publisher An entity responsible for making the resource available Hindawi Limited 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 https://www.socictopen.socict.org/files/original/fa8161ca87c5fabeb59513a9631d2a81.pdf a62437e05d5f0a2174fd1e40d0e5e33a 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 Collaborative networks enable the rapid establishment of serological assays for SARS-CoV-2 during nationwide lockdown in New Zealand Creator An entity primarily responsible for making the resource Michael G. Baker, Reuben McGregor, Alana L. Whitcombe, Campbell R. Sheen, James M. Dickson, Catherine L. Day, Lauren H. Carlton, Prachi Sharma, J. Shaun Lott, Barbara Koch, Julie Bennett, Stephen R. Ritchie, Shivani Fox-Lewis, Susan C. Morpeth, Susan L. Taylor, Sally A. Roberts, Rachel H. Webb, Nicole J. Moreland Description An account of the resource Background Serological assays that detect antibodies to SARS-CoV-2 are critical for determining past infection and investigating immune responses in the COVID-19 pandemic. We established ELISA-based immunoassays using locally produced antigens when New Zealand went into a nationwide lockdown and the supply chain of diagnostic reagents was a widely held domestic concern. The relationship between serum antibody binding measured by ELISA and neutralising capacity was investigated using a surrogate viral neutralisation test (sVNT). Methods A pre-pandemic sera panel (n = 113), including respiratory infections with symptom overlap with COVID-19, was used to establish assay specificity. Sera from PCR‑confirmed SARS-CoV-2 patients (n = 21), and PCR-negative patients with respiratory symptoms suggestive of COVID-19 (n = 82) that presented to the two largest hospitals in Auckland during the lockdown period were included. A two-step IgG ELISA based on the receptor binding domain (RBD) and spike protein was adapted to determine seropositivity, and neutralising antibodies that block the RBD/hACE‑2 interaction were quantified by sVNT. Results The calculated cut-off (>0.2) in the two-step ELISA maximised specificity by classifying all pre-pandemic samples as negative. Sera from all PCR-confirmed COVID-19 patients were classified as seropositive by ELISA ≥7 days after symptom onset. There was 100% concordance between the two-step ELISA and the sVNT with all 7+ day sera from PCR‑confirmed COVID-19 patients also classified as positive with respect to neutralising antibodies. Of the symptomatic PCR-negative cohort, one individual with notable travel history was classified as positive by two-step ELISA and sVNT, demonstrating the value of serology in detecting prior infection. Conclusions These serological assays were established and assessed at a time when human activity was severely restricted in New Zealand. This was achieved by generous sharing of reagents and technical expertise by the international scientific community, and highly collaborative efforts of scientists and clinicians across the country. The assays have immediate utility in supporting clinical diagnostics, understanding transmission in high-risk cohorts and underpinning longer‑term ‘exit’ strategies based on effective vaccines and therapeutics. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource spike protein, serology, covid-19, SARS-CoV-2, neutralising antibodies Identifier An unambiguous reference to the resource within a given context 10.7717/peerj.9863 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/c657d736716a8ef30744abe622b324de.pdf 1498209a795675d63d3bee348c74f847 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 Moving Average Based Index for Judging the Peak of the COVID-19 Epidemic Creator An entity primarily responsible for making the resource Yunting He, Xiaojin Wang, Hao He, Jing Zhai, Bingshun Wang Description An account of the resource A pneumonia outbreak caused by a novel coronavirus (COVID-19) has spread around the world. A total of 2,314,621 laboratory-confirmed cases, including 157,847 deaths (6.8%) were reported globally by 20 April 2020. Common symptoms of COVID-19 pneumonia include fever, fatigue, and dry cough. Faced with such a sudden outbreak of emerging infectious disease, traditional models for predicting the peak of the epidemic often show inconsistent results. With the aim to timely judge the epidemic peak and provide support for decisions for resuming production and returning to normal life based on publicly reported data, we used a seven-day moving average of log-transformed daily new cases (LMA) to establish a new index named the “epidemic evaluation index” (EEI). We used SARS epidemic data from Hong Kong to verify the practicability of the new index, and then applied it to the COVID-19 epidemic analysis. The results showed that the epidemic peaked, respectively, on 9 February and 5 February 2020, in Hubei Province and other provinces in China. The proposed index can be applied for judging the epidemic peak. While the global COVID-19 epidemic reached its peak in the middle of April, the epidemic peaks in some countries have not yet appeared. Global and united efforts are still needed to eventually eliminate the epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource infectious diseases, Epidemic, moving average, novel coronavirus COVID-19, epidemic peak, epidemic evaluation Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17155288 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/e7c2b61e559ede701e2dd153ed16350e.pdf e976406f2b4e8fbf2f61f47dd6ac2423 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 Novel Coronavirus (COVID-19) Knowledge, Precaution Practice, and Associated Depression Symptoms among University Students in Korea, China, and Japan Creator An entity primarily responsible for making the resource Bo Zhao, Fanlei Kong, Myo Nyein Aung, Motoyuki Yuasa, Eun Woo Nam Description An account of the resource This study assessed university students’ knowledge and precaution practices of Novel Coronavirus (COVID-19) in South Korea, China, and Japan, and investigated their depressive states during the pandemic. This cross-sectional survey collected data from 821 respondents, using an anonymous online questionnaire designed by the Yonsei Global Health Center, from 23 March to 20 April 2020, which included socio-demographic questions, knowledge and perceptions of COVID-19, preventative practices, and the Patient Health Questionnaire-9 (PHQ-9) scale to assess mental health. High proportions of respondents showed good knowledge of the transmission pathways and information related to COVID-19. Contact history as well as concerns about family members and the disease showed statistically significant distinctions by nationality and gender. On the whole, all participants reported good levels of preventative practices. The Chinese group reported the highest preventative practice scores; and females scored higher than males. Moreover, the Japanese group showed the most severe depressive states; overall, females experienced more severe depression than males. Thus, authorities should especially emphasize the importance of COVID-19 precautions to males. Educational departments and health authorities should observe the mental health of university adults during the pandemic and plan interventions to improve it. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource China, Korea, covid-19, Knowledge, Japan, university adults Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17186671 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/c74fe25dcbad69f8a758a0a1a6f4a7c5.pdf 746c8184cf18ec92d863fccfb3512f78 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 Statistical Forecast of Pollution Episodes in Macao during National Holiday and COVID-19 Creator An entity primarily responsible for making the resource Man Tat Lei, Joana Monjardino, Luisa Mendes, David Gonçalves, Francisco Ferreira Description An account of the resource Statistical methods such as multiple linear regression (MLR) and classification and regression tree (CART) analysis were used to build prediction models for the levels of pollutant concentrations in Macao using meteorological and air quality historical data to three periods: (i) from 2013 to 2016, (ii) from 2015 to 2018, and (iii) from 2013 to 2018. The variables retained by the models were identical for nitrogen dioxide (NO2), particulate matter (PM10), PM2.5, but not for ozone (O3) Air pollution data from 2019 was used for validation purposes. The model for the 2013 to 2018 period was the one that performed best in prediction of the next-day concentrations levels in 2019, with high coefficient of determination (R2), between predicted and observed daily average concentrations (between 0.78 and 0.89 for all pollutants), and low root mean square error (RMSE), mean absolute error (MAE), and biases (BIAS). To understand if the prediction model was robust to extreme variations in pollutants concentration, a test was performed under the circumstances of a high pollution episode for PM2.5 and O3 during 2019, and the low pollution episode during the period of implementation of the preventive measures for COVID-19 pandemic. Regarding the high pollution episode, the period of the Chinese National Holiday of 2019 was selected, in which high concentration levels were identified for PM2.5 and O3, with peaks of daily concentration exceeding 55 μg/m3 and 400 μg/m3, respectively. The 2013 to 2018 model successfully predicted this high pollution episode with high coefficients of determination (of 0.92 for PM2.5 and 0.82 for O3). The low pollution episode for PM2.5 and O3 was identified during the 2020 COVID-19 pandemic period, with a low record of daily concentration for PM2.5 levels at 2 μg/m3 and O3 levels at 50 μg/m3, respectively. The 2013 to 2018 model successfully predicted the low pollution episode for PM2.5 and O3 with a high coefficient of determination (0.86 and 0.84, respectively). Overall, the results demonstrate that the statistical forecast model is robust and able to correctly reproduce extreme air pollution events of both high and low concentration levels. 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, modelling, air pollution, national holiday, air quality forecast, pollution episodes Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17145124 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/0376aa498964237583bf7f8011c5b6de.pdf 724915e5b5ddd3ba1e71bd9e6ae14ed1 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 Effects of Port Water Injection on Spark Ignition Engine Performance and Emissions Fueled by Pure Gasoline, E5 and E10 Creator An entity primarily responsible for making the resource Farhad Salek, Meisam Babaie, Maria Dolores Redel-Macias, Ali Ghodsi, Seyed Vahid Hosseini, Amir Nourian, Martin L Burby, Ali Zare Description An account of the resource It has been proven that vehicle emissions such as oxides of nitrogen (NOx) are negatively affecting the health of human beings as well as the environment. In addition, it was recently highlighted that air pollution may result in people being more vulnerable to the deadly COVID-19 virus. The use of biofuels such as E5 and E10 as alternatives of gasoline fuel have been recommended by different researchers. In this paper, the impacts of port injection of water to a spark ignition engine fueled by gasoline, E5 and E10 on its performance and NOx production have been investigated. The experimental work was undertaken using a KIA Cerato engine and the results were used to validate an AVL BOOST model. To develop the numerical analysis, design of experiment (DOE) method was employed. The results showed that by increasing the ethanol fraction in gasoline/ethanol blend, the brake specific fuel consumption (BSFC) improved between 2.3% and 4.5%. However, the level of NOx increased between 22% to 48%. With port injection of water up to 8%, there was up to 1% increase in engine power whereas NOx and BSFC were reduced by 8% and 1%, respectively. The impacts of simultaneous changing of the start of combustion (SOC) and water injection rate on engine power and NOx production was also investigated. It was found that the NOx concentration is very sensitive to SOC variation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource NOX, ethanol, start of combustion, E10 biofuel, water port injection Identifier An unambiguous reference to the resource within a given context 10.3390/pr8101214 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 Chemistry, Chemical technology https://www.socictopen.socict.org/files/original/f343dc1b637857190b606f792a8eb68d.pdf 0f79614cfbbcbce9609093216934ba11 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 Prevalence of Underlying Diseases and Comorbidities in COVID-19 Patients; an Updated Systematic Review and Meta-analysis Creator An entity primarily responsible for making the resource Sorour Khateri, Hedyeh Mohammadi, Rozhin Khateri, Yousef Moradi Description An account of the resource Introduction: Gaining knowledge about underlying diseases and associated comorbidities in patients with COVID-19 can be beneficial in developing a proper understanding of the disease prognosis as well as comprehensive management, and treatment of the disease. The aim of this study was to determine the prevalence of underlying diseases and associated comorbidities in COVID-19 patients using a systematic review and meta-analysis. Methods: Major biomedical electronic databases, including Scopus, PubMed, Web of Science, CINAHL and EMBASE were searched for all relevant literature published in English from January to July 2020. Cross-sectional and retrospective studies reporting the prevalence of comorbid conditions such as acute cardiac injury, acute myocardial infarction, acute kidney injury, acute liver injury, shock, acute respiratory disease, and acute respiratory distress syndrome in patients with COVID-19 were included in the study. After selecting eligible studies, two authors extracted data of each study, independently, and any inconsistency was resolved through discussion with the third reviewer until reaching a consensus. The risk of bias was assessed by two independent research experts using the Newcastle-Ottawa Scale (NOS). The variance in the meta-analyses on prevalence was stabilized by double arcsine transformations. Results: The pooled prevalence of acute respiratory injury in patients with COVID-19 was estimated as 34% (95% Cl: 10 – 57%). Also, the prevalence of acute kidney injury, acute liver injury, acute respiratory distress syndrome, and shock were estimated as 10% (95% Cl: 6 - 14%), 19% (95% Cl: 10 - 27%), 23 % (95% Cl: 19 - 27%), and 12 % (95% Cl: 5 – 19 %). Conclusion: According to this meta-analysis, comorbidities such as hypertension, acute liver and kidney injury, acute respiratory distress syndrome, shock, diabetes, and coronary heart disease seem to be a predisposing factor for symptomatic and severe COVID-19 infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource shock, acute respiratory disease, Acute liver injury, Comorbidity Conditions, Acute Cardiac Injury, Comorbidity; Prognosis; COVID-19; Systematic Review; Meta-analysis Identifier An unambiguous reference to the resource within a given context 10.22037/archives of academic emergency medicine.v8i1.807 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