دانلود و نمایش مقالات مرتبط با Coronavirus::صفحه 1
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نتیجه جستجو - Coronavirus

تعداد مقالات یافته شده: 7
ردیف عنوان نوع
1 شدت و پتانسیل انتقال کرونا در کره جنوبی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 14
اهداف: ازآنجایی که اولین مورد کروناویروس جدید 2019(کوید-19) در 20 ژانویۀ 2020 در کرۀ شمالی شناسایی شد، تعداد موارد به سرعت افزایش یافت به طوری که تا 6 مارس 2020، منجربه ابتلای6284 مورد و فوت42 نفر شد. اولین تحقیق درمورد گزارش تعداد تکثیر کوید-19 در کرۀ جنوبی را برای بررسی سرعت شیوع بیماری، ارائه می دهیم.
روش کار: موارد روزانۀ تأیید شدۀ کوید-19 در کرۀ جنوبی از منابع عمومی موجود استخراج شد. با استفاده از توزیع تجربی گزارشات دارای تأخیر و شبیه سازی مدل رشد کلی، تعداد تکثیر مؤثر را برمبنای توزیع احتمال گسستۀ فاصلۀ زایشی ارزیابی کردیم.
نتایج: چهار گروه اصلی را شناسایی و تعداد تکثیر را 1.5(1.6-1.4 CI: 95%) برآورد کردیم. به علاوه، نرخ رشد طبیعی 0.6 (0.7، 0.6 CI: 95%) و مقیاس بندی پارامتر رشد 0.8 (0.8،0.7 CI: 95%) برآورد شدند، که نشان-دهندۀ پویایی رشد زیر نمایی کوید-19 می باشد. نرخ مرگ و میر موارد خام در بین مردان (1.1%) در مقایسه با زنان (0.4%) بیشتر است و با افزایش سن افزایش می یابد.
نتیجه گیری: نتایج ما انتقال پایدار اولیۀ کوید-19 در کرۀ جنوبی را نشان می دهد و از اجرای اقدامات فاصله گذاری اجتماعی برای کنترل سریع شیوع بیماری حمایت می کند.
کلمات کلیدی: کروناویروس | کوید-19 | کره | تعداد تکثیر
مقاله ترجمه شده
2 Considerations for development and use of AI in response to COVID-19
ملاحظاتی برای توسعه و استفاده از هوش مصنوعی در پاسخ به COVID-19-2020
Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions quicker than we would otherwise achieve in many fields and applications. Since the outbreak of the pandemic, there has been an upsurge in the exploration and use of AI, and other data analytic tools, in a multitude of areas. This paper addresses some of the many considerations for managing the development and deployment of AI applications, including planning; unpredictable, unexpected, or biased results; repurposing; the importance of data; and diversity in AI team membership. We provide implications for research and for practice, according to each of the considerations. Finally we conclude that we need to plan and carefully consider the issues associated with the development and use of AI as we look for quick solutions.
Keywords: Artificial intelligence | AI | Machine learning | COVID-19 | Coronavirus | AI applications | Strategy | Bias | Repurposed AI | Data | Team diversity
مقاله انگلیسی
3 Mental health and capacity laws in Northern Ireland and the COVID-19 pandemic: Examining powers, procedures and protections under emergency legislation
قوانین بهداشت و ظرفیت های روانی در ایرلند شمالی و بیماری همه گیر COVID-19: بررسی قدرت ، رویه ها و حمایت ها تحت قانون اضطراری-2020
This article examines the changes made to mental health and capacity laws in Northern Ireland through temporary emergency legislation, known as the Coronavirus Act 2020. The purpose of the legislation was to respond to the emergency situation created by the COVID-19 pandemic, in particular the increase pressure placed on health services in the United Kingdom. An overview is provided of the governments rationale for the changes to Northern Ireland mental health and capacity laws, as well as exploring how they are likely to be operationalised in practice. Consideration is also given as to how such changes may impact upon existing human rights protections for persons assessed as lacking mental capacity. It is argued that it is important that regular parliamentary oversight is maintained in relation to the potential impact and consequences of such changes during the period they are in force. This should be done in order to assess whether they remain a necessary, proportionate and least restrictive response to the challenges faced in managing mental health and capacity issues in Northern Ireland during this public health emergency.
Keywords: Mental capacity law | Mental health law | Human rights | Northern Ireland | COVID-19 | Coronavirus Act 2020 | Emergency legislation
مقاله انگلیسی
4 A Novel AI-enabled Framework to Diagnose Coronavirus COVID-19 using Smartphone Embedded Sensors: Design Study
یک چارچوب جدید مبتنی بر هوش مصنوعی برای تشخیص Coronavirus COVID-19 با استفاده از حسگرهای داخلی تلفن های هوشمند: مطالعه طراحی-2020
Coronaviruses are a famous family of viruses that cause illness in both humans and animals. The new type of coronavirus COVID-19 was firstly discovered in Wuhan, China. However, recently, the virus has widely spread in most of the world and causing a pandemic according to the World Health Organization (WHO). Further, nowadays, all the world countries are striving to control the COVID-19. There are many mechanisms to detect coronavirus including clinical analysis of chest CT scan images and blood test results. The confirmed COVID-19 patient manifests as fever, tiredness, and dry cough. Particularly, several techniques can be used to detect the initial results of the virus such as medical detection Kits. However, such devices are incurring huge cost, taking time to install them and use. Therefore, in this paper, a new framework is proposed to detect COVID-19 using built-in smartphone sensors. The proposal provides a low-cost solution, since most of radiologists have already held smartphones for different dailypurposes. Not only that but also ordinary people can use the framework on their smartphones for the virus detection purposes. Today’s smartphones are powerful with existing computationrich processors, memory space, and large number of sensors including cameras, microphone, temperature sensor, inertial sensors, proximity, colour-sensor, humidity-sensor, and wireless chipsets/sensors. The designed Artificial Intelligence (AI) enabled framework reads the smartphone sensors’ signal measurements to predict the grade of severity of the pneumonia as well as predicting the result of the disease.
Index Terms: COVID-19 | smartphone | coronavirus Detection | smartphone sensors
مقاله انگلیسی
5 Artificial Intelligence (AI) applications for COVID-19 pandemic
برنامه های هوش مصنوعی برای بیماری همه گیر COVID-19-2020
Background and aims: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods: The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results: We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions: Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
Keywords: Artificial Intelligence (AI) | AI Applications | COVID-19 | Coronavirus | Pandemic
مقاله انگلیسی
6 The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study
تجارب ارائه دهندگان مراقبت های بهداشتی در طول بحران COVID-19 در چین: یک مطالعه کیفی-2020
Background In the early stages of the outbreak of coronavirus disease 2019 (COVID-19) in Hubei, China, the local healthcare system was overwhelmed. Physicians and nurses who had no infectious disease expertise were recruited to provide care to patients with COVID-19. To our knowledge, no studies on their experiences of combating COVID-19 have been published. We aimed to describe the experiences of these health-care providers in the early stages of the outbreak. Methods We did a qualitative study using an empirical phenomenological approach. Nurses and physicians were recruited from five COVID-19-designated hospitals in Hubei province using purposive and snowball sampling. They participated in semi-structured, in-depth interviews by telephone from Feb 10 to Feb 15, 2020. Interviews were transcribed verbatim and analysed using Haase’s adaptation of Colaizzi’s phenomenological method. Findings We recruited nine nurses and four physicians. Three theme categories emerged from data analysis. The first was “being fully responsible for patients’ wellbeing—‘this is my duty’”. Health-care providers volunteered and tried their best to provide care for patients. Nurses had a crucial role in providing intensive care and assisting with activities of daily living. The second category was “challenges of working on COVID-19 wards”. Health-care providers were challenged by working in a totally new context, exhaustion due to heavy workloads and protective gear, the fear of becoming infected and infecting others, feeling powerless to handle patients’ conditions, and managing relationships in this stressful situation. The third category was “resilience amid challenges”. Health-care providers identified many sources of social support and used self-management strategies to cope with the situation. They also achieved transcendence from this unique experience. Interpretation The intensive work drained health-care providers physically and emotionally. Health-care providers showed their resilience and the spirit of professional dedication to overcome difficulties. Comprehensive support should be provided to safeguard the wellbeing of health-care providers. Regular and intensive training for all healthcare providers is necessary to promote preparedness and efficacy in crisis management. Funding National Key R&D Program of China, Project of Humanities and Social Sciences of the Ministry of Education in China.
مقاله انگلیسی
7 تاثیر کروناویروس سندرم تنفسی خاورمیانه (MERS-CoV) روی بارداری و پیامدهای پیرا زایشی (کمی پیش و پس از زایمان)
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 6
چکیده پس زمینه: کروناویروس سندرم تنفسی خاورمیانه (MERS-CoV) یک بیماری تنفسی ویروسی است. بیشتر افرادی که با MERS-CoV آلوده شده اند مبتلا به بیماری های تنفسی حاد شدیدی می شوند. آن برای اولین بار در عربستان سعودی در سال 2012 گزارش شد و از آنجا به چندین کشور دیگر انتشار پیدا کرد. ما دوره ی بالینی عفونت MERS-CoV را در یک زن باردار که در طی سه ماهه ی آخر مبتلا به این عفونت شده بود گزارش کردیم. علائم موردی. این بیمار یک زن 33 ساله بود که به عنوان پرستار مراقبت های ویژه خدمت می کرد. او در هفته ی 32 بارداری بود که بعداز تماس مستقیم با یک بیمار مبتلا به MERS-CoV با علائم تنفسی روبه رو شد. اگرچه این بیمار نارسایی تنفسی داشت و نیاز به ونتیلاسیون مکانیکی و بستری در بخش مراقبت های ویژه (ICU) پیدا کرده بود اما یک نوزاد سالم به دنیا آورد. مادر بهبود یافت. مطابق با آخرین اطلاعات ما، این اولین گزارش موردی از کرونا ویروس سندرم تنفسی خاور میانه ی تایید شده ی آزمایشگاهی در یک زن باردار است. نتایج: کرونا ویروس سندرم تنفسی خاورمیانه (MERS-CoV) موجب بیماری تنفسی حاد می شود که با ریسک بالای مرگ و میر همراه است. عوامل مختلفی مانند سن کم، ابتلا در طی مراحل آخر بارداری و تفاوت های احتمالی در پاسخ ایمنی، ممکن است به بهبودی موفقیت آمیز این بیمار کمک کرده باشند. کلمات کلیدی: MERS-CoV| بارداری| ARDS| پیامد پیش از تولد
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