خلفية البحث: مع دخول جائحة COVID-19 عامه الثالث ، من الواضح أن آثاره تمتد إلى ما بعد الجهاز التنفسي وهي مهمة سريريًا. قد يكون لهذه العواقب أيضًا تأثير على الصحة ونوعية الحياة. ربما يكون ثلث النساء قد عانين من تغيرات عابرة في أنماط الدورة الشهرية نتيجة للضغوط المرتبطة بوباء COVID-19. وقد يكون هذا التغيير ناتجًا عن التوتر والقلق. يمكن أن يكون عدم انتظام الدورة الشهرية أو غيابها مؤشرًا على انخفاض الخصوبة ، والذي يمكن أن يرتبط بحد ذاته بعدد من الحالات المزمنة ،و قد يتسبب النزيف الحاد في الإصابة بفقر الدم وله تأثير سلبي كبير على نوعية الحياة ويشكل عبئًا اجتماعيًا واقتصاديًا ضخمًا على النساء وأسرهن والخدمات الصحية والمجتمع. الاهداف : ان الهدف من هذه الدراسة هو النظر في تأثير عدوى فيروس كورونا على مستوى الهرمونات للمرأة (استراديول (E2) ، البرولاكتين (PRL) ، الهرمون المنبه للجريب (FSH) ، والهرمون اللوتيني (LH)) ، وكذلك الحالات النزيف الغزير الذي يحدث عند النساء العراقيات قبل انقطاع الطمث المصابات بفيروس كورونا لمدة شهرين إلى ستة أشهر على الأقل. المرضى وطرق العمل/ المواد وطرق العمل: اجريت هذه الدراسة البحثية في مدينة بغداد الطبية (العيادة الاستشارية) ، من تشرين الثاني (نوفمبر) 2021 إلى نيسان (أبريل) 2022. وشملت الدراسة 100 امرأة متزوجة في سن الإنجاب تتراوح أعمارهن بين 18 و 40 سنة. تم تقسيم عينة الدراسة إلى مجموعتين ، المجموعة الاولى 50 امرأة في سن الإنجاب مصابات بالنزيف الحاد بعد الإصابة بـ COVID-19 م لمدة أربعة أشهر على الأقل ، و 50 امرأة غير مصابات بالفيروس التاجي. النتائج: أظهرت نتائج هذه الدراسة ، بمقارنة متوسط ± SD للمجموعتين ، أن مستويات LH كانت ذات دلالة إحصائية عالية لدى النساء اللواتي عانين من نزيف حاد بعد عدوى COVID-19 مقارنة بالنساء غير المصابات بـ COVID-19 ، مع قيمة p 0.000. لم تكن هناك فروق ذات دلالة إحصائية في مستويات FSH بين المجموعتين. كانت مستويات PRL أعلى من الناحية الإحصائية بالنسبة للنساء اللائي عانين من نزيف كبير بعد الإصابة بـ COVID-19 مقارنة بالنساء غير المصابات بـ COVID-19 ، بقيمة p 0.003. كان E2 ذو دلالة إحصائية عالية مقارنة بالنساء اللائي عانين من نزيف مفرط بعد عدوى COVID-19 مقارنة بالنساء غير المصابات. الاستنتاجات: تشير نتائج هذه الدراسة إلى أن النساء بعد الاصابة بـ COVID-19 قد يكون لهن تأثير على أنماط الدورة الشهرية ، ولكن هذا التأثير كان مؤقتًا ويمكن أن يكون بسبب التوتر والقلق الذي يؤثر على HPA ومبايض النساء. قد يؤدي ذلك إلى اضطراب وظائف الجهاز التناسلي الأنثوي ، حيث تظهر مستويات مرتفعة من هرمونات الغدد التناسلية مثل LH و PRL و E2 وأحيانًا تؤدي إلى حالة نزيف حاد بعد الإصابة بفيروس كورونا.
SUMMARY. The objectives of the present study were to assess the possible predictors of COVID-19 severity and duration of hospitalization and to identify the possible correlation between patient parameters, disease severity and duration of hospitalization. The study included retrospective medical record extraction of previous coron avirus COVID-19 patients in Basra hospitals, Iraq from March 1st and May 31st, 2020. The information of the participants was investigated anonymously. All the patients’ characteristics, treatments, vital signs and laboratory tests (hematological, renal and liver function tests) were collected. The analysis was conducted using the SPSS (version 22, USA). Spearman correlation was used to measure the relations
... Show MoreThis study attempts to address the importance of communicative digitization in the field of various arts for the sake of continuity of shopping and aesthetic, artistic and intellectual appreciation of artistic achievements by the recipient on various places of their residence in light of the COVID 19 crisis, and to highlight the importance of the plastic arts of the Iraqi painter exclusively and how it expresses in a contemporary way the environment or life reality in Iraq in light of this crisis. With all its implications affecting the life reality from various aspects and methods of its negative and positive employment. As for the research procedures, the researcher reviewed the research methodology represented by the descriptive ana
... Show MoreBackground and Purpose: Coronavirus has posed an unfamiliar threat to the world. Despite such circumstances, Malaysians continue to stay optimistic by keeping abreast with updates and mostly by seeking refuge in hopeful and consoling messages shared by fellow citizens. This study identified Facebook postings with positive messages, posted by Malaysians during the Movement Control Order (MCO) implemented by the Malaysian government as a form of prosocial behaviour. Methodology: Through an analytic framework consisting of Positive Discourse Analysis and Critical Discourse Analysis, 15 Facebook postings related to COVID-19 were selected and identified as positive discourse, which were coded and categorised using a thematic analysi
... Show MoreAbstract
Epidemics that afflict humankind are descending renewed, plaguing them in the place and time they spread.
- The epidemic affects individuals and the movement of societies, and its treatment requires dealing with it according to Sharia, taking into account the current data and developments.
- Integrative jurisprudence: it is intended to know the practical legal rulings deduced from the combination of evidence of two or more sciences related to one topic related to it, and among these calamities is the Corona Covid-19 pandemic.
- It is permissible to use sterile materials that contain a percentage of alcohol in sterilizing hands and fogging places, including mosques.
T
... Show MoreThe coronavirus disease 2019 (COVID-19) pandemic and the infection escalation around the globe encourage the implementation of the global protocol for standard care patients aiming to cease the infection spread. Evaluating the potency of these therapy courses has drawn particular attention in health practice. This observational study aimed to assess the efficacy of Remdesivir and Favipiravir drugs compared to the standard care patients in COVID-19 confirmed patients. One hundred twenty-seven patients showed the disease at different stages, and one hundred and fifty patients received only standard care as a control group were included in this study. Patients under the Remdesivir therapy protocol were (62.20%); meanwhile, there (30.71
... Show MoreThe COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various specialties. A cross-sectional study was conducted on 960 participants from different specialties between June 1, 2022, and April 5, 2023. The study collected demographic data, including age, gender, and socioeconomic status, as well as information on participants' sleeping habits and any COVID-19 complications they experienced. The findings indicate a significant decline in the productivity of medical staff and doctors, with an average reduction of 23% during the post-COVID-19 period. T
... Show MoreWorldwide, there is an increased reliance on COVID-19-related health messages to curb the COVID-19 outbreak. Therefore, it is vital to provide a well-prepared and authentic translation of English-language messages to reach culturally and linguistically diverse audiences. However, few studies, if any, focus on how non-English-speaking readers receive and linguistically accept the lexical choices in the messages translated into their language. The present study tested a sample of translated Arabic COVID-19-related texts that were obtained from the World Health Organization and Australian New South Wales Health websites. This study investigated to that extent Arabic readers would receive translated COVID-19 health messages and whether the t
... Show MorePatients infected with the COVID-19 virus develop severe pneumonia, which typically results in death. Radiological data show that the disease involves interstitial lung involvement, lung opacities, bilateral ground-glass opacities, and patchy opacities. This study aimed to improve COVID-19 diagnosis via radiological chest X-ray (CXR) image analysis, making a substantial contribution to the development of a mobile application that efficiently identifies COVID-19, saving medical professionals time and resources. It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. The MobileNetV2 deep-learning model performances were evaluated
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