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Nurses' knowledge and protective health behaviors about prevention of COVID-19 pandemic complications at Baghdad Teaching Hospitals
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BACKGROUND:

Coronavirus disease (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus, SARS-CoV-2. Infection with SARS-CoV-2 primarily occurs through binding to angiotensin-converting enzyme-2 (ACE2), which is abundantly expressed in various anatomical sites, including the nasopharynx, lungs, cardiovascular system, and gastrointestinal and genitourinary tracts. This study aimed to nurses' knowledge and protective health behaviors about prevention of covid-19 pandemic complications.

MATERIALS AND METHODS:

A descriptive design study was conducted from October 1, 2022, to March 15, 2023. A non-probability purposive sample of 50 nurses from different educational levels, genders, and departments at Baghdad teaching hospitals was selected. Data collected were analyzed using SPSS version 25.0.

RESULTS:

The study comprised an equal distribution of male and female participants, with the majority (44%) aged between 22 and 30 years. A significant proportion (52%) of nurses held institute degrees. Forty-six percent were single, and the majority (74%) had 1-5 years of experience. The mean scores were 0.70 for nurses’ knowledge and 3.22 for nurses’ protective health behaviors.

CONCLUSIONS:

The findings indicate that nurses possess satisfactory knowledge and exhibit high levels of protective health behaviors regarding complications associated with the COVID-19 pandemic. It is recommended to conduct future research focusing on nurses’ knowledge and practices related to patient care in the context of a pandemic.

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Publication Date
Sat Dec 04 2021
Journal Name
Ournal Of Global Trends In Pharmaceutical Sciences
REVIEW ARTICLE: COVID – 19: INFECTION, ORIGIN, TRANSMISSION, DIAGNOSIS, TESTS AND TREATMENT OPTIONS
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Publication Date
Wed Dec 12 2018
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Iraqi National Journal Of Nursing Specialties
Evaluation of Acute Flaccid Paralysis Surveillance System's Structure at Al-Russafa Health Directorate in Baghdad City
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Wed Aug 30 2023
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Studying the Effect of COVID-19 on Liver Enzymes and Lipid Profile in Iraqi Recovering Patients
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Sun Oct 23 2022
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In this paper, the deterministic and the stochastic models are proposed to study the interaction of the Coronavirus (COVID-19) with host cells inside the human body. In the deterministic model, the value of the basic reproduction number   determines the persistence or extinction of the COVID-19. If   , one infected cell will transmit the virus to less than one cell, as a result,  the person carrying the Coronavirus will get rid of the disease .If   the infected cell  will be able to infect  all  cells that contain ACE receptors. The stochastic model proves that if  are sufficiently large then maybe  give  us ultimate disease extinction although ,  and this  facts also proved by computer simulation.

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Publication Date
Sat Jun 06 2020
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Journal Of The College Of Education For Women
Difficulties Facing the Teaching of Writing for Students at College of Education for Women, University of Baghdad
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This research paper attempts to explore problems facing the teaching of written expression among first-year female university students. The focal point behind conducting this research is to show the importance that writing is taking as a skill in learning the language. To achieve this goal, the researcher prepared a questionnaire consisting of 20 items. The sample, whose size is 60 participants, was selected randomly from the department of Arabic, College of Education for Women, University of Baghdad. Through the use of a set of statistical means including weighting means and percentage, the findings revealed that the students face many difficulties in learning writing. The researcher suggested some recommendations, mainly improving the

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Thu Dec 01 2022
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network
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With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques.  T

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The effect of Analysis of internal environment in the quality of health care service survey study at AL_Elwiya Maternity Teaching Hospital
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Wed Mar 01 2023
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Diagnosis of COVID-19 Infection via Association Rules of Cough Encoding
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Article information: COVID-19 has roused the scientic community, prompting calls for immediate solutions to avoid the infection or at least reduce the virus's spread. Despite the availability of several licensed vaccinations to boost human immunity against the disease, various mutated strains of the virus continue to emerge, posing a danger to the vaccine's ecacy against new mutations. As a result, the importance of the early detection of COVID-19 infection becomes evident. Cough is a prevalent symptom in all COVID-19 mutations. Unfortunately, coughing can be a symptom of various of diseases, including pneumonia and inuenza. Thus, identifying the coughing behavior might help clinicians diagnose the COVID-19 infection earlier and distinguish

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Scopus
Publication Date
Thu Nov 08 2018
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Iraqi National Journal Of Nursing Specialties
Evaluation of Health Education Services at Primary Health Care Centers in Kirkuk Governorate
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