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Oral health awareness, attitude towards dental treatment, fear of infection and economic impact during COVID‐19 pandemic in the Middle East
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Abstract<sec><title>Objectives

To assess the impact of COVID‐19 on oral hygiene (OH) awareness, attitude towards dental treatment, fear of infection and economic impact in the Middle East.

Methods

This survey was performed by online distribution of questionnaires in three countries in the Middle East (Jordan, Iraq and Egypt). The questionnaire consisted of five sections: the first section was aimed at collecting demographic data and the rest sections used to assess OH awareness, attitude towards dental treatment, degree of fear and economic impact of COVID‐19. The answers were either multiple choice, closed‐end (Yes or No) or 5‐point Likert scale for the last four sections.

Results

A total of 3782 respondents completed the questionnaire. Overall, OH awareness was low (mean ±SD; 1.84 ± 1.03), while attitude towards dental treatment (5.04 ± 1.68) and economic impact (11.29 ± 4.37) were moderately affected. In addition, fear of infection showed moderately high level (14.04 ± 4.11). All subgroups of the demographic variables showed significant differences among them in relation to OH awareness and attitude towards dental treatment. The regression model suggested country, gender, age, education level, income level and fear as predictors for OH awareness (R2 0.036) and attitude towards dental care (R2 0.141).

Conclusions

The pandemic negatively impacted the level of OH awareness. However, the attitude towards dental treatment was moderately affected. Increasing public fear and compromised economy influenced OH awareness and the attitude towards dental treatment.

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Publication Date
Mon Jan 01 2024
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Bio Web Of Conferences
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Statistical learning theory serves as the foundational bedrock of Machine learning (ML), which in turn represents the backbone of artificial intelligence, ushering in innovative solutions for real-world challenges. Its origins can be linked to the point where statistics and the field of computing meet, evolving into a distinct scientific discipline. Machine learning can be distinguished by its fundamental branches, encompassing supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Within this tapestry, supervised learning takes center stage, divided in two fundamental forms: classification and regression. Regression is tailored for continuous outcomes, while classification specializes in c

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Tue Jul 02 2024
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
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Wed Apr 26 2023
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Wed Jan 01 2020
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Morphological and histological study of trachea in Iraqi Weasel, Herpestes Javanicus
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Publication Date
Sun Apr 07 2013
Journal Name
Journal Of Educational And Psychological Researches
Determinants of using experimental groups and choosing reasons in psychological researches
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Publication Date
Sun Oct 21 2018
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Thrombocytosis and CA125 as Predictor of Malignancy in Gynaecological Pelvic Mass
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Publication Date
Thu Jun 30 2016
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Objective: To localize and quantify brown adipocytes in
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Publication Date
Thu Jan 30 2014
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