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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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Tue Jun 28 2022
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Thu Mar 30 2017
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Iraqi Journal Of Pharmaceutical Sciences ( P-issn: 1683 - 3597 , E-issn : 2521 - 3512)
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t:

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Dust storms are typical in arid and semi-arid regions such as the Middle East; the frequency and severity of dust storms have grown dramatically in Iraq in recent years. This paper identifies the dust storm sources in Iraq using remotely sensed data from Meteosat-spinning enhanced visible and infrared imager (SEVIRI) bands. Extracted combined satellite images and simulated frontal dust storm trajectories, using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, are used to identify the most influential sources in the Middle East and Iraq. Out of 132 dust storms in Iraq during 2020–2023, the most frequent occurred in the spring and summer. A dust source frequency percentage map (DSFPM) is generated using ArcGIS so

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