Yousif, MG, Zeiny, LS, Al-Amran, FG, Sadeq, AM, Rawaf, S and Al-Jumeily, D (2023) Demographics, Risk Factors, and Post-COVID-19 Syndrome Among Patients in the Middle Euphrates Region of Iraq. Advancements in Life Sciences, 10 (S1). pp. 41-45.
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Abstract
Background: The COVID-19 pandemic has had a significant impact on global health, requiring a comprehensive understanding of its regional dynamics for effective management and response strategies. This study aimed to explore the demographics, risk factors, and post-COVID-19 syndrome among patients in the Middle Euphrates region of Iraq. Methods: A total of 410 patients were included in the study, with 180 females and 230 males. Demographic characteristics, risk factors (such as smoking, and comorbidities), and post-COVID-19 syndrome manifestations were analyzed. Statistical and machine learning analyses were conducted to predict outcomes. Results: The findings revealed a diverse age range (38-83 years) of COVID-19 patients in the Middle Euphrates region. Smoking was prevalent among 93 patients, while comorbidities such as diabetes, hypertension, and obesity were observed in significant numbers. Post-COVID-19 syndrome symptoms included generalized muscle fatigue, impaired concentration and memory, joint pain, hair loss, and respiratory problems. The prevalence of these symptoms varied across different age groups. Conclusion: This study provides valuable insights into the demographics, risk factors, and post-COVID-19 syndrome among patients in the Middle Euphrates region of Iraq. The high prevalence of smoking and comorbidities highlights the importance of tailored interventions for high-risk individuals. The range of persistent symptoms emphasizes the need for comprehensive healthcare support. These findings contribute to the existing knowledge on the impact of COVID-19 in the region and can inform targeted interventions and resource allocation.
Item Type: | Article |
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Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Divisions: | Computer Science and Mathematics |
Publisher: | The RunningLine |
Related URLs: | |
SWORD Depositor: | A Symplectic |
Date Deposited: | 31 Oct 2024 12:52 |
Last Modified: | 31 Oct 2024 13:00 |
DOI or ID number: | doi.org/10.62940/als.v10i0.1994 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/24636 |
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