Medicinal Plants Traditionally Used in the Management of COVID-19 in Kurdistan Region of Iraq

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY Pub Date : 2022-11-15 DOI:10.14500/aro.11042
M. Abdulrahman, Fattma Z. Mohammed, S. Hamad, H. Hama, A. A. Lema
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Abstract

Coronaviruses are infectious respiratory tract illnesses, but they can also affect the digestive tract and infect both humans and animals. The new coronavirus results in complicated health problems all over the world. The most urgent concern of all researchers around the world has been the treatment of the virus. The following study aimed to use quantitative ethnobotany to help scientist in addressing the deadly virus. Expert sampling method was adopted with the aid of an in-depth interview guide. Thirty-nine respondents were interviewed. Eighty-one medicinal plant species from 35 families were documented. Males 25 (64.1%) constitute the greater percentage of the total respondents. Majority of the respondents had formal education. Eighty-one medicinal plant species from 35 families were documented. Leaves are the most utilized 25.8 followed by seed 17.7 and fruits 12.1%, respectively. Relative frequency of citation ranged from 0.5 to 0.9, whereas the FL value ranged from 0.4 to 0.85, revealing how effective the documented plant species are in the management of COVID-19 in the region. A greater amount of research into documented medicinal plants is warranted because of the high likelihood that they contain many active ingredients.
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伊拉克库尔德斯坦地区管理COVID-19的传统药用植物
冠状病毒是传染性呼吸道疾病,但它们也会影响消化道,感染人类和动物。新型冠状病毒在世界各地导致了复杂的健康问题。全世界所有研究人员最迫切关注的问题是如何治疗这种病毒。下面的研究旨在使用定量民族植物学来帮助科学家解决致命的病毒。采用专家抽样法,辅以深度访谈指南。39名受访者接受了采访。记录了35科81种药用植物。男性25人(64.1%)占总回答者的较大比例。大多数受访者接受过正规教育。记录了35科81种药用植物。叶片利用率最高(25.8%),其次是种子(17.7%)和果实(12.1%)。相对被引频次在0.5 ~ 0.9之间,而FL值在0.4 ~ 0.85之间,揭示了记录的植物物种在该地区管理COVID-19方面的有效性。对有文献记载的药用植物进行更大量的研究是有必要的,因为它们很可能含有许多有效成分。
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来源期刊
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY MULTIDISCIPLINARY SCIENCES-
自引率
33.30%
发文量
33
审稿时长
16 weeks
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