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埃塞俄比亚西北部贡德尔市居民对2019冠状病毒病的认知与态度及相关因素:一项基于社区的横断面研究

Knowledge and attitude of the communities towards COVID-19 and associated factors among Gondar City residents, northwest Ethiopia: A community based cross-sectional study.

作者信息

Taddese Asefa Adimasu, Azene Zelalem Nigussie, Merid Mehari Woldemariam, Muluneh Atalay Goshu, Geberu Demiss Mulatu, Kassa Getahun Molla, Yenit Melaku Kindie, Tilahun Sewbesew Yitayih, Gelaye Kassahun Alemu, Mekonnen Habtamu Sewunet, Azagew Abere Woretaw, Wubneh Chalachew Adugna, Belay Getaneh Mulualem, Assimamaw Nega Tezera, Agegnehu Chilot Desta, Azale Telake, Tamiru Animut Tagele, Rade Bayew Kelkay, Taye Eden Bishaw, Andualem Zewudu, Dagne Henok, Gashaye Kiros Terefe, Kabito Gebisa Guyasa, Mekonnen Tesfaye Hambisa, Daba Sintayehu, Azanaw Jember, Adane Tsegaye, Alemayehu Mekuriaw

机构信息

Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Department of Women's and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

出版信息

PLoS One. 2021 Apr 16;16(4):e0248821. doi: 10.1371/journal.pone.0248821. eCollection 2021.

DOI:
10.1371/journal.pone.0248821
PMID:33861758
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8051777/
Abstract

BACKGROUND

COVID-19 is the novel coronavirus responsible for the ongoing global outbreak of acute respiratory disease and viral pneumonia. In order to tackle the devastating condition of the virus, countries need to attack the virus with aggressive and targeted tactics. Thus, to strengthen the COVID-19 mitigation measures and to give rapid response, there is an urgent need to understand the public's knowledge and attitude about of the pandemic at this critical moment.

OBJECTIVE

This study was aimed to assess the knowledge and attitude of communities about COVID-19 and associated factors among Gondar City residents.

METHODS

A community based cross-sectional study was done among 623 respondents in Gondar city from April 20-27/2020. Data were collected using a structured questionnaire adapted from different literatures. The data were entered using Epi data version 3.1 and then exported into STATA version 14 for analysis. Bi-variable and multivariable binary logistic regression were performed. Adjusted odds ratio with 95% CI was used to declare statistically significant variables on the basis of p value less than 0.05 in the multivariable binary logistic regression model.

RESULTS

The overall knowledge and attitude of the community towards COVID19 was 51.85% [95% CI (47.91%-55.78%)] and 53.13% [95% CI (49.20, 57.06%)], respectively. In this study, being married [AOR = 0.60 at 95% CI: (0.42, 0.86)], educational level; primary [AOR = 3.14 at 95% CI: (1.78,5.54)], secondary [AOR = 2.81 at 95% CI: (1.70,4.63)], college and above [AOR = 4.49 at 95% CI: 7.92, 13.98)], and family size [AOR = 1.80, at 95% CI: (1.05, 3.08)] were emerged as statistically significant factors impacting the knowledge of the community about COVID-19. Besides, educational level; primary [AOR = 1.76 at 95% CI: (1.03, 3.01)], secondary [AOR = 1.69 at 95% CI: (1.07, 2.68)], and college & above [AOR = 2.38 at 95% CI: (1.50, 3.79)], and family size; four to six members [AOR = 1.84 at 95% CI (1.27, 2.67)], above seven members [AOR = 1.79 at 95% CI (1.08, 2.96)] were factors identified as significantly attribute for positive attitude of the communities towards COVID-19.

CONCLUSION

More than half of the respondents had better knowledge and attitude regarding COVID-19. Higher educational level and larger family size were significant factors predominantly affecting the knowledge and attitude of the communities towards COVID-19.

摘要

背景

新型冠状病毒肺炎(COVID-19)是导致当前全球急性呼吸道疾病和病毒性肺炎大流行的新型冠状病毒。为应对该病毒造成的严重状况,各国需要采取积极且有针对性的策略来抗击病毒。因此,在这一关键时刻,为加强COVID-19缓解措施并做出快速响应,迫切需要了解公众对该大流行病的认知和态度。

目的

本研究旨在评估贡德尔市居民对COVID-19的认知和态度以及相关因素。

方法

2020年4月20日至27日,在贡德尔市对623名受访者进行了一项基于社区的横断面研究。使用从不同文献改编而来 的结构化问卷收集数据。数据使用Epi data 3.1版本录入,然后导出到STATA 14版本进行分析。进行了双变量和多变量二元逻辑回归分析。在多变量二元逻辑回归模型中,基于p值小于0.05,使用95%置信区间的调整后比值比来确定具有统计学意义的变量。

结果

社区对COVID-19的总体认知和态度分别为51.85% [95%置信区间(47.91%-55.