影响科夫德-19传输预防行为的社会人口分析

Santy Irene Putri, Karlinda Karlinda
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摘要

Covid-19是一种以前未在人类中发现的新型冠状病毒。新冠肺炎疫情在全球范围内的传播速度远快于以往。因此,需要采取大规模预防措施,以减少Covid-19的传播。本研究旨在分析影响Covid-19传播预防行为的社会人口因素。这是一项横断面设计的定量研究。这项研究位于NTT,西加里曼丹和东爪哇。学习时间为2020年6月。采用分层随机抽样方法,选取96名受试者。因变量是Covid-19传播的预防行为。社会人口学的自变量包括年龄、性别、教育程度和就业状况。数据是通过在线问卷收集的。采用多变量分析对数据进行分析。年龄(b = 0.31, 95% CI = 0.02 ~ 0.59, p = 0.036)、教育程度(b = 2.16, 95% CI = 0.15 ~ 4.17, p = 0.036)和就业状况(b = 2.24, 95% CI = 0.59 ~ 3.90, p = 0.008)对预防Covid-19传播行为有影响。性别(b = -0.45, CI 95% = -3.64 ~ 2.74, p = 0.781)对Covid-19传播的预防行为无影响。从本研究的结果来看,年龄越成熟、受教育程度越高、就业状况越好的研究对象能够更好地采取新冠肺炎预防措施。然而,在这项研究中,结果也表明,男性和女性的性别并不影响Covid-19预防行为。研究每个自变量(年龄、受教育程度、职业和性别)对因变量(Covid-19传播预防行为)的影响非常有趣。
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Analisis Faktor Sosiodemografi yang Mempengaruhi Perilaku Pencegahan Transmisi Covid-19
Covid-19 is a new type of coronavirus that has not been previously identified in humans. Covid-19 epidemic spread far more quickly than before all over the world. Therefore, massive preventive measures are needed to reduce the spread of Covid-19. This study aimed to analyze sociodemographic factors that influence prevention behavior of Covid-19 transmission. This was a quantitative study with cross-sectional design. This study located in NTT, West Kalimantan and East Java. The time of study was in June 2020. The sample of 96 subjects were selected by stratified random sampling technique. The dependent variable is the prevention behavior of Covid-19 transmission. Independent variables are sociodemographic include age, sex, education, and employment status. The data were collected by using an online questionnaire. The data were analyzed by using multivariate analysis. The prevention behavior of Covid-19 transmission were influenced by age (b = 0.31, 95% CI = 0.02 to 0.59, p = 0.036), education (b = 2.16, 95% CI = 0.15 to 4.17, p = 0.036), and employment status (b = 2.24, 95% CI = 0.59 to 3.90, p = 0.008). Gender (b = -0.45, CI 95% = -3.64 to 2.74, p = 0.781) had no effect on the prevention behavior of Covid-19 transmission. From the results of this study, it was found that research subjects with a more mature age, high level of education, and higher employment status could take Covid-19 prevention measures well. However, in this study, the results also showed that the gender of men and women did not influence Covid-19 prevention behavior. It is interesting to study the effect of each independent variable (age, education, occupation and sex) on the dependent variable (Covid-19 transmission prevention behavior).
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