COVID-19健康教育网站的用户获取和概况:一项描述性研究

A. N. Lestari, Tiara Putri Leksono, Reyfal Khaidar, E. N. Alam, Lutfan Lazuardi
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引用次数: 0

摘要

2020年初,中国发现了一种新的肺炎病因,后来被世界卫生组织称为2019冠状病毒病(COVID-19),并宣布为大流行。在这种紧急状态下,人们将从在线传播卫生信息的网站上寻求信息,包括印度尼西亚。由于目前没有疫苗或特定的抗病毒治疗,采取预防措施至关重要。卫生和健康措施可以很容易地广泛传播,因为媒体上有快速和大量的信息传播,但对于那些几乎无法获得技术的弱势群体来说,情况通常不是这样。假新闻和缺乏可靠消息来源也是一种威胁。印度尼西亚万隆的一家健康创业公司通过其网站以19种当地语言提供的可下载脚本和音频形式的公共服务公告,发起了预防COVID-19的倡议。本研究旨在通过描述性观察方法了解个人资料用户访问网站的特征。这些数据来自谷歌分析自动分析的网站。我们研究观众数据,包括人口统计和地理分布。此外,我们观察获取数据,帮助我们了解网站流量。本研究发现的显著差异出现在年龄组,而性别组没有显著差异,有8%的差异。从地理分布来看,60%的顶级用户位于爪哇岛的城市。有趣的是,直接流量几乎占所有流量的86%。在我们的案例中,Twitter在社交媒体流量中排名第一。总之,有必要在COVID-19预防措施中推广可信信息,并帮助保持信息的可及性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User acquisition and profile of COVID-19’s health education website: a descriptive study
In early of 2020, China had identified a new etiology of pneumonia which was later called Coronavirus Disease 2019 (COVID-19) by the World Health Organization (WHO) and the condition declared as pandemic. In this emergency state of affair, people will seek information from websites disseminating health information online, including Indonesia. Since there is currently no vaccine or specific antiviral treatment, the application of preventive measures has been essential. The hygiene and health measures can be easily spread widely as there’s been fast & numerous information spreading in the media, but that is not usually the case with underprivileged people with little access to technology. False news and lack of credible sources are also a threat. A health startup in Bandung, Indonesia, made initiatives to educate people about COVID-19 prevention through downloadable script and audio in the form of Public Service Announcement provided with 19 local languages through their website.  This study aims to know the characteristics of profile users accessing the website through descriptive observational approach. The data came from the website automatically analysed by Google Analytics. We look into the audience data, comprising demographics and geographical distribution. Additionally, we observe the acquisition data that helps us in seeing website traffic. The significant difference found in this study is seen in the age group, meanwhile the gender group did not have a significant difference, which has 8% of disparity. By geographical distribution, 60% of top users are located in cities located in Java Island. Direct traffic, interestingly, made up almost 86 percent of all traffic. Twitter ranked the top for the social media traffic in our case. In conclusion, it is necessary to promote credible information in COVID-19 preventive measures and help maintain the accessibility of information.
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