PDF(Pubmed)
Abstract：
Numerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological investigations, factors influencing users\' intention to use them, and ways to encourage their use.
We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample t-tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use.
Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app\'s information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app\'s self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use.
This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.
We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample t-tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use.
Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app\'s information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app\'s self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use.
This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.
摘要：
■在COVID-19大流行期间，许多与COVID-19相关的应用程序被广泛使用。其中,那些支持流行病学调查的人特别有用。这项研究探讨了支持流行病学调查的应用程序的有效性，影响用户使用意向的因素，以及鼓励使用它们的方法。
■我们开发并评估了KODARI应用程序，以证明其在流行病学调查中的重要性。在根据现有的COVID-19相关应用程序评估框架调整问卷后，我们通过一项在2023年4月28日至5月25日之间进行的在线调查收集了276名参与者的数据.我们进行了两个独立的样本t检验，以根据人口统计学特征确定每个变量之间的差异，并进行了多元回归分析，以确定影响使用意图的因素。
■用户普遍对KODARI感到满意。我们观察到性别差异，年龄,婚姻状况,职业特征，和流行病学调查的经验。女性对应用程序的信息准确性的评价高于男性。男性的使用意愿高于女性。35岁以下的参与者对信息准确性和透明度给予高度评价，而单身参与者对信息准确性的评价高于已婚参与者。与他人经常互动的职业群体评估了他们对申请的自决权。在具有流行病学调查经验的参与者中，该应用程序的自决权得到了高度重视。通过调查影响应用使用意向的因素,我们证实了有效性，自决,和可用性显著影响使用意图。
■这项研究证明了应用程序支持流行病学调查的有效性，确定了影响使用意图的有意义的因素，并通过考虑COVID-19等传染病情况的特异性，证实了我们新框架的适用性。本研究为今后的流行病学研究提供了新的依据。
■我们开发并评估了KODARI应用程序，以证明其在流行病学调查中的重要性。在根据现有的COVID-19相关应用程序评估框架调整问卷后，我们通过一项在2023年4月28日至5月25日之间进行的在线调查收集了276名参与者的数据.我们进行了两个独立的样本t检验，以根据人口统计学特征确定每个变量之间的差异，并进行了多元回归分析，以确定影响使用意图的因素。
■用户普遍对KODARI感到满意。我们观察到性别差异，年龄,婚姻状况,职业特征，和流行病学调查的经验。女性对应用程序的信息准确性的评价高于男性。男性的使用意愿高于女性。35岁以下的参与者对信息准确性和透明度给予高度评价，而单身参与者对信息准确性的评价高于已婚参与者。与他人经常互动的职业群体评估了他们对申请的自决权。在具有流行病学调查经验的参与者中，该应用程序的自决权得到了高度重视。通过调查影响应用使用意向的因素,我们证实了有效性，自决,和可用性显著影响使用意图。
■这项研究证明了应用程序支持流行病学调查的有效性，确定了影响使用意图的有意义的因素，并通过考虑COVID-19等传染病情况的特异性，证实了我们新框架的适用性。本研究为今后的流行病学研究提供了新的依据。
