Since the outbreak of COVID-19, countries worldwide have been engaging in various efforts to overcome the challenges associated with it. One of these efforts include providing app-based services, such as COVID-19 contact tracing apps, to support activities aimed at combating COVID-19 [1-4].

South Korea has been integrating digital technology to make it applicable to all fields [5,6], including surveillance, testing, contact tracing, and self-isolation, as well as apps providing COVID-19–related information. Several COVID-19–related apps have been developed and are currently being used, including the Self-Quarantine Safety Protection app [7] and apps for COVID-19 symptom management app and self-isolation. These apps have greatly helped South Korea in responding to the COVID-19 crisis. However, as the COVID-19 pandemic continues, the need for more diverse apps is emerging, such as COVID-19 vaccine apps [8], epidemiological investigation apps, self-route management apps, and mental health management apps.

To support activities aimed at overcoming COVID-19, diverse apps need to be developed for specific purposes. It is also vital to ensure that the majority of people can be assisted through these apps. Therefore, to ensure the effectiveness of COVID-19–related apps, we need to learn more about the apps that people need, as well as their acceptance and concerns regarding using these apps, for example, concerns regarding security issues. However, although security and information protection issues may arise while developing and using these apps [5,9-11], the use of technology during COVID-19 has focused on using larger amounts of personal data to contain the spread of COVID-19 [12], rather than reflecting on users’ intentions or concerns.

For COVID-19–related technologies to be effective, most people need to be able to use them. To achieve this, we need to focus on users’ intentions and concerns, rather than adopting a technical approach [13]. Therefore, in this study, we aimed to determine the most necessary apps as preferred by users and identify the current status of the development of COVID-19–related apps in South Korea. Furthermore, we aimed to determine users’ acceptance and concerns related to using apps to overcome the COVID-19 crisis.

We organized various COVID-19–related apps developed in South Korea according to their release date (Table 1). Thus far, these apps can be classified according to the following main function types: (1) COVID-19–related information provision, (2) COVID-19 symptom management, (3) COVID-19 self-diagnosis, (4) self-route management, (5) mapping of COVID-19 cases, and (6) self-report of confirmed COVID-19 cases.

In early 2020, there were many apps providing COVID-19–related information, but over time, these evolved into COVID-19 symptom management and self-route management apps. Informational apps focus on providing information on the current status of COVID-19; subsequently, information relevant to the present state of COVID-19, such as information about masks and vaccines, is gradually updated and modified to remain relevant. For apps related to self-route management and mapping of COVID-19 cases, however, information is automatically saved using GPS or a QR code. Furthermore, these apps feature a function notifying users of the risk rate, such as mapping confirmed persons with COVID-19. Detailed information about the apps can be found in Table S1 of Multimedia Appendix 1.

We conducted a web-based survey between November 11 and December 6, 2020. The number of confirmed COVID-19 cases during the survey period ranged from 143 (on November 11) to 631 (on December 6). On November 1, 2020, the Korean government announced a plan to reorganize social distancing measures by subdividing social distancing into three to five stages; this came into effect on November 7, 2020. Thus, during the survey period, social distancing levels ranged from stage 1 to stage 2, based on the five stages of social distancing [14].

We had limitations in conducting a survey that included the total Korean population. Therefore, the survey was conducted keeping in mind the cost and time of distributing the questionnaire. In South Korea, as of December 6, 2020, Seoul, Gyeonggi-do, Incheon, and Daegu had the highest number of COVID-19 cases nationwide, accounting for 79% of all COVID-19 cases in South Korea [15].

We posted the survey recruitment notice on bulletin boards of online cafes, such as Korean portal online cafes (NAVER) [16], as well as university and college student community bulletin boards. In addition, a questionnaire was also distributed through referrals from cafe users. A total of 1170 people responded. After duplicate and incorrect responses were excluded, 1148 valid, completed questionnaires were obtained. The survey ended on December 6, where the proportion of survey respondents by region was similar to the proportion of COVID-19 cases by region as of December 6.

To determine the current status of apps developed in South Korea, we conducted a search on application software downloading services such as the Apple App Store, Google Play Store, and Naver One Store. We aimed to find all COVID-19–related apps developed after January 2020, that is, after the COVID-19 outbreak was reported. We used keywords such as “COVID,” “COVID-19,” “Corona,” “Corona 19,” and “infectious disease.” We excluded COVID-19–related apps developed by the Ministry of the Interior and Safety and the Ministry of Health and Welfare. Thus, we found a total of 54 apps. Among these, overseas apps and apps introduced before the COVID-19 outbreak were excluded. For the remaining 48 apps, two medical informatics professors (JP and MJR) and two researchers (JH and YK) manually organized the app features into categories (described below) over four meetings.

To categorize these apps, it was necessary to largely classify them by app features. However, there was no clear criteria for categorizing the app functions. Based on previous studies [12,17,18], we classified the apps developed in South Korea thus far into the following main function types to determine their current status: (1) COVID-19–related information provision, (2) COVID-19 symptom management, (3) COVID-19 self-diagnosis, (4) self-route management, (5) mapping of COVID-19 cases, and (6) self-report of COVID-19 confirmed cases.

We developed a questionnaire determining the intention to use COVID-19–related apps based on previous studies [19,20]. Intention to use is the most frequently used variable in research on technology acceptance and is widely used in the health care field [21,22]. Additionally, the questionnaire items were modified for this study. That is, “intention to use” was defined as the degree to which a user’s behavioral intention indicated their willingness to use COVID-19–related apps. Responses were given on a 5-point Likert scale ranging from 1 = “very unwilling” to 5 = “very willing.”

COVID-19–related apps that were currently deemed as necessary were selected based on the six abovementioned functions. However, we added additional apps, namely the epidemiological investigation app, self-management app for self-isolation, and mental health management app.

Finally, we classified app-based services to support activities to overcome the COVID-19 crisis according to six app types: (1) epidemiological investigation apps, (2) self-management apps for self-isolation, (3) self-route management app, (4) COVID-19 symptom management app, (5) COVID-19–related information provision app, and (6) mental health management app.

The question asking participants which app services are needed to support activities aimed at overcoming the COVID-19 crisis was a multiple-response question; thus, multiple response analysis was used. The Wilcoxon rank sum test [23] was used to analyze people’s intention to use app-based services required to overcome COVID-19. Basic statistical analysis, multiple response analysis, and Wilcoxon rank sum test were conducted using R software (version 3.6.1). Furthermore, we manually classified the current status of the development of COVID-19–related apps.

The study procedures were carried out in accordance with the Declaration of Helsinki and were approved by the Institutional Review Board of Catholic University (MC20QISI0125). Participants’ data were anonymized to ensure confidentiality was maintained.

Of the total 1148 respondents, 675 (58.8%) were female and the majority (n=475, 41.4%) were in their 30s (Table 2). The proportion of married respondents was 50.6% (581/1148). Furthermore; 846 (73.7%) of the respondents had a university degree or higher; 592 (51.6%) were employed in professional, managerial, and white-collar jobs; and 128 (11.1%) were medical staff. Moreover, 883 (76.9%) respondents lived in Seoul, Gyeonggi-do, Incheon, and Daegu.

Among the 1148 respondents, 95 (8.3%) had an underlying disease, such as high blood pressure, diabetes, asthma, kidney failure, or tuberculosis; 91 (7.9%) had experienced self-isolation due to COVID-19; 174 (15.2%) had experience with COVID-19 testing; 4 (0.3%) were confirmed COVID-19 cases; 78 (6.8%) had a family member or friend with COVID-19; 362 (31.5%) reported that they had jobs that were easily exposed to COVID-19; and 889 (77.4%) thought that their company was satisfactorily dealing with COVID-19 quarantine measures. Finally, 219 (19.1%) of the respondents had experience using COVID-19–related apps.

This study assessed participants’ willingness to use COVID-19–related apps as shown in Figure 1. The first question asked the 1148 respondents if they were willing to protect themselves from COVID-19 by using COVID-19–related health care apps (Table 3), to which 68.4% (n=785) reported that they were “willing” or “very willing.” The second question asked the respondents whether they wanted to be monitored through a COVID-19 management app, to with 47.6% (n=546) of the respondents reporting that they wanted to be monitored. However, 35.4% (n=406) of the respondents had a neutral opinion about this. The last question asked respondents if they wanted to be protected through a COVID-19 management app; 51% (n=586) of the respondents wanted to be protected through a COVID-19 management app, whereas 32.9% (n=378) had a neutral opinion.

We surveyed which app-based services were needed to support activities aimed at overcoming COVID-19; this was a multiple-response question. Of the 1148 respondents, 709 (61.8%) reported that the epidemiological investigation app was the most necessary service (Table 4). In addition, respondents stated that a self-management app for self-isolation (613/1148, 53.4%), preventive self-route management app (605/1148, 52.7%), COVID-19 symptom management app (483/1148, 42.1%), and COVID-19–related information provision app (339/1148, 29.5%) were needed. The lowest percentage of responses (270/1148, 23.5%) received were regarding the use of mental health management apps.

First, we inquired whether the respondents were willing to use the epidemiological investigation app, which was reported as the most necessary service. In total, 554 of the 1148 (48.3%) respondents reported that they would use this app, with 296 (25.8%) indicating that they were very willing (Figure 2 and Table 3).

Second, we inquired why they were reluctant to use the app. Regarding this, of the 1148 respondents, 480 (41.8%) of respondents cited privacy concerns, 449 (39.1%) expressed concerns about personal information exposure and media disclosure, and 202 (17.6%) did not have a reason (Table 5). The response rate of those who were not reluctant was very low (13/1148, 1.1%).

The intention to use app-based services required to overcome COVID-19 were compared using the Wilcoxon rank sum test. The various app-based services evaluated in this study were as follows: (1) epidemiological investigation app, (2) self-management app for self-isolation, (3) self-route management app, and (4) COVID-19 symptom management app. The results indicated whether there were any differences in the intention to use these four apps according to the COVID-19–related characteristics of the respondents. These characteristics included the following: (1) presence of an underlying disease, (2) self-isolation experience, (3) COVID-19 test experience, (4) confirmed COVID-19 cases, (5) family members or friends with a confirmed COVID-19 case, (6) occupations that are easily exposed to COVID-19, (7) a company with good COVID-19 prevention strategies, and (8) experience with COVID-19–related apps (Table 6).

Regarding the presence of underlying disease and COVID-19–related app experience, there were significant differences in respondents’ intention to use the epidemiological investigation app, self-management app for self-isolation, self-route management app, and COVID-19 symptom management app. Moreover, those who had an underlying disease and had experience using COVID-19–related apps showed significantly higher intention to use these four apps (P=.05 and P=.01, respectively; Table 6).