Table 2.
Characteristics of the studies included.
Authors, year | Country | Application name | Type of technologies | The main outcome | Other outcomes |
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Scherr et al. [30] | United States unit | MyCOVIDKey | Scanning the specific barcode for any location | The MyCOVIDKey application was a useful tool for tracking COVID-19 contacts in the university environment and was (1) effective in accurately tracking contacts, (2) not requiring much time, and (3) not requiring much effort | Compared with apps that work with Bluetooth and Global Positioning System (GPS), it creates more trust in users, and most users introduced it as simple to use |
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Zens et al. [31] | Germany | COVID-19 Symptom Tracker | — | Tracking self-reported symptoms helps identify new symptoms of COVID-19 and predict specific symptoms. Clinical screening through this tool allows rapid identification of infections and cost-effective use of testing resources | — |
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van Dijk et al. [32] | Netherlands | COVID RADAR | Application notifications | The ability to predict COVID-19 hotspots/in-application reported symptoms and behavior correlates with in-app reporting of SARS-CoV-2 testing. The predictive potential of the COVID RADAR correlates with external validation of in-app reported SARS-CoV-2 positive tests followed by government-reported case counts as well | Having confirmed the link between symptoms, social distancing behavior, and the number of COVID-19 cases, the next steps include trying to predict emerging hotspots by combining data on symptoms and social distancing behavior to quantify the risk of COVID-19 cases. Such predictions can be used to help with COVID-19 policy |
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Echeverría et al. [24] | Spain | COVIDApp | Chat and video/send a variety of messages including treatment recommendations or protocols | Rapid diagnosis of suspected and confirmed cases/reducing the risk of virus spread | Reducing the number of suspected cases/reduction in the number of long-term care facilities that were considered high risk for COVID-19/reduction in the total number of deaths, especially deaths among suspected cases |
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Varsavsky et al. [33] | England | COVID Symptom Study app | — | Mobile technology could be used to provide real-time data on the national and local status of the pandemic, enabling policymakers to make informed decisions about the COVID-19 pandemic and act as an independent and complementary source for traditional tools for disease monitor | Rapid diagnosis of cases in areas where testing is less. Polymerase chain reaction (PCR) test results and this self-report program can complement each other |
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Wymant et al. [34] | England | National Health Service (NHS) COVID-19 | Bluetooth | Reducing the spread of COVID-19 | Reducing the death rate due to disease |
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Nakamoto et al. [35] | Japan | COCOA | Smartphone/Bluetooth/private messaging services such as e-mail | Reducing the rate of transmission of infection/increasing the response pace to the epidemic/reducing workload/reducing operational errors/reducing population mobility/the efficiency and speed of identifying infected people | Protecting user data privacy from infected people, vulnerable people, attackers, and government authorities |
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Yamamoto et al. [36] | Japan | K-note | Smartphone/e-mail/Excel-based application | Preventing the spread of infection/in-app greatly reduced the follow-up burden for people who had close contact with known cases of confirmed COVID-19 infection | The app has helped with early diagnosis of COVID-19 or voluntary home quarantine of people with suspected symptoms, and the use of this app can ease the reopening of school and corporate activities/provide statistics to local governments and national headquarters |
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Soriano et al. [37] | Spain | Hospital Epidemics Tracker (HEpiTracker) | Smartphone-based program/self-report nature | Monitoring COVID-19 and other infectious diseases among the hospital staff | — |
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Denis et al. [38] | France | http://Maladiecoronavirus.fr | Self-assessment web-based triage program | A proper device to predict the increase in prevalence, hospitalizations, and intensive care unit admissions during the COVID-19 pandemic | Accurately predict the reduction in hospitalization rates |
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Getz et al. [39] | United States | NMB-DASA | The website's epidemiology simulation and prediction engine are based on a modified SEIR (susceptible, exposed, infectious, and improved) formula called SCLAIV | Managing epidemics and reducing the level of economic damage from the COVID-19 pandemic/the availability of computational tools, such as http://covid-webapp.numerusinc.com, allows policymakers and healthcare managers to predict the onset of an outbreak. Next, get into trouble less than what was the case with COVID-19 | Helping policymakers decide how to respond to the novel coronavirus |
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Stanciu et al. [40] | Romania | TAMEC | (i) Management of cryptographic keys to ensure the confidentiality of system data and computing server (CS) web service (ii) Client configuration web service (iii) DSP-WebApp program (iv) TAMEC map system (v) Graphical web interface |
Facilitating the prevention of the spread of the SARS-CoV-2 virus in the community | To help limit the spread of disease in the population and reduce epidemiological studies of healthcare workers |