The literary review presented in the following paper aims to analyze the tracking tools used in different countries during the period of the COVID-19 pandemic. Tracking apps that have been adopted in many countries to collect data in a homogeneous and immediate way have made up for the difficulty of collecting data and standardizing evaluation criteria. However, the regulation on the protection of personal data in the health sector and the adoption of the new General Data Protection Regulation in European countries has placed a strong limitation on their use. This has not been the case in non-European countries, where monitoring methodologies have become widespread. The textual analysis presented is based on co-occurrence and multiple correspondence analysis to show the contact tracing methods adopted in different countries in the pandemic period by relating them to the issue of privacy. It also analyzed the possibility of applying Blockchain technology in applications for tracking contagions from COVID-19 and managing health data to provide a high level of security and transparency, including through anonymization, thus increasing user trust in using the apps.
References
[1]
Naous, D., Bonner, M., Humbert, M. and Legner, C. (2022) Learning from the Past to Improve the Future: Value-Added Services as a Driver for Mass Adoption of Contact Tracing Apps. Business & Information Systems Engineering, 64, 597-614. https://doi.org/10.1007/s12599-022-00742-2
[2]
Sheikh, A., Anderson, M., Albala, S., et al. (2021) Health Information Technology and Digital Innovation for National Learning Health and Care Systems. The Lancet Digital Health, 3, e383-e396. https://doi.org/10.1016/S2589-7500(21)00005-4
[3]
Pititto, G. (2020) La Sfida Delle App Contro il COVID-19. GEOmedia, 24, 12-18.
[4]
Alkhalifah, A. and Bukar, U.A. (2022) Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Frontiers in Public Health, 10, Article 847184. https://doi.org/10.3389/fpubh.2022.847184
[5]
Ong, A.K.S., Prasetyo, Y.T., Yuduang, N., Nadlifatin, R., Persada, S.F., et al. (2022) Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand. International Journal Enviranmental Research and Public Health, 19, Article 7979. https://doi.org/10.3390/ijerph19137979
[6]
Deters, F.G., Meier, T., Milek, A. and Horn, A.B. (2021) Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study. Journal of Medical Internet Research, 23, e29268. https://doi.org/10.2196/29268
[7]
Ho, S.M., Liu, X., Seraj, M.S. and Dickey, S. (2022) Social Distance “Nudge:” A Context Aware Mhealth Intervention in Response to COVID Pandemics. Computational and Mathematical Organization Theory, 29, 391-414. https://doi.org/10.1007/s10588-022-09365-0
[8]
Nishiyama, Y., Murakami, H., Suzuki, R., Oko, K., Sukeda, I., et al. (2022) MOCHA: Mobile Check-In Application for University Campuses beyond COVID-19. ACM Digital Library, Seoul, 17-20 October 2022, 253-258. https://doi.org/10.1145/3492866.3557736
[9]
Verma, R., Yabe, T. and Ukkusuri, S.V. (2021) Spatiotemporal Contact Density Explains the Disparity of COVID-19 Spread in Urban Neighborhoods. Scientific Reports, 11, Article No. 10952. https://doi.org/10.1038/s41598-021-90483-1
[10]
O’Callaghan, M., Abbas, M., Buckley, J., Fitzgerald, B., Johnson, K., et al. (2022) Public Opinion of the Irish “COVID Tracker” Digital Contact Tracing App: A National Survey. Digital Health, 8, 1-12. https://doi.org/10.1177/20552076221085065
[11]
Kozyreva, A., Lorenz-Spreen, P., Lewandowsky, S., Garrett, P.M., et al. (2021) Psychological Factors Shaping Public Responses to COVID-19 Digital Contact Tracing Technologies in GERMANY. Scientific Reports, 11, Article No. 18716. https://doi.org/10.1038/s41598-021-98249-5
[12]
Akinbi, A., Forshaw, M. and Blinkhorn, V. (2021) Contact Tracing Apps for the COVID-19 Pandemic: A Systematic Literature Review of Challenges and Future Directions for Neo-Liberal Societies. Health Information Science and Systems, 9, Article No. 18. https://doi.org/10.1007/s13755-021-00147-7
[13]
Alarabi, L., Basalamah, S., Hendawi, A. and Abdalla, M. (2021) TraceAll: A Real-Time Processing for Contact Tracing Using Indoor Trajectories. Information, 12, Article 202. https://doi.org/10.3390/info12050202
[14]
Almalki, M. and Giannicchi, A. (2021) Health Apps for Combating Covid-19: Descriptive Review and Taxonomy. JMIR mHealth and uHealth, 9, e24322. https://doi.org/10.2196/24322
[15]
Ami, J., Ishii, K., Sekimoto, Y., Masui, H., Ohmukai, I., et al. (2021) Computation of Infection Risk via Confidential Locational Entries: A Precedent Approach for Contact Tracing with Privacy Protection. IEEE Access, 9, 87420-87433. https://doi.org/10.1109/ACCESS.2021.3087478
[16]
Ang, V. and Shar, L.K. (2021) COVID-19 One Year on—Security and Privacy Review of Contact Tracing Mobile Apps. IEEE Pervasive Computing, 20, 61-70. https://doi.org/10.1109/MPRV.2021.3115478
[17]
Avraam, D., Obradovich, N., Pescetelli, N., Cebrian, M. and Rutherford, A. (2021) The Network Limits of Infectious Disease Control via Occupation-Based Targeting. Scientific Reports, 11, Article No. 22855. https://doi.org/10.1038/s41598-021-02226-x
[18]
Barthe, G., Viti, R.D., Druschel, P., Garg, D., Gomez-Rodriguez, M., et al. (2022) Listening to Bluetooth Beacons for Epidemic Risk Mitigation. Scientific Reports, 12, Article No. 5558. https://doi.org/10.1038/s41598-022-09440-1
[19]
Blom, A.G., Wenz, A., Cornesse, C., Rettig, T., Fikel, M., et al. (2021) Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study. Journal of Medical Internet Research, 23, e23362. https://doi.org/10.2196/23362
[20]
Bodini, A., Pasquali, S. and Pievatolo, A. (2022) Underdetection in a Stochastic SIR Model for the Analysis of the COVID-19 Italian Epidemic. Stochastic Environmental Research and Risk Assessment, 36, 137-155. https://doi.org/10.1007/s00477-021-02081-2
[21]
Boldrini, C., Passarella, A. and Conti, M. (2022) Models for Digitally Contact-Traced Epidemics. IEEE Access, 10, 106180-106190. https://doi.org/10.1109/ACCESS.2022.3211425
[22]
Caserotti, M., Girardi, P., Tasso, A., Rubaltelli, E., Lotto, L. and Gavaruzzi, T. (2022) Joint Analysis of the Intention to Vaccinate and to Use Contact Tracing App during the COVID-19 Pandemic. Scientific Reports, 12, Article No. 793. https://doi.org/10.1038/s41598-021-04765-9
[23]
Cicala, F., Wang, W., Wang, T., Li, N., Bertino, E., Liang, F. and Yang, Y. (2021) PURE: A Framework for Analyzing Proximity-Based Contact Tracing Protocols. ACM Computing Surveys, 55, Article No. 3. https://doi.org/10.1145/3485131
[24]
Daniore, P., Ballouz, T., Menges, D. and Wyl, V.V. (2021) The SwissCovid Digital Proximity Tracing App after One Year: Were Expectations Fulfilled? Swiss Medical Weekly, 151, 35-36. https://doi.org/10.4414/SMW.2021.w30031
[25]
Dave, R. and Gupta, R. (2021) Data Quality and Network Considerations for Mobile Contact Tracing and Health Monitoring. Frontiers in Digital Health, 3, Article 590194. https://doi.org/10.3389/fdgth.2021.590194
[26]
Dowthwaite, L., Fisher, J., Vallejos, E.P., Portillo, V., Nichele E., et al. (2021) Public adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study. Journal of Medical Internet Research, 23, e29085. https://doi.org/10.2196/29085
[27]
Farkhondeh, H., Saeed, A. and Allen, C.J. (2021) Individuals’ Privacy Concerns and Adoption of Contact Tracing Mobile Applications in a Pandemic: A Situational Privacy Calculus Perspective. Journal of the American Medical Informatics Association, 28, 463-471. https://doi.org/10.1093/jamia/ocaa240
[28]
Fetzer, T. and Graeber, T. (2021) Measuring the Scientific Effectiveness of Contact Tracing: Evidence from a Natural Experiment. Proceedings of the National Academy of Sciences of the United States of America, 118, e2100814118. https://doi.org/10.1073/pnas.2100814118
[29]
Frimpong, J.A. and Helleringer, S. (2021) Strategies to Increase Downloads of COVID-19 Exposure Notification Apps: A Discrete Choice Experiment. PLOS ONE, 16, e0258945. https://doi.org/10.1371/journal.pone.0258945
[30]
Giustiniano, D., Bianchi, G., Conti, G., Bartoletti, G. and Blefari Melazzi N. (2021) 5G and Beyond for Contact Tracing. IEEE Communications Magazine, 59, 36-41. https://doi.org/10.1109/MCOM.010.2001250
[31]
Goenka, R., Cao, S.-J., Wong, C.-W., Rajwade, A. and Baron, D. (2021) Contact Tracing Enhances the Efficiency of Covid-19 Group Testing. IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, ON, 6-11 June 2021, 8168-8172. https://doi.org/10.1109/ICASSP39728.2021.9414034
[32]
Haggag, O., Haggag, S., Grundy, J. and Abdelrazek, M. (2021) COVID-19 vs Social Media Apps: Does Privacy Really Matter? IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Society, Madrid, 25-28 May 2021, 48-57. https://doi.org/10.1109/ICSE-SEIS52602.2021.00014
[33]
Huang, J., Kwan, M.P. and Kim, J. (2021) How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of COVID-19 Control Measures that Use Individual-Level Georeferenced Data. ISPRS International Journal of Geo-Information, 10, Article 490. https://doi.org/10.3390/ijgi10070490
[34]
Jiang, T., Zhang, Y., Zhang, M.H., Yu, T., Chen, Y.Z., Lu, C.H., Zhang, J., et al. (2020) A Survey on Contact Tracing: The Latest Advancements and Challenges. https://doi.org/10.48550/arXiv.2011.02094
[35]
Jones, K. and Thompson, R. (2021) To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales. JMIR mHealth and uHealth, 9, e29181. https://doi.org/10.2196/29181
[36]
Kahnbach, L., Lehr, D., Brandenburger, J., Mallwitz, T., Jent, S., Hannibal, S., Funk, B. and Janneck, M. (2021) Quality and Adoption of Covid-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps. Journal of Medical Internet Research, 23, e27989. https://doi.org/10.2196/27989
[37]
Kaptchuk, G., Goldstein, D.G., Hargittai, E., Hofman, J.M. and Redmiles, E.M. (2022) How Good Is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids. ACM Digital Library, 3, Article No. 27. https://doi.org/10.1145/3488307
[38]
Krüger, N., Behne, A., Beinke, J.H., Stibe, A. and Teuteberg, F. (2022) Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic. International Journal of Technology and Human Interaction (IJTHI), 18, 1-27. https://doi.org/10.4018/IJTHI.293197
[39]
Liccardi, I., Alekseev, J., Voltz, V.L.A., McLean, J.E. and Zurko, M.E. (2022) Public Willingness to Engage with Covid-19 Contact Tracing, Quarantine, and Exposure Notification. Public Health Reports, 137, 90S-95S. https://doi.org/10.1177/00333549221125891
[40]
Li, T., Yin, S., Yu, R., Feng, Y., Jiao, L., Shen, Y. and Ma, J. (2022) CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases. IEEE Journal on Selected Areas in Communications, 40, 3191-3206. https://doi.org/10.1109/JSAC.2022.3211547
[41]
Liu, M., Zhou, S., Jin, Q., Nishimura, S. and Ogihara, A. (2022) Effectiveness, Policy, and User Acceptance of COVID-19 Contact-Tracing Apps in the Post-COVID-19 Pandemic Era: Experience and Comparative Study. JMIR Public Health and Surveillance, 8, e40233. https://doi.org/10.2196/40233
[42]
Maccari, L. and Cagno, V. (2021) Do We Need a Contact Tracing App? Computer Communications, 166, 9-18. https://doi.org/10.1016/j.comcom.2020.11.007
[43]
Mahmood, M., Mateu, J. and Hernández-Orallo, E. (2021) Contextual Contact Tracing Based on Stochastic Compartment Modeling and Spatial Risk Assessment. Stochastic Environmental Research and Risk Assessment, 36, 893-917. https://doi.org/10.1007/s00477-021-02065-2
[44]
Mahmood, M., Amaral, A.V.R., Mateu, J. and Moraga, P. (2022) Modeling Infectious Disease Dynamics: Integrating Contact Tracing-Based Stochastic Compartment and Spatio-Temporal Risk Models. Spatial Statistics, 51, Article 100691. https://doi.org/10.1016/j.spasta.2022.100691
[45]
Majeed, A. and Hwang, S.O. (2021) A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. IEEE Access, 9, 164159-164187. https://doi.org/10.1109/ACCESS.2021.3130610
[46]
Martignoni, M.M., Renault, J., Baafi, J. and Hurford, A. (2022) Downsizing of COVID-19 Contact Tracing in Highly Immune Populations. PLOS ONE, 17, e0268586. https://doi.org/10.1371/journal.pone.0268586
[47]
Montagni, I., Roussel, N., Thiébaut, R. and Tzourio, C. (2021) Health Care Students’ Knowledge of and Attitudes, Beliefs, and Practices toward the French Covid-19 App: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research, 23, e26399. https://doi.org/10.2196/26399
[48]
López, J.A.M., García, B,A., Bentkowski, P, Bioglio, L., et al. (2021) Anatomy of Digital Contact Tracing: Role of Age, Transmission Setting, Adoption, and Case Detection. Science Advances, 7, eabd8750. https://doi.org/10.1126/sciadv.abd8750
[49]
Nanni, M., Andrienko, G., Barabási, A.L., Boldrini, C., Bonchi, F., et al. (2021) Give More Data, Awareness and Control to Individual Citizens, and They Will Help COVID-19 Containment. Ethics and Information Technology, 23, 1-6. https://doi.org/10.1007/s10676-020-09572-w
[50]
Narayanan, H.T.S. (2021) Contact Tracing Solution for Global Community. The Computer Journal, 64, 1565-1574. https://doi.org/10.1093/comjnl/bxab099
[51]
O’Callaghan, M.E., Buckley, J., Fitzgerald, B., Johnson, K., et al. (2020) A National Survey of Attitudes to COVID-19 Digital Contact Tracing in the Republic of Ireland. Irish Journal of Medical Science, 190, 863-887. https://doi.org/10.1007/s11845-020-02389-y
[52]
O’Connell, J., Abbas, M., Beecham, S., Buckley, J., et al. (2021) Best Practice Guidance for Digital Contact Tracing Apps: A Cross-Disciplinary Review of the Literature. JMIR mHealth and uHealth, 9, e27753. https://doi.org/10.2196/27753
[53]
Parlamento Europeo e Consiglio (2016). GDPR-Regolamento (Ue) 2016/679. 4.5.2016 IT Gazzetta ufficiale dell’Unione europea L 119/1.
[54]
Pepper, C., Reyes-Cruz, G., Pena, A.R., Dowthwaite, L., Babbage, C.M., et al. (2022) Understanding Trust and Changes in Use after a Year with the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study. Journal of Medical Internet Research, 24, e40558. https://doi.org/10.2196/40558
[55]
Reid, M., Enanoria, W., Stoltey, G., Filippo, S., Fuchs, J., Lockwood, A., et al. (2021) The SARS-CoV-2 Pandemic: The Race to Trace: Contact Tracing Scale-Up in San Francisco—Early Lessons Learned. Journal of Public Health Policy, 42, 211-221. https://doi.org/10.1057/s41271-021-00285-y
[56]
Ritsema, F., Bosdriesz, J.R., Leenstra, T., Petrignani, M.W.F., et al. (2022) Factors Associated with Using the COVID-19 Mobile Contact-Tracing App among Individuals Diagnosed with SARS-CoV-2 in Amsterdam, the Netherlands: Observational Study. JMIR mHealth and uHealth, 10, e31099. https://doi.org/10.2196/31099
[57]
Riza, E., Kakalou, E., Nitsa, E., Hodges-Mameletzis, I., et al. (2021) Appraisal of a Contact Tracing Training Program for COVID-19 in Greece Focusing on Vulnerable Populations. International Journal Enviranmental Research and Public Health, 18, Article 9257. https://doi.org/10.3390/ijerph18179257
[58]
Rugani, G. (2020) Le Condizioni Ricavabili dal Regolamento generale sulla protezione dei dati per le applicazioni nazionali di tracciamento dei contatti: Alcune considerazioni. European Papers-Carnets Européens-Cuadernos Europeos-Quaderni Europei, 5, 633-644.
[59]
Samhi, J., Allix, K., Bissyandé, T.F. and Klein, J. (2021) A first Look at Android Applications in Google Play Related to COVID-19. Empirical Software Engineering, 26, Article No. 57. https://doi.org/10.1007/s10664-021-09943-x
[60]
Saw, Y.E., Tan, E.Y., Liu, J.S. and Liu, J.C. (2021) Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results from a Nationwide Survey in Singapore. Journal of Medical Internet Research, 23, e24730. https://doi.org/10.2196/24730
[61]
Schultz, é., Touzani, R., Mancini, J. and Ward, J.K. (2022). From Contact Tracing to COVID-19 Pass Holder; The Tortured Journey of the FRENCH TousAntiCovid Contact Tracing App. Public Health, 206, 5-7. https://doi.org/10.1016/j.puhe.2022.02.009
[62]
Seberger, J.S. and Patil, S. (2021) Us and Them (and It): Social Orientation, Privacy Concerns, and Expected Use of Pandemic-Tracking Apps in the United States. ACM Digital Library, Yokohama, 8-13 May 2021, Article No. 65. https://doi.org/10.1145/3411764.3445485
[63]
Shahroz, M., Ahmad, F., Younis, M.S., Ahmad, N., Boulos, M.N.K., et al. (2021) COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments. Transportation Engineering, 5, Article 100072. https://doi.org/10.1016/j.treng.2021.100072
[64]
Shoji, M., Ito, A., Cato, S., Iida, T., Ishida, K., Katsumata, H. and McElwain, K.M. (2021) Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan. JMIR mHealth and uHealth, 9, e29923. https://doi.org/10.2196/29923
[65]
Suver, C. and Kuwana, E. (2021) MHealth Wearables and Smartphone Health Tracking Apps: A Changing Privacy Landscape. Information Services & Use, 41, 71-79. https://doi.org/10.3233/ISU-210114
[66]
Szocska, M., Pollner, P., Schiszler, I., Joo, T., Palicz, T., et al. (2021) Countrywide Population Movement Monitoring Using Mobile Devices Generated (Big) Data during the COVID-19 Crisis. Scientific Reports, 11, Article No. 5943. https://doi.org/10.1038/s41598-021-81873-6
[67]
Tretiakov, A. and Hunter, I. (2021) User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews. JMIR mHealth and uHealth, 9, e26318. https://doi.org/10.2196/26318
[68]
Tsinaraki, C., Mitton, I., Minghini, M., Micheli, M., Kotsev, A., et al. (2021) Mobile Apps to Fight the COVID-19 Crisis. Data 6, Article 106. https://doi.org/10.3390/data6100106
[69]
Utz, C., Becker, S., Schnitzler, T., Farke, F.M., Herbert, F., et al. (2021) Apps against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three continents. ACM Digital Library, Yokohama, 8-13 May 2021, Article No. 70. https://doi.org/10.1145/3411764.3445517
[70]
Wilson, A.M., Aviles, N., Petrie, J.I., Beamer, P.I., Szabo, Z., Xie, M., et al. (2021) Quantifying SARS-CoV-2 Infection Risk within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations. Risk Analysis, 42, 162-176. https://doi.org/10.1111/risa.13768
[71]
Wu, S., Neill, R., Foo, C.D., Chua, A.Q., Jung, A.S., Haldane, V., et al. (2021) Aggressive Containment, Suppression, and Mitigation of COVID-19: Lessons Learnt from Eight Countries. BMJ, 375, e067508. https://doi.org/10.1136/bmj-2021-067508
[72]
Wu, Y., Ye, Q., Shen, F., Zhang, Z. and Jiang, C.L. (2022) Country-and App-Level Factors Affecting the Adoption and Evaluation of COVID-19 Mobile Apps. BMC Public Health, 22, Article No. 2457. https://doi.org/10.1186/s12889-022-14918-8
[73]
Wymant, C., Ferretti, L., Tsallis, D., Charalambides, M., et al. (2021) The Epidemiological Impact of the NHS COVID-19 App. Nature, 594, 408-412. https://doi.org/10.1038/s41586-021-03606-z
[74]
Yuan, Y., Ding, J., Wang, H., Jin, D. and Li, Y. (2022) Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. ACM Digital Library, Washington DC, 14-18 August 2022, 4752-4762. https://doi.org/10.1145/3534678.3542671
[75]
Zaidi, A., Ahuja, R. and Shahabi, C. (2022) Differentially Private Occupancy Monitoring from WiFi Access Points. IEEE International Conference on Mobile Data Management, Paphos, 6-9 June 2022, 361-366. https://doi.org/10.1109/MDM55031.2022.00081
[76]
Bradford, L., Aboy, M. and Liddell, K. (2020) COVID-19 Contact Tracing Apps: A Stress Test for Privacy, the GDPR, and Data Protection Regimes. Journal of Law and the Biosciences, 7, lsaa034. https://doi.org/10.1093/jlb/lsaa034
[77]
Sestino, A. and Merlo, V. (2021) Livello Percepito di Protezione dei dati Personali e Bisogno di Sicurezza dei Consumatori Come Predittori Dell’Intenzione All’Uso Di applicazioni Mobile per il Monitoraggio dei Contagi da COVID-19. Simposia, 1, 287-300.
[78]
Merlo, V., Pio, G., Giusto, F. and Bilancia, M. (2023) On the Exploitation of the Blockchain Technology in the Healthcare Sector: A Systematic Review. Expert Systems with Applications, 213, Article 118897. https://doi.org/10.1016/j.eswa.2022.118897
