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Research Article

Privacy Management and Health Information Sharing via Contact Tracing during the COVID-19 Pandemic: A Hypothetical Study on AI-Based Technologies

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References

  • Adler, M. W., & Johnson, A. M. (1988). Contact tracing for HIV infection. British Medical Journal, 296(6634), 1420–1421. https://doi.org/10.1136/bmj.296.6634.1420
  • Aguirre, E., Mahr, D., Grewal, D., De Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34–49. https://doi.org/10.1016/j.jretai.2014.09.005
  • Ancker, J. S., Edwards, A. M., Miller, M. C., & Kaushal, R. (2012). Consumer perceptions of electronic health information exchange. American Journal of Preventive Medicine, 43(1), 76–80. https://doi.org/10.1016/j.amepre.2012.02.027
  • Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370. https://doi.org/10.2307/20650295
  • Begg, R. (2009). Artificial intelligence techniques in medicine and healthcare. In J. Tan (Ed.), Medical informatics: concepts, methodologies, tools and applications (pp. 1750–1757). IGI Global.
  • Bengio, Y., Janda, R., Yu, Y. W., Ippolito, D., Jarvie, M., Pilat, D., Struck, B., Krastev, S., & Sharma, A. (2020). The need for privacy with public digital contact tracing during the COVID-19 pandemic. The Lancet Digital Health, 2(7), E342–E344. https://doi.org/10.1016/S2589-7500(20)30133-3
  • Bogoch, I. I., Watts, A., Thomas-Bachli, A., Huber, C., Kraemer, M. U., & Khan, K. (2020). Pneumonia of unknown aetiology in Wuhan, China: Potential for international spread via commercial air travel. Journal of Travel Medicine, 27(2), taaa008. https://doi.org/10.1093/jtm/taaa008
  • Cho, H., Ippolito, D., & Yu, Y. W. (2020). Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs. arXiv. https://arxiv.org/pdf/2003.11511.pdf
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
  • Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business Press.
  • DeCarlo, L. T. (1997). On the meaning and use of kurtosis. Psychological Methods, 2(3), 292–307. https://doi.org/10.1037/1082-989X.2.3.292
  • Esmaeilzadeh, P. (2019a). Consumers’ perceptions of using health information exchanges (HIEs) for research purposes. Information Systems Management, 36(1), 57–77. https://doi.org/10.1080/10580530.2018.1553649
  • Esmaeilzadeh, P. (2019b). The effects of public concern for information privacy on the adoption of health information exchanges (HIEs) by healthcare entities. Health Communication, 34(10), 1202–1211. https://doi.org/10.1080/10410236.2018.1471336
  • Goffman, E. (1963). Stigma: Notes on the management of spoiled identity. Prentice-Hall.
  • Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://doi.org/10.2307/2092623
  • Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
  • Hall, M. A., Dugan, E., Zheng, B., & Mishra, A. K. (2001). Trust in physicians and medical institutions: What is it, can it be measured, and does it matter? The Milbank Quarterly, 79(4), 613–639. https://doi.org/10.1111/1468-0009.00223
  • Hargittai, E., Redmiles, E. M., Vitak, J., & Zimmer, M. (2020). Americans’ willingness to adopt a COVID-19 tracking app. First Monday, 25(11). https://doi.org/10.5210/fm.v25i11.11095
  • Hong, S. J. (2018). Gendered cultural identities: The influences of family and privacy boundaries, subjective norms, and stigma beliefs on family health history communication. Health Communication, 33(8), 927–938. https://doi.org/10.1080/10410236.2017.1322480
  • Kaptchuk, G., Goldstein, D. G., Hargittai, E., Hofman, J., & Redmiles, E. M. (2020). How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt. arXiv. https://arxiv.org/abs/2005.04343
  • Kenny, D. A. (2020). Measuring model fit. http://davidakenny.net/cm/fit.htm
  • Kim, K. K., Joseph, J. G., & Ohno-Machado, L. (2015). Comparison of consumers’ views on electronic data sharing for healthcare and research. Journal of the American Medical Informatics Association, 22(4), 821–830. https://doi.org/10.1093/jamia/ocv014
  • Kreuter, M. W., Green, M. C., Cappella, J. N., Slater, M. D., Wise, M. E., Storey, D., Clark, E. M., O’Keefe, D. J., Erwin, D. O., Holmes, K., Hinyard, L. J., Houston, T., & Woolley, S. (2007). Narrative communication in cancer prevention and control: A framework to guide research and application. Annals of Behavioral Medicine, 33(3), 221–235. https://doi.org/10.1007/BF02879904
  • Kricka, L. J., Polevikov, S., Park, J. Y., Fortina, P., Bernardini, S., D., Kolesov, V., & Grishkov, M. (2020). Artificial intelligence-powered search tools and resources in the fight against covid-19. Ejifcc, 31(2), 106–116. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294813/
  • Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020). Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review. Chaos, Solitons & Fractals, 139, 110059. https://doi.org/10.1016/j.chaos.2020.110059
  • Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22–42. https://doi.org/10.1111/j.1540-4560.1977.tb01880.x
  • LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
  • Lleras, C. (2005). Path analysis. Encyclopedia of Social Measurement, 3(1), 25–30.
  • Logie, C. H., & Turan, J. M. (2020). How do we balance tensions between COVID-19 public health responses and stigma mitigation? Learning from HIV research. AIDS and Behavior, 24(7), 2003–2006. https://doi.org/10.1007/s10461-020-02856-8
  • Macho, S., & Ledermann, T. (2011). Estimating, testing, and comparing specific effects in structural equation models: The phantom model approach. Psychological Methods, 16(1), 34–43. https://doi.org/10.1037/a0021763
  • McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
  • Merz, Z. C., Lace, J. W., & Eisenstein, A. M. (2020). Examining broad intellectual abilities obtained within an mTurk internet sample. Current Psychology, 1–9. https://doi.org/10.1007/s12144-020-00741-0
  • Mueller, R. O., & Hancock, G. R. (2019). Structural equation modeling. In G. R. Hancock, L. M. Stapleton, & R. O. Mueller (Eds.), The reviewer’s guide to quantitative methods in the social sciences (pp. 445–456). Routledge/Taylor & Francis Group.
  • Nissenbaum, H. (2004). Privacy as contextual integrity. Washington Law Review, 79(1), 119–157. https://digitalcommons.law.uw.edu/wlr/vol79/iss1/10
  • Parasuraman, S., & Igbaria, M. (1990). An examination of gender differences in the determinants of computer anxiety and attitudes toward microcomputers among managers. International Journal of Man-Machine Studies, 32(3), 327–340. https://doi.org/10.1016/S0020-7373(08)80006-5
  • Parker, C., Reeves, M., Weiner, M., & Adler-Milstein, J. (2017). Health information exchange organizations and their support for research: Current state and future outlook. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 54, 0046958017713709. https://doi.org/10.1177/0046958017713709
  • Patel, V. N., Abramson, E., Edwards, A. M., Cheung, M. A., Dhopeshwarkar, R. V., & Kaushal, R. (2011). Consumer attitudes toward personal health records in a beacon community. The American Journal of Managed Care, 17(4), e104–e120.
  • Patil, S., Lu, H., Saunders, C. L., Potoglou, D., & Robinson, N. (2016). Public preferences for electronic health data storage, access, and sharing—Evidence from a pan-European survey. Journal of the American Medical Informatics Association, 23(6), 1096–1106. https://doi.org/10.1093/jamia/ocw012
  • Petronio, S. (1991). Communication boundary management: A theoretical model of managing disclosure of private information between marital couples. Communication Theory, 1(4), 311–335. https://doi.org/10.1111/j.1468-2885.1991.tb00023.x
  • Petronio, S. (2002). Boundaries of privacy: Dialectics of disclosure. SUNY Press.
  • Petronio, S., DiCorcia, M. J., & Duggan, A. (2012). Navigating ethics of physician-patient confidentiality: A communication privacy management analysis. The Permanente Journal, 16(4), 41–45. https://doi.org/10.7812/TPP/12-042
  • Petronio, S., & Sargent, J. (2011). Disclosure predicaments arising during the course of patient care: Nurses’ privacy management. Health Communication, 26(3), 255–266. https://doi.org/10.1080/10410236.2010.549812
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
  • Raskar, R., Schunemann, I., Barbar, R., Vilcans, K., Gray, J., Vepakomma, P., Kapa, S., Nuzzo, A., Gupta, R., Berke, A., Greenwood, D., Keegan, C., Kanaparti, S., Beaudry, R., Stansbury, D., Arcila, B. B., Kanaparti, R., Pamplona, V., Benedetti, F. M., … Werner, J. (2020). Apps gone rogue: Maintaining personal privacy in an epidemic. arXiv. https://arxiv.org/pdf/2003.08567.pdf
  • Rothstein, M. A. (2015). Ethical issues in big data health research: Currents in contemporary bioethics. The Journal of Law, Medicine & Ethics, 43(2), 425–429. https://doi.org/10.1111/jlme.12258
  • Sheehan, K. B. (2018). Crowdsourcing research: Data collection with Amazon’s mechanical turk. Communication Monographs, 85(1), 140–156. https://doi.org/10.1080/03637751.2017.1342043
  • Steelman, Z. R., Hammer, B. I., & Limayem, M. (2014). Data collection in the digital age. MIS Quarterly, 38(2), 355–378. https://doi.org/10.25300/MISQ/2014/38.2.02
  • Stevens, J. P. (2009). Applied multivariate statistics for the social sciences (5th ed.). Routledge Academic.
  • Stewart, K. A., & Segars, A. H. (2002). An empirical examination of the concern for information privacy instrument. Information Systems Research, 13(1), 36–49. https://doi.org/10.1287/isre.13.1.36.97
  • Sun, Y., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278–292. https://doi.org/10.1016/j.chb.2015.06.006
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
  • Vest, J. R., & Gamm, L. D. (2010). Health information exchange: Persistent challenges and new strategies. Journal of the American Medical Informatics Association, 17(3), 288–294. https://doi.org/10.1136/jamia.2010.003673
  • Vitak, J., & Zimmer, M. (2020). More than just privacy: Using contextual integrity to evaluate the long-term risks from COVID-19 surveillance technologies. Social Media + Society, 6(3), 2056305120948250. https://doi.org/10.1177/2056305120948250
  • Waller, J., Marlow, L. A., & Wardle, J. (2007). The association between knowledge of HPV and feelings of stigma, shame and anxiety. Sexually Transmitted Infections, 83(2), 155–159. https://doi.org/10.1136/sti.2006.023333
  • Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. https://doi.org/10.2307/25148667
  • Webb, G., Browne, C., Huo, X., Seydi, O., Seydi, M., & Magal, P. (2015). A model of the 2014 Ebola epidemic in west Africa with contact tracing. PLOS Currents Outbreaks, 7, PMC4323422.
  • Westfall, P. H., & Henning, K. S. S. (2013). Texts in statistical science: Understanding advanced statistical methods. Taylor & Francis.
  • Whiddett, R., Hunter, I., Engelbrecht, J., & Handy, J. (2006). Patients’ attitudes towards sharing their health information. International Journal of Medical Informatics, 75(7), 530–541. https://doi.org/10.1016/j.ijmedinf.2005.08.009
  • World Health Organization. (2017, May 9). Contact tracing. https://www.who.int/news-room/q-a-detail/contact-tracing
  • World Health Organization. (2020). Ethical considerations to guide the use of digital proximity tracing technologies for COVID-19 contact tracing. https://apps.who.int/iris/bitstream/handle/10665/332200/WHO-2019-nCoV-Ethics_Contact_tracing_apps-2020.1-eng.pdf

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