Information Technology and the pandemic: a preliminary multinational analysis of the impact of mobile tracking technology on the COVID-19 contagion control

ABSTRACT This paper explores the benefits and drawbacks of government surveillance within a public health crisis, specifically the COVID-19 outbreak of 2020. We review the current state of COVID-19 infection tracking by public health authorities, and then we examine the effectiveness of voluntary and mandatory mobile contact-tracing apps by COVID-19-positive or suspected positive individuals in China, Germany, Italy, Singapore, South Korea, and the United States. Through a Difference-In-Differences test, the apps were found to be highly significantly correlated with a reduction in the spread of COVID-19 in their countries. Robustness tests were run with four alternative models and the results are kept and presented within. In light of the success of these apps, ethical implications for their use during and beyond this public health crisis are discussed, including data governance and individual privacy issues.

[1]  K. Eames,et al.  Contact tracing strategies in heterogeneous populations , 2006, Epidemiology and Infection.

[2]  Pär J. Ågerfalk,et al.  Information systems in the age of pandemics: COVID-19 and beyond , 2020, Eur. J. Inf. Syst..

[3]  R. Bharat Rao,et al.  Evolution of mobile location-based services , 2003, CACM.

[4]  The sad and tragic life of Typhoid Mary. , 1996, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[5]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

[6]  E. Lau,et al.  Effect of changing case definitions for COVID-19 on the epidemic curve and transmission parameters in mainland China: a modelling study , 2020, The Lancet Public Health.

[7]  Lucie Abeler-Dörner,et al.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing , 2020, Science.

[8]  Xin Li,et al.  Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence , 2014, Inf. Syst. Res..

[9]  Mary Beth Watson-Manheim,et al.  Partnering for prosperity: small IT vendor partnership formation and the establishment of partner pools , 2020, Eur. J. Inf. Syst..

[10]  H. Theil Introduction to econometrics , 1978 .

[11]  Pär J. Ågerfalk Artificial intelligence as digital agency , 2020, Eur. J. Inf. Syst..

[12]  X. Zhang,et al.  Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .

[13]  J. Angrist,et al.  Empirical Strategies in Labor Economics , 1998 .