Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-25T09:12:27.466Z Has data issue: false hasContentIssue false

Signals, Signs and Syndromes: Tracing [Digital] Transformations in European Health Security

Published online by Cambridge University Press:  19 December 2019

Stephen L ROBERTS*
Affiliation:
Department of Health Policy, London School of Economics and Political Science (LSE); email: [email protected].

Abstract

This article traces the ascent of new digital surveillance practices for European health security in an era of heightened global pandemic vigilance. In doing so, the article demonstrates how the confluence of evolving processes of digitisation and production of new digital data sources have enabled EU health security agents in recent years to enhance infectious disease surveillance through novel digitised practices of epidemic intelligence. Subsequently, the article thus argues that the centralisation of these new epidemic intelligence technologies to the core of EU health security initiatives has been foundational to the ascent of a new blended health surveillance practice operating across the EU, which amalgamates the digitised surface alerts of these new big data surveillance technologies with the long-established and traditional disease surveillance legacies of EU Member States. By utilising the concept of surface knowledge in relation to the ascent of these European epidemic intelligence practices, this article demonstrates the key epistemic and methodological shifts which occur in the production of knowledge, alerts and signals for accelerated infectious disease surveillance and the governing of public health risks within the EU.

Type
Symposium on European Union Governance of Health Crisis and Disaster Management
Copyright
© Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1 European Commission, “The macroeconomic effects of a pandemic in Europe- A model-based assessment” <ec.europa.eu/economy_finance/publications/pages/publication708_en.pdf> (last accessed 3 December 2019).

2 E Speakman et al, “Pandemic Legislation in the European Union: Fit for purpose? The need for a systematic comparison of national laws” (2017) 121(10) Health Policy 1021.

3 P Kłosińska-Dąbrowska, “Tracing Individuals under the EU Regime on Serious, Cross-border Health Threats: An Appraisal of the System of Personal Data Protection” (2017) 8(4) EJRR 700.

4 S Elbe et al, “Securing circulation pharmaceutically: Antiviral stockpiling and pandemic preparedness in the European Union” (2014) 45(5) Security Dialogue 440.

5 A Nicoll et al, “Developing pandemic preparedness in Europe in the 21st century: experience, evolution and next steps” (2012) Bulletin of the World Health Organization <www.who.int/bulletin/volumes/90/4/11-097972/en/>.

6 J Bartlett, “An Epidemic of Epidemics” (2014) Medscape Infectious Diseases.

7 M Foucault, Security, Territory, Population Lectures at the Collège de France 1977–1978 (Picador 2007); M Foucault, The Birth of Biopolitics Lectures at the Collège de France 1978–1979 (Picador 2008).

8 L Simonsen et al, “Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems” (2016) 214(4) The Journal of Infectious Diseases 380.

9 C Castillo-Salgado, “Trends and directions of global public health surveillance” (2010) 32(1) Epidemiologic Reviews 93.

10 D Heymann, “Emerging and Re-emerging Infections” Major Health Problems <www.ph.ucla.edu/epi/faculty/detels/PH150/Chap9-17_OTPH5.pdf> (last accessed 3 December 2019).

11 B Rieder, “Beyond Surveillance: How Do Markets and Algorithms “Think”?” (2017) 31(8) Le foucaldien 1.

12 A Valleron, “A Computer Network for the Surveillance of Communicable Diseases; The French Experiment” (1996) 11(76) American Journal of Public Health 1289.

13 C Aradau et al, “Security, Technologies of Risk, and the Political” (2008) 39(2–3) Security Dialogue 147.

14 A Nicoll et al, “Developing pandemic preparedness in Europe in the 21st century: experience, evolution and next steps” (2012) 90 Bulletin of the World Health Organization 311.

15 European Union “European Security Strategy- A Secure Europe in a Better World” <europa.eu/globalstrategy/en/european-security-strategy-secure-europe-better-world> (last accessed 3 December 2019).

16 E Vayena et al, “Ethical Challenges of Big Data in Public Health” (2015) 11(2) PLOS Computational Biology 1.

17 C Paquet et al, “Epidemic Intelligence: A New Framework for Strengthening Disease Surveillance in Europe” (2006) 11(12) Eurosurveillance 665.

18 European Centre for Disease Prevention and Control “Epidemic intelligence and outbreak response” <ecdc.europa.eu/en/about-us/what-we-do/epidemic-intelligence-and-outbreak-response> (last accessed 3 December 2019).

19 F Mostashari and S Hartman, “Syndromic surveillance: A local perspective” (2003) 80(2) Journal of Urban Health: Bulletin i1.

20 L Weir and E Mykhalovskiy, Global Public Health Vigilance: Creating a World on Alert (Routledge 2010).

21 ibid, pp 146–148.

22 ibid.

23 ibid.

24 M Dion et al, “Big Data and the Global Public Health Intelligence Network (GPHIN)” (2015) 41(9) Canadian Communicable Disease Report 209.

25 ibid.

26 N Collier, “An overview of Internet biosurveillance” (2013) 19(11) European Society of Clinical Microbiology and Infectious Diseases 1006.

27 HealthMap <www.diseasedaily.org/about> (last accessed 3 December 2019).

28 C Freifeld at al, “HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports” (2008) 15(2) Journal of American Medical Informatics Association 150.

29 ibid.

30 Africaguinee.com <www.healthmap.org/ebola/#timeline>(last accessed 3 December 2019).

32 Report on ECDC/JRC collaboration on development of online tool for epidemic intelligence <ecdc.europa.eu/en/news-events/report-ecdcjrc-collaboration-development-online-tool-epidemic-intelligence> (last accessed 3 December 2019).

33 Weir and Mykhalovskiy, supra, note 20.

34 M Foucault, Power/Knowledge: Selected Interviews & Other Writings 1972–1977 (Vintage Publishing 1980).

35 ibid, pp 168–175.

36 ibid.

37 ibid.

38 Supra, note 7.

39 V Duclos, “Algorithmic futures: The life and death of Google Flu Trends” (2019) 6(3) Medicine Anthropology Theory 54.

40 Supra, note 8.

41 ibid.

42 L Bengtsson et al, “Assembling European health security and the hunt for cross-border health threats” (2019) 50(2) Security Dialogue 115.

43 Supra, note 17.

44 E Velasco et al, “Social Media and Internet-Based Data in Global Systems for Public Health Surveillance: A Systematic Review” (2014) 92(1) Milbank Quarterly 7.

45 M French, "Gaps in the gaze: Informatic practice and the work of public health surveillance" (2014) 12(2) Surveillance & Society 226.

46 European Commission, “What can big data do for you?” <ec.europa.eu/digital-single-market/en/what-big-data-can-do-you> (last accessed 3 December 2019).

47 European Commission Horizon 2020 Work Programme 2018-2020 <ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-health_en.pdf> (last accessed 3 December 2019).

48 In recent years, for example, there has been much discussion on how the linking of digitised electronic health records (EHRs) to person-specific pathogen genomic data could enhance the timeliness, precision and effectiveness of public health responses to infectious diseases. Within these new health surveillance practices, however, ongoing issues surrounding the possibility of re-identifying anonymised personal data continue to be of the highest ethical and legal concern. See further G Gilbert et al, “Communicable Disease Surveillance Ethics in the Age of Big Data and New Technology” (2019) 11(2) Asian Bioethics Review 173.