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Media coverage of antimicrobial resistance in Germany and Switzerland: An interpretation through the multiple streams framework

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  • Josefine, Wyser
  • Tanja, Puran
  • Johanna, Hornung
  • Manuel, Fischer

Abstract

This article analyzes the newspaper coverage of antimicrobial resistance (AMR) between 1999 and 2021 in Germany and Switzerland through the lens of the Multiple Streams Framework (MSF). The MSF serves as an organizing framework to trace the development of AMR media coverage by focusing on key elements of the policy process: problems, solutions, problem brokers and policy entrepreneurs. The analysis produces three main findings: First, the overall newspaper coverage of AMR is increasing from 1999 to 2021, albeit non-linearly but related to specific events. Second, the general growth in AMR and the use of antibiotics with animals are the most frequently mentioned problems. Different types of solutions are prominent in the media, but only some actors manage to connect their preferred solution to a given problem, while other solutions appear independently of specific problems. Third, scientific and state actors from the national level are most prominent in AMR media coverage, and potentially act as entrepreneurs. Overall, the analysis highlights the diversity of problems, solutions, and actors, and thus of multiple perspectives and dynamics, on AMR as an issue of emerging attention.

Suggested Citation

  • Josefine, Wyser & Tanja, Puran & Johanna, Hornung & Manuel, Fischer, 2024. "Media coverage of antimicrobial resistance in Germany and Switzerland: An interpretation through the multiple streams framework," Social Science & Medicine, Elsevier, vol. 363(C).
    • Handle: RePEc:eee:socmed:v:363:y:2024:i:c:s0277953624009249
    DOI: 10.1016/j.socscimed.2024.117470
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    References listed on IDEAS

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    1. Joffe, Hélène & Haarhoff, Georgina, 2002. "Representations of far-flung illnesses: the case of Ebola in Britain," Social Science & Medicine, Elsevier, vol. 54(6), pages 955-969, March.
    2. Frid-Nielsen, Snorre Sylvester & Rubin, Olivier & Baekkeskov, Erik, 2019. "The state of social science research on antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 242(C).
    3. Pita Spruijt & Arthur C. Petersen, 2022. "Multilevel governance of antimicrobial resistance risks: a literature review," Journal of Risk Research, Taylor & Francis Journals, vol. 25(8), pages 945-958, August.
    4. Adrian Rinscheid, 2020. "Business Power in Noisy Politics: An Exploration Based on Discourse Network Analysis and Survey Data," Politics and Governance, Cogitatio Press, vol. 8(2), pages 286-297.
    5. Davis, Mark & Lyall, Benjamin & Whittaker, Andrea & Lindgren, Mia & Djerf-Pierre, Monika & Flowers, Paul, 2020. "A year in the public life of superbugs: News media on antimicrobial resistance and implications for health communications," Social Science & Medicine, Elsevier, vol. 256(C).
    6. Lorenz Kammermann, 2018. "Factors Driving the Promotion of Hydroelectricity: A Qualitative Comparative Analysis," Review of Policy Research, Policy Studies Organization, vol. 35(2), pages 213-237, March.
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