Your browser doesn't support javascript.
loading
Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute.
Boender, T Sonia; Schneider, Paula Helene; Houareau, Claudia; Wehrli, Silvan; Purnat, Tina D; Ishizumi, Atsuyoshi; Wilhelm, Elisabeth; Voegeli, Christopher; Wieler, Lothar H; Leuker, Christina.
Affiliation
  • Boender TS; Risk Communication Unit, Robert Koch Institute, Berlin, Germany.
  • Schneider PH; Risk Communication Unit, Robert Koch Institute, Berlin, Germany.
  • Houareau C; Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
  • Wehrli S; Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany.
  • Purnat TD; Health Emergencies Programme, Department of Pandemic and Epidemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland.
  • Ishizumi A; Health Emergencies Programme, Department of Pandemic and Epidemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland.
  • Wilhelm E; School of Public Health Information Futures Lab, Brown University, Providence, RI, United States.
  • Voegeli C; Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Wieler LH; Robert Koch Institute, Berlin, Germany.
  • Leuker C; Digital Global Public Health, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany.
JMIR Infodemiology ; 3: e43646, 2023 Jun 01.
Article in En | MEDLINE | ID: mdl-37261891
BACKGROUND: To respond to the need to establish infodemic management functions at the national public health institute in Germany (Robert Koch Institute, RKI), we explored and assessed available data sources, developed a social listening and integrated analysis framework, and defined when infodemic management functions should be activated during emergencies. OBJECTIVE: We aimed to establish a framework for social listening and integrated analysis for public health in the German context using international examples and technical guidance documents for infodemic management. METHODS: This study completed the following objectives: identified (potentially) available data sources for social listening and integrated analysis; assessed these data sources for their suitability and usefulness for integrated analysis in addition to an assessment of their risk using the RKI's standardized data protection requirements; developed a framework and workflow to combine social listening and integrated analysis to report back actionable infodemic insights for public health communications by the RKI and stakeholders; and defined criteria for activating integrated analysis structures in the context of a specific health event or health emergency. RESULTS: We included and classified 38% (16/42) of the identified and assessed data sources for social listening and integrated analysis at the RKI into 3 categories: social media and web-based listening data, RKI-specific data, and infodemic insights. Most data sources can be analyzed weekly to detect current trends and narratives and to inform a timely response by reporting insights that include a risk assessment and scalar judgments of different narratives and themes. CONCLUSIONS: This study identified, assessed, and prioritized a wide range of data sources for social listening and integrated analysis to report actionable infodemic insights, ensuring a valuable first step in establishing and operationalizing infodemic management at the RKI. This case study also serves as a roadmap for others. Ultimately, once operational, these activities will inform better and targeted public health communication at the RKI and beyond.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: JMIR Infodemiology Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: JMIR Infodemiology Year: 2023 Document type: Article Affiliation country: Country of publication: