Could the COVID-19 Open Data Strategy be Adapted to Address Other Global Health Threats Effectively A Bibliometric Analysis of the Literature


  • Federico Monaco Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Leopoldo Sarli Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Evelina Ceccato Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Paola Masuzzo Institute for Globally Distributed Open Research and Education (IGDORE), 9042 Ghent, Belgium
  • Rosangela De Simone Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Elisa Minardi Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Paolo Giorgi Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Arianna Ghezzo Department of Medicine and Surgery, University of Parma, 43125 Parma PR, Italy
  • Antonio Bonacaro School of Health and Sports Sciences, University of Suffolk, Ipswich, IP4 1QJ, United Kingdom



Background: In the wake of the pandemic, open data has made possible mapping, evaluating, and monitoring the COVID-19 rate of transmission at a local, national, and global level. Such a strategy follows WHO's efforts to provide updated and useful information in order to tackle public health issues and provide resources for research in the health sciences. Methods: A bibliometric analysis of the literature was conducted. Results: Published papers on open data impact on infection risk dramatically increased in the observed period of time (2018–21). Furthermore, it becomes apparent that, while COVID-19-related literature led to such a "critical mass" of publications in 2018–21, papers about open data, but antimicrobial resistance and healthcare associated infections are very few or absent. Conclusion: An open data strategy is beneficial in tracking, studying, and adopting measures not only for Covid-19 but also for providing nurses and allied healthcare professionals with firm evidences upon which to develop health plans.


Antimicrobial Resistance, COVID-19, Healthcare Associated Infection, Infection Control, Open Data


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How to Cite

Monaco, F., Sarli, L., Ceccato, E., Masuzzo, P., De Simone, R., Minardi, E., Giorgi, P., Ghezzo, A., & Bonacaro, A. (2023). Could the COVID-19 Open Data Strategy be Adapted to Address Other Global Health Threats Effectively A Bibliometric Analysis of the Literature. The Malaysian Journal of Nursing (MJN), 15(1), 152-160.