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International scientific communication on COVID-19 data: management pitfalls understanding

  • Lilian Tzivian
  • , Arriel Benis
  • , Agnese Rusakova
  • , Emil Syundyukov
  • , Abraham Seidmann
  • , Yotam Ophir
  • University of Latvia
  • Holon Institute of Technology
  • Longenesis Ltd
  • Boston University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background During the pandemic, countries utilized various forms of statistical estimations of coronavirus disease-2019 (COVID-19) impact. Differences between databases make direct comparisons and interpretations of data in different countries a challenge. We evaluated country-specific approaches to COVID-19 data and recommended changes that would improve future international collaborations. Methods We compared the COVID-19 reports presented on official UK (National Health System), Israeli (Department of Health), Latvian (Center for Disease Prevention and Control) and USA (Centers for Disease Control and Prevention) health authorities’ websites. Results Our analysis demonstrated critical differences in the ways COVID-19 statistics were made available to the general and scientific communities. Specifically, the differences in approaches were found in the presentation of the number of infected cases and tests, and percentage of positive cases, the number of severe cases, the number of vaccinated, and the number and percent of deaths. Conclusion Findability, Accessibility, Interoperability and Reusability principles could guide the development of essential global standards that provide a basis for communication within and outside of the scientific community.

Original languageEnglish
Pages (from-to)87-96
Number of pages10
JournalJournal of Public Health
Volume46
Issue number1
DOIs
StatePublished - Mar 1 2024

Keywords

  • COVID-19
  • data accuracy
  • information management
  • interdisciplinary communication
  • statistics as topic

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