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

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...

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Publicado en:Journal of Public Health Vol. 46; no. 1; pp. 87 - 97
Autores principales: Tzivian, Lilian, Benis, Arriel, Rusakova, Agnese, Syundyukov, Emil, Seidmann, Abraham, Ophir, Yotam
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Mar2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2024
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      pub: Oxford University Press / USA
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        atl: International scientific communication on COVID-19 data: management pitfalls understanding.
      aug:
        au:
          Tzivian, Lilian
          Benis, Arriel
          Rusakova, Agnese
          Syundyukov, Emil
          Seidmann, Abraham
          Ophir, Yotam
        affil: Institute of Clinical and Preventive Medicine, University of Latvia , Riga LV-1586 , Latvia
      sug:
        subj:
          Health Information
          Communication
          COVID-19 Pandemic
          Government Regulations
          Human
          United Kingdom
          Israel
          Latvia
          United States
          Qualitative Studies
          Descriptive Research
          Health Information Management
          Databases, Health
          Models, Statistical
          COVID-19 Testing
          Mortality
          Immunization
          COVID-19 Vaccines
          Data Analysis, Statistical
          COVID-19 Pandemic Prevention and Control
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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