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...
| Publicado en: | Journal of Public Health Vol. 46; no. 1; pp. 87 - 97 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Mar2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176131448&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176131448 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17413842 1CA0 jtl: Journal of Public Health issn: 17413842 maglogo: N pubinfo: dt: Mar2024 vid: 46 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 176131448 176131448 176131448 10.1093/pubmed/fdad277 176131448 ppf: 87 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: 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 refInfo: holdings: @attributes: islocal: N |
|---|