National Publication Productivity during the COVID-19 Pandemic—A Preliminary Exploratory Analysis of the 30 Countries Most Affected
Título
National Publication Productivity during the COVID-19 Pandemic—A Preliminary Exploratory Analysis of the 30 Countries Most Affected
Autor
Simon M. Müller, Georg F. Mueller, Alexander A. Navarini, Oliver Brandt
Descripción
Background: The COVID 19 pandemic increased publication productivity enormously with numerous new COVID-19-related articles appearing daily, despite the fact that many health care workers in the partially overburdened national health care systems were faced with major challenges. Methods: In a cross-sectional, observational, retrospective study we compared and correlated 17 epidemiologic, health care system-related and health-economic factors from medical databases and intergovernmental organisations potentially influencing the COVID-19 and non-COVID-19 publication productivity between 1 January and 30 April 2020 amongst the 30 countries most severely affected by the pandemic. These factors were additionally correlated with the national pre-COVID-19 publication rate for the same pre-year period to identify potential changes in the general publication behaviour. Findings: COVID-19 and non-COVID-19 publication rates correlated strongest with access to and quality of health care (ρ = 0.80 and 0.87, p < 0.0001), COVID-19 cases per capita (ρ = 0.78 and 0.72, p < 0.0001), GDP per capita (ρ = 0.69 and 0.76, p < 0.0001), health spending per capita (ρ = 0.61 and 0.73, p < 0.0001) and the pre-COVID-19 Hirsch-Index (ρ = 0.61 and 0.62, p = 0.002 and
Fecha
2020
Materia
covid-19, Pandemic, SARS-CoV-2, research activity, Publication productivity
Identificador
10.3390/biology9090271
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Biology (General)
Colección
Citación
Simon M. Müller, Georg F. Mueller, Alexander A. Navarini, Oliver Brandt, “National Publication Productivity during the COVID-19 Pandemic—A Preliminary Exploratory Analysis of the 30 Countries Most Affected,” SOCICT Open, consulta 16 de abril de 2026, https://www.socictopen.socict.org/items/show/5369.
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