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Data used in the regression analyses to identify the national factors related to the number of COVID-19 infections and COVID-19 deaths in each country and all results of the statistical analyses

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posted on 17.09.2021, 22:41 by Kiyohiro Oki
This file contains the dataset and the results of the statistical analyses to identify the national factors related to the number of COVID-19 infections and COVID-19 deaths in each country. The dataset includes the dependent variables (the cumulative number of COVID-19 infections and the cumulative number of COVID-19 deaths as of March 31, April 30, May 31, and June 30, 2020), independent variables (national culture, The degree of corruption in the country and the policy on COVID-19, temperature and precipitation of each country, and GDP per capita), and control variables (population density, median age, and obesity rates of the country, the number of days that COVID-19 has been detected for the first time in a country, and the presence or absence of forced BCG vaccination policy). This file also contains the descriptive statistics of all variables, the results of the correlation analyses, and the results of the regression analyses.

Funding

JSPS KAKENHI Grant Numbers JP17K13777

JSPS KAKENHI Grant Numbers JP20H01526

History

Manuscript title

Does CAGE framework predict COVID-19 infection?

Article DOI

10.7880/abas.0200721a