Examining the effects of COVID-19 Data with Panel Data Analysis

Hülya Çivak; Ceydanur Küren; Safiye Turgay

doi:10.23977/socmhm.2021.020101

Examining the effects of COVID-19 Data with Panel Data Analysis

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DOI: 10.23977/socmhm.2021.020101 | Downloads: 63 | Views: 2447

Author(s)

Hülya Çivak ¹, Ceydanur Küren ¹, Safiye Turgay ²

Affiliation(s)

¹ Institute of Science, Sakarya University, Turkey
² Department of Industrial Engineering, Sakarya University, Turkey

Corresponding Author

Hülya Çivak

ABSTRACT

In this study, the relationship between the COVID-19 outbreak spreading function, where cases, tests, age, hospitalization rate and mortality were defined as inputs, was examined for G20 countries. It also shows the extent to which countries have taken precautions against COVID-19 with the recommended congestion index. The data of G20 countries between 12.03.2020 and 29.05.2020 were analyzed and descriptive statistics were calculated from https://github.com/owid/covid-19-data/blob/master/public/data/owid-covid-data.xlsx. Panel data analysis is used to investigate the effect on the output value based on the variables in question for an event occurring at once. When examining the effect of the tightness index on the number of deaths, the correlation value was calculated as 0.7639. It has been observed that a one unit change in the hardness index increases production by 7.8017. In our study, unlike these studies, the social factors on the number of cases was examined and Panel Data Analysis Fixed Effects Model was applied using R Studio. At the same time, the relationship between the measures taken by countries and the number of cases / death rates was also examined.

KEYWORDS

COVID-19, pandemic, Mathematical Model, RStudio, Panel data analysis

CITE THIS PAPER

Hülya Çivak, Ceydanur Küren, Safiye Turgay, Examining the effects of COVID-19 Data with Panel Data Analysis. Social Medicine and Health Management (2021) Vol. 2: 1-16. DOI: http://dx.doi.org/10.23977/socmhm.2021.020101

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Examining the effects of COVID-19 Data with Panel Data Analysis

Author(s)

Affiliation(s)

Corresponding Author

ABSTRACT

KEYWORDS

CITE THIS PAPER

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