دانلود مقاله با موضوع عوامل موثر بر COVID-19 مرگ و میر
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موضوع به انگلیسی:Factors affecting COVID-19
mortality
بخشی از متن:Abstract
Purpose – The purpose of this paper is to study the factors affecting COVID-19 mortality.
Design/methodology/approach – An empirical model is developed in which the mortality rate per million is
the dependent variable, and life expectancy at birth, physician density, education, obesity, proportion of
population over the age of 65, urbanization (population density) and per capita income are explanatory
variables. Crosscountry data from 184 countries are used to estimate the quantile regression that is employed.
Findings – The estimated results suggest that obesity, the proportion of the population over the age of 65 and
urbanization have a positive and statistically significant effect on COVID-19 mortality. Not surprisingly, per
capita income has a negative and statistically significant effect on COVID-19 death rate.
Research limitations/implications – The study is based on the COVID-19 mortality data from June 2020,
which have constantly being changed. What data reveal today may be different after two or three months.
Despite this limitation, it is expected that this study will serve as the basis for future research in this area.
Practical implications – Since the findings suggest that obesity, population over the age of 65 and density
are the primary factors affecting COVID-19 death, the policy-makers should pay particular attention to these
factors.
Originality/value – To the authors’ knowledge, this is first attempt to estimate the factors affecting the
COVID-19 mortality rate. Its novelty also lies in the use of quantile regressions, which is more efficient in
estimating empirical models with heterogeneous data.
Keywords COVID-19, Mortality rate, Pandemic, Obesity, Urbanization
Paper type Research paper
