The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.
【저자키워드】 COVID-19, population density, Life expectancy, death rate, vulnerable employment, 【초록키워드】 pandemic, social distancing, Population, Measures, Latin America, mortality rate, resource, deaths, employment, death rates, confirmed case, correlations, Multiple regression analysis, positive, dead, variable, Affect, GDP, country, effective, combating, analyzed, affected, lack, caused, significantly, proportion, indicated, addition, determine, Latin, 【제목키워드】 demographic, dependence, variable, Rate, Latin,