Demographic Variables Associated with Covid-19 Mortality

Objectives: Covid-19 is a betacoronavirus that was initially transmitted to humans from an animal host. It enters the cell by binding its protein S with angiotensin-converted enzyme receptors. It is transmitted through direct contact and respiratory drops. The most affected population so far are older adults and people with chronic conditions. The objective of this research is to analyze the possible association between the structure of the population pyramid, the Gross Domestic Product, the type of isolation and screening used to detect Covid-19 in the countries with the highest and lowest mortality from this disease. Design and Methods: Some variables take part in the Covid- 19 mortality worldwide, such as the population structure, expressed in the population pyramid by country, the type of isolation adopted in each nation, the Gross Domestic Product (GDP) as well as the type of screening that is implemented in the different countries analyzed. Results: After analyzing the mean difference in the countries with a regressive and progressive population pyramid, an association was identified between the regressive population pyramid structure and the higher mortality rate (p<0.001). Conclusions: The countries with a progressive population pyramid are the most benefited by making their population more screened since the mortality rate decreases significantly compared to the countries with less attribution (p<0.036). Significance for public health In the present investigation, there is an analysis of socioeconomic and demographics variables that influence Covid-19 mortality. As established in the Essential Functions of Public Health, it is necessary to implement actions that mitigate, in this case, the Covid-19 for the good of society. Being an emergency and social health that requires effective and immediate action by governments, people, and companies, based on social determinations, analyze the type of isolation applied in each country and the Gross Domestic Product. The purpose is to contribute to the collective effort, generating knowledge in public health that allows the taking of decisions.