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 olde...

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Published inJournal of public health research Vol. 9; no. 4
Main Authors Madrazo Cabo, José Manuel, Monter Valera, Nuvia Adriana, Hernández Sánchez, Edith Jocelyn, Ruiz Sánchez, Mariola, Sánchez Machorro, Gabriela, Kurezyn Díaz, Crishelen
Format Journal Article
LanguageEnglish
Published PAGEPress Publications, Pavia, Italy 24.11.2020
SAGE Publishing
Subjects
country
Covid-19
isolation
mortality
population pyramid
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Summary: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).
Bibliography:Ethics approval and consent to participate: Not applicable, as this is an observational study that uses only public medical information and statistical data analysis with no experimentation with people or contact with patients.
Contributions: JMMC, theoretical framework, data analysis, review and criticism, correction on topics of interest, article conclusions; NAMV, realization of material and methods, the importance for public health, theoretical framework; EJHS, realization of the theoretical framework, generation of graphics, and discussion of the article; MRS, GSM, recruitment of information, theoretical framework, data analysis, generation of tables, and creation of graphs; CKD, realization of design and methods, data analysis, article review and criticism, corrections on important topics.
Conflict of interest: The authors declare that they have no conflicts of interest. This article aims to generate useful medical information for decision-making.
ISSN:2279-9036
2279-9028
2279-9036
DOI:10.4081/jphr.2020.1827