Health comorbidities and their effects on people with SARS-Cov-2 in Mexico
Abstract
As the COVID-19 pandemic evolves, certain comorbidities have been found to be related to this disease. These factors become important to define the group considered vulnerable, as well as the measures (confinement or distancing) and treatments that must be used in accordance with the protocols established by governments. Using data from the General Directorate of Epidemiology of the Federal Government, at the cut-off of August 5, a binomial logit regression model was applied to estimate the effects of comorbidities in patients infected with the SAR-CoV-2 virus, and determine which factors are most likely to occur associated with the risk of death from this disease. The results reveal that suffering from diabetes, as well as the registration of other comorbidities, increases the probability of death, while age is a variable that potentially increases it. The findings show the importance of promoting and redesigning preventive health policies that include substantial changes in the way of life of patients and their families as one of the ways to improve their well-being.
Keywords
SARS-CoV-2, comorbidities, diabetes, age, poverty
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