ABSTRACT
SARS-Cov 2 is the etiological agent responsible for Covid 19 disease, that has become a pandemic, whose natural history of infection, severity and mortality depends largely on the presence or non-identifiable risk factors in the incidence populations that allow the estimation of the risk status, being the fundamental objective of assessing the risk factors for infection by said coronavirus in the Canton Ambato, Tungurahua Province, Ecuador;through an integrated platform based on the use of concurrent technologies. It is applied research, based on an experimental, longitudinal and prospective explanatory study, descriptive and inferential statistical methods were used. 626 patients evaluated through the Risk Factors module enabled in the computer application were included. The predominant population was young, around the age of 18 to 26, with 463 women (73,96%). 8% had coronavirus infection, 98% showed mild symptoms, 8% of identified cases had a pathological history considered clinical risk, the presence of social risk factors was estimated in 6% of patients. The assessment of risk factors through the platform showed a high specificity of 87% which shows the existence of few false positives in the risk estimate and increases the validity of the result with a Positive Likelihood Rate of 1,5. The development of a risk factor assessment module for Covid 19 as part of an integrated technology platform showed effectiveness in identifying and analyzing it, en allow risk stratification according to its potential to association with the severity of covid infection with this virus that undere bottoms the development of community prevention strategies.
ABSTRACT
Applied research, longitudinal and prospective experimental explanatory study, was carried out, involving the development of an application based on emerging technologies for the characterization of epidemiological aspects in the COVID-19 Pandemic caused by SARS-Cov-2 coronavirus, which was applied for the purposes of this research to a sample of the population of the canton Ambato involving 911 patients. Descriptive and inferential statistical methods were applied. The most significant results were: predominated male gender, age range from 18 to 26 years, mestizo ethnic self-identification, normal weight, as clinical risk factors: Arterial Hypertension, Diabetes Mellitus type 2, Bronchial Asthma and immunosuppression status;while social risk fac-tors include overcrowding and living alone. With a higher probability of 99% the association between the presence of suggestive symptoms of the disease was demonstrated during the confirmation of cases, the most statistically significant being: dry cough, myalgias, anosmia, odinophagia, fever, diarrhea, dysgeusia and nasal obstruction, among the factors of poor prognosis predominated clinical ones. Diagnostic efficacy was evaluated through the platform, which showed a high specificity of 95%, with a lower sensitivity of 56%, endorsed by a likelihood ratio of 12, all of which demonstrates the credibility for positive diagnosis through this application.