Characterization of epidemiological aspects in the Covid-19 pandemic from an integrated platform applied in the canton of Ambato


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 cbkp_redibility for positive diagnosis through this application.

Año de publicación:

2021

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Epidemiología

    Áreas temáticas:

    • Medicina forense; incidencia de enfermedades
    • Problemas sociales y servicios a grupos
    • Ciencias de la computación