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Using data from the 2018 and 2021 General Social Survey, I examine the effect of confidence in medical and scientific communities on individuals’ health outcomes before and during the COVID-19 pandemic using ordered logistic regression and heterogeneous choice models.
🦠 Predictive model on the evolution of Covid-19 in Espírito Santo - Brazil, considering factors such as trend, seasonality, error, cyclicality and autocorrelation
Análisis que tuvo como objetivo establecer mediciones relativas de las cifras de vacunados, muertos y contagiados por COVID-19 en el Perú para ser parte de un paper sobre el COVID y la resilencia del Sistema de Salud.
A Github repository containing code for a study on Covid-19 detection through Chest X-rays using deep learning and custom algorithms. Achieved an accuracy range of 82-88 percent by analyzing pneumonia traces.
Shows realtime stats about the COVID-19 CORONAVIRUS OUTBREAK. These are taken from the site https://www.worldometers.info/coronavirus/ by command and also auto if something changes from the last information given.