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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.
This project was born with the strong need to have masks for protection from COVID-19 in this historical period. I developed this model with the collaboration of my dad and I want to make it available to all the people who need it. Feel free to print and modify this model as you wish
This project aims to, both, detect masks in a human face using a CNN, in a image of a public area, that may serve as sensor for the Corona Virus state in that region, and avaliating the impact of the use of image processing techniques in the data set of this problem, such as accuracy difference, cost/benefit ratio.