This is a project I worked on with several other individuals in December of 2020. This project is hosted publicly and used by the Butler County Health Department of Ohio.

Construcción de indicadores socioeconómicos mediante un análisis del Censo de Población y Vivienda 2020, utilizando variables relevantes en modelos predictivos de salud. Con estos indicadores se busca poder determinar las contribuciones relativas de los factores sociales y económicos, en diferentes modelos predictivos relacionados a la salud.

The data, R programming, and outputs for the research paper testing glucose consumption and cognitive factors. I used R to clean, process, model, and visualize the data. The outputs folder contains the finished products. Link to paper pending.

A ecological time series study about syphilis in the city of Juiz de Fora, in Brazil

📊 Central repo of UI and server code for SIS exploratory dashboard

Scripts related to "Associations between sensory processing sensitivity, health, and environments"

This project seeks to capture several performance variables of the health sector, including waiting times, rescheduling, treatment and follow-up of each citizen, generating a digital medical profile taking into consideration the quantitative and qualitative state of the facilities, supplies and different types of employees.

This repository presents a study on tobacco product consumption around the world, utilizing R for exploratory data analysis and statistical tests. The dataset is collected and sourced from the World Health Organization.

An algorithm for Evans Day weight lifting app.

Information on the Spanish Health Survey

Determining the most important predictors of diarrhoea in children under five in South and Southeast Asia by exploring the spatiotemporal association between diarrhoeal incidence and various behavioural, socio-demographic, and environmental factors.

GHRtools website

Belgian Index of Multiple Deprivation measures spatio-temporal relative deprivation in Belgium. BIMD combines six dimensions: education, income, employment, housing, crime and health.

Code-based spatial accessibility analysis made easy

This was my final project for MGSC 310, I utilized R and Rstudio to visualize the data and make simple machine learning models to help predict which factors are most likely to contribute to a diagnosis of Obesity.

R package for Ontario Marginalization

This is a repository for a project in my capstone class. This contains a web app I developed in R using the shiny package. The focus of this project was to develop an effective data collection system and analysis. The project had put us in a simulated scenario where we worked at Statistical Computing Department at the University of Calgary and w…

Download data from Estonian Health Statistics Database

Seminario sobre el impacto de la calidad del aire sobre la infertilidad en la población europea.