Epidemiological project to visualize the status of COVID-19 in Sergipe (Brazil)
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Updated
Jan 15, 2024 - R
Epidemiological project to visualize the status of COVID-19 in Sergipe (Brazil)
An epidemic stimulator, developed and built by brute force to learn more on biological systems.
A ecological time series study about syphilis in the city of Juiz de Fora, in Brazil
A short EDA project on the results of a fictional trial of a HbA1c2 treatment. Written in R with tidyverse, table1, and other packages.
Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.
Educational tool that aims to provide an easy way of interacting with the basic epidemiological model SIR. Can also show how it would interact with the basic idea of vaccinations and an idea of losing immunity over time (second wave of infections).
Make your epidemiological research reproducible
Projeto de machine learning para predição de taxas de internação por CSAB e clusterização para dimensionamento de ESF.
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
Fitting GPs to count data for non-linear regression of epi-curves
Inverse probability weighting for non-binary exposures. Simple example in Excel and SAS.
This repository contains reproducible research on an epidemiological model for understanding COVID-19 spreading rates, as part of the DTU Data Science course 22100: R for Bio Data Science
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
The MetaWards R package. This supports easy install of MetaWards R bindings from GitHub
Repositório para o grupo de estudos R voltado para o R na área da Saúde.
Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.
Streamlined and reproducible code for generating daily reports on tribal COVID-19 risks
Code for paper by Corbett, Schongalla, and Moen, about relationships between firearm ownership rates, mental health provider density, and firearm fatality rates.
Guide for the Baccarelli Lab GitHub
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