Data analysis for colorectal cancer projects, mainly using metabolomics data.
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Updated
May 29, 2024 - R
Data analysis for colorectal cancer projects, mainly using metabolomics data.
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
Code for paper by Corbett, Schongalla, and Moen, about relationships between firearm ownership rates, mental health provider density, and firearm fatality rates.
Make your epidemiological research reproducible
This is a repository for the research methods course taught at the University of Canterbury. All study materials, exercises, readings, and data for analyses are kept here.
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
Genomic Epidemiology of SARS-CoV-2 in Pakistan
Epidemiological project to visualize the status of COVID-19 in Sergipe (Brazil)
rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.
Streamlined and reproducible code for generating daily reports on tribal COVID-19 risks
Game theoretical modelling of COVID-19 vaccine adoption
Epidemiology analysis package
Repositório para o grupo de estudos R voltado para o R na área da Saúde.
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org
Ecological study for COVID-19 using aggregate data of Catalonia using RStudio
A short EDA project on the results of a fictional trial of a HbA1c2 treatment. Written in R with tidyverse, table1, and other packages.
Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.
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