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epidemiology-analysis
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Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
🌏🌎🌍 Liberate Google Takeout location data for epidemiological research and local contact tracing https://epi-collect.org
Info/Data (global/italy) about COVID-19. PR welcome for other countries.
Data analysis for colorectal cancer projects, mainly using metabolomics data.
Game theoretical modelling of COVID-19 vaccine adoption
Curso Intermediário de R para análise de situação de saúde
Genomic Epidemiology of SARS-CoV-2 in Pakistan
Code for paper by Corbett, Schongalla, and Moen, about relationships between firearm ownership rates, mental health provider density, and firearm fatality rates.
rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
Network data analysis using networkx, and gephi for visualisations.
Data analysis and modeling of the COVID-19 propagation dynamics
Data analysis focusing on health problems
An epidemic stimulator, developed and built by brute force to learn more on biological systems.
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.
Fitting GPs to count data for non-linear regression of epi-curves
Repositório para o grupo de estudos R voltado para o R na área da Saúde.