Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
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Updated
Mar 9, 2023 - Python
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Epidemiology analysis package
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.
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
🌏🌎🌍 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.
Curso Intermediário de R para análise de situação de saúde
Data analysis for colorectal cancer projects, mainly using metabolomics data.
Game theoretical modelling of COVID-19 vaccine adoption
rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
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.
Syllabus, schedule, and data for EPIB 704 course at McGill University
Network data analysis using networkx, and gephi for visualisations.
Data analysis and modeling of the COVID-19 propagation dynamics
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
Data analysis focusing on health problems
The serial interval of an infectious disease is the time between illness onset in an infector-infectee pair. This repository contains routines to estimate features of the serial interval based on transmission pair data. The approach is entirely data-driven and relies on a resampling technique (bootstrap).
Fitting GPs to count data for non-linear regression of epi-curves
Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.
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