Regression Models for Epidemiology
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Updated
May 15, 2024 - TeX
Regression Models for Epidemiology
Facilitates cleaning, exploring and visualising large epidemiological datasets.
Detect iSNV and construct whole viral genomes from metagenomic samples
Python package for statistical inference and forecast of epi models using multiple signals
Tracking reported MPX cases in North Carolina
Epidemiology modelling framework for the Thanzi la Onse project
An API, a query engine, and a database schema for genomic sequences; currently with a focus on SARS-CoV-2
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Shiny webapp for epiworldR package
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
An R package for epidemiological analysis using population data
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi.org/10.18637/jss.v104.i03.
Bayesian spatial analysis
[Under active development] - A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Code necessary to conduct all data prep and analysis in the EPoCH study.
R package with library of epidemiological parameters for infectious diseases and functions and classes for working with parameters
R Package for Analyzing John Snow's 1854 Cholera Map
This repository is contains the code for the DETECT follow-up interviews master descriptive tables.
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