Regression Models for Epidemiology
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Updated
Jun 11, 2024 - TeX
Regression Models for Epidemiology
R package to clean and standardize epidemiological data
Detect iSNV and construct whole viral genomes from metagenomic samples
An API, a query engine, and a database schema for genomic sequences; currently with a focus on SARS-CoV-2
An R package for importing epi data into R.
R package to estimate disease severity and under-reporting in real-time, accounting for reporting delays in epidemic time-series
Python package for statistical inference and forecast of epi models using multiple signals
A repository for the Quarto version of R4Epi.
Compartmental Epidemic Models in Python
Portal de dados do Projeto Alerta Dengue
R package with library of epidemiological parameters for infectious diseases and functions and classes for working with parameters
[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.
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.
A web platform to detect and analyze variants of SARS-CoV-2
R Package for Analyzing John Snow's 1854 Cholera Map
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
R package for handling linelist data
Epidemiology modelling framework for the Thanzi la Onse project
Facilitates cleaning, exploring and visualising large epidemiological datasets.
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