COVID-19 App

🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

Epidemic Modeling for Everyone

COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

Mathematical Modeling of Infectious Disease Dynamics

An easy-to-use PWA to monitor the user's wellness and learn about COVID-19.

COVID-19 Hospital Impact Model for Epidemics

Unified COVID-19 Dataset

Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

Epidemiology analysis package

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

R Package for Analyzing John Snow's 1854 Cholera Map

Recognize bio-medical entities from a text corpus

BioDynaMo is a high-performance and modular, agent-based simulation platform.

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

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.

Source files for building the IDM EMOD disease transmission model.

Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

An agent-based epidemiology simulation framework built in Rust

Red Cross: Community-Based Surveillance

Race and ethnicity Imputation from Disease history with Deep LEarning

Build Petri net models compositionally

Unpivoted and cleaned data sets on the COVID-19 pandemic

Bayesian spatial analysis

Pyro models of SARS-CoV-2 variants

Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

Split Kmer Analysis

A modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment