Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Epidemiology analysis package
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Info/Data (global/italy) about COVID-19. PR welcome for other countries.
Game theoretical modelling of COVID-19 vaccine adoption
Clinical cohort data, from raw file to reproducible evidence: data quality, an analysis population with its participant flow, multiple imputation pooled with Rubin's rules, survival models and a Word study dossier. Local-first, open source.
A SEIRS-NIMFA compartmental epidemiological model implementation adapted for the analysis of IoT network malware propagation
Outbreak signal detection with CDC EARS C1/C2/C3 and CUSUM on COVID-19 case data or any daily count series (Streamlit app).
Fitting GPs to count data for non-linear regression of epi-curves
Python codes used for analyzing large datasets for machine learning, statistics, data cleaning and structuring, visualizations, etc.
Real-world analysis of chronic kidney disease (CKD) in primary care in the Dominican Republic, integrating clinical and sociodemographic data with a reproducible Python pipeline.
Interactive agent-based epidemic simulator built with Dash and NumPy. Supports real-world and fictional disease presets, quarantine modeling, and live SEIRD curve tracking.
This python application takes the information from the spread of COVID-19 in the US and determines the effectiveness of the Stay At Home Orders for each state. To analyze the effectiveness, I used a cubic least square polynomial and the SIR model and compared these two models before and after date the stay at home orders were issued.
Spatial epidemic simulation using an SIR grid model with periodic boundary conditions (Python, NumPy, Matplotlib)
2020 北京数据开放大赛
A Python package for calculating the Dietary Inflammatory Index (DII) from nutrient intake data
Simulation des modèles épidémiques SIR et SEIR en Python : comparaison d'Euler et Runge-Kutta 4, étude de convergence et effet de l'incubation
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
Este projeto de Engenharia de Dados em Saúde Pública implementa um pipeline completo para coletar, tratar, padronizar, validar, integrar e visualizar dados públicos do SUS relacionados ao Diabetes Mellitus no Brasil, filtrando pelos códigos CID-10 E10 a E14.
Educational tool that aims to provide an easy way of interacting with the basic epidemiological model SIR. Can also show how it would interact with the basic idea of vaccinations and an idea of losing immunity over time (second wave of infections).
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