Project Ncovid

This page contains the documentation for the Ncovid project. The Ncovid project is an initiative from Prof. Luiz Marcos from UFRN to foment the development of human research for epidemiology forecast, motivated by the COVID-2019 pandemic.

The Ncovid framework is a set of libraries that enables rapid development and deployment of forecast models for epidemics in general. It’s main components are the webpage and the backend libraries. The site provides visualization and allow the training of models. You can check the latest version of the ncovid webpage here.

In this page documents both the current and expected versions of the ncovid system.

Note

This project is under active development.

Contents

• Overview of the Ncovid system
  • Frontend
  • Backend
  • Communication: REST API
  • A simple data flow
• Data processing
  • Data pipeline
  • Data analytics
  • Input features for COVID-19
• ML-pipeline
  • Methods
  • Training
  • Evaluation
  • Ensemble
• Software Architecture
  • Microservices
  • Intefaces
  • Tools
  • Infrastructure

Feedback

Don’t hesitate to ask about some additional info or next guides and also if you find some mistakes, please let we know. This can be done by submitting an issue or a push request on github. This manual presents many tips about sphinx documents.