CrowdBreaks

CrowdBreaks

Track health trends using public social media data and crowdsourcing

CrowdBreaks is an open platform that combines streaming ingestion of public social media data with crowdsourced labeling and automated machine learning pipelines to track population-level health trends over time. It provides real-time dashboards of sentiment and topic trends and is designed to be extended to new health surveillance use cases.

CrowdSourceMedicalSurvey
Maturity
PrototypeIntermediateMature
Support
C4DT
Inactive
Lab
Unknown

Salathe Lab

Salathe Lab
Marcel Salathé

Prof. Marcel Salathé

The Lab of Digital Epidemiology is concerned with the dynamics of health and disease in human populations.
Research in epidemiology aims to identify the distribution, incidence, and etiology of human diseases to improve the understanding of the causes of diseases and to prevent their spread. Traditionally, epidemiology has been based on data collected by public health agencies through health personnel in hospitals, doctors’ offices, and out in the field. In recent years, however, novel data sources have emerged where data are frequently collected directly from individuals through the digital traces they leave as a consequence of modern communication and an increased use of electronic devices.

This page was last edited on 2024-04-14.