Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline.

John Caskey Iain L McConnell Madeline K Oguss Dmitriy Dligach Rachel Kulikoff Brittany Grogan Crystal Gibson Elizabeth Wimmer Traci E DeSalvo Edwin E Nyakoe-Nyasani Matthew M Churpek Majid Afshar

Published in: JMIR public health and surveillance (2022)

We developed a novel pipeline of tools that identified existing outbreaks and novel clusters with associated addresses. Our pipeline ingests data from a statewide database and may be deployed to assist local health departments for targeted interventions.

Keyphrases

public health
coronavirus disease
sars cov
healthcare
mental health
autism spectrum disorder
infectious diseases
electronic health record
physical activity
big data
health information
adverse drug
machine learning
social media
data analysis
drug delivery
deep learning