This paper is in the following e-collection/theme issue:

Public Health Informatics (39) JMIR Theme Issue: COVID-19 Special Issue (2088) Infectious Diseases (non-STD/STI) (1224) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) Outbreak and Pandemic Preparedness and Management (1454) Surveillance Systems (359) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (121) Innovative Methods in Public Health and Surveillance (241) Natural Language Processing (490)

Published on in Vol 8 , No 3 (2022) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36119, first published .
Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline

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

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

Authors of this article:

John Caskey 1 Author Orcid Image ;   Iain L McConnell 1 Author Orcid Image ;   Madeline Oguss 1 Author Orcid Image ;   Dmitriy Dligach 2 Author Orcid Image ;   Rachel Kulikoff 3 Author Orcid Image ;   Brittany Grogan 3 Author Orcid Image ;   Crystal Gibson 3 Author Orcid Image ;   Elizabeth Wimmer 4 Author Orcid Image ;   Traci E DeSalvo 4 Author Orcid Image ;   Edwin E Nyakoe-Nyasani 4 Author Orcid Image ;   Matthew M Churpek 1 Author Orcid Image ;   Majid Afshar 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (14) Metrics

Journals

  1. Majeed A, Zhang X. On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments. COVID 2023;3(1):90 View