Population subgroup differences in the use of a COVID-19 chatbot
Abstract COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 ch...
Saved in:
Main Authors: | Laura C. Schubel, Deliya B. Wesley, Ethan Booker, John Lock, Raj M. Ratwani |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/8888afdf17b949e99bbb7bb7fde4f83f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Chatbots in the fight against the COVID-19 pandemic
by: Adam S. Miner, et al.
Published: (2020) -
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations
by: Amelia J. Averitt, et al.
Published: (2020) -
Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA
by: Raj Dandekar, et al.
Published: (2021) -
Estimating the efficacy of symptom-based screening for COVID-19
by: Alison Callahan, et al.
Published: (2020) -
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong
by: Jiandong Zhou, et al.
Published: (2021)