Understanding public perceptions of COVID-19 contact tracing apps: Artificial intelligence-enabled social media analysis

Kathrin Cresswell, Ahsen Tahir, Zakariya Sheikh, Zain Hussain, Andrés Domínguez Hernández, Ewen Harrison, Robin Williams, Aziz Sheikh, Amir Hussain

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
Original languageEnglish
Article numbere26618
JournalJournal of Medical Internet Research
Volume23
Issue number5
DOIs
Publication statusPublished - 17 May 2021

Bibliographical note

Funding Information:
This work is supported by the Scottish Government Chief Scientist Office under its COVID-19 priority research program (grant COV/NAP/20/07), and by BREATHE - The Health Data Research Hub for Respiratory Health [MC_PC_19004]. BREATHE is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research, United Kingdom. AH is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) (grants EP/T021063/1 and EP/T024917/1). KC is supported by a Scottish Government Chief Scientist Office Research Grant exploring the potential of next-generation health information technology.

Publisher Copyright:
© Kathrin Cresswell, Ahsen Tahir, Zakariya Sheikh, Zain Hussain, Andrés Domínguez Hernández, Ewen Harrison, Robin Williams, Aziz Sheikh, Amir Hussain. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.05.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

Structured keywords

  • Covid19

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