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

Infodemiology and Infoveillance (1468) JMIR Theme Issue: COVID-19 Special Issue (2500) Public Health Policy (71)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46589, first published .
Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study

Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study

Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study

Authors of this article:

Chen Chen1, 2 Author Orcid Image ;   Junli Zhu1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
JMIR Publications JMIR Publications @jmirpub

New in JMIR: Quantifying Health #Policy Uncertainty in China Using Newspapers: Text Mining #Study https://t.co/3va5mKPWXz https://t.co/PzuRWMkMTi

4:25 PM · Nov 14, 2023

0
1
Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Quantifying Health #Policy Uncertainty in China Using Newspapers: Text Mining #Study https://t.co/3va5mKPWXz http…

4:26 PM · Nov 14, 2023

0
1
Tom Bellis Tom Bellis @tommybellis

Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study https://t.co/4aDAJsGQEG https://t.co/YKokIsGmDb

4:39 PM · Nov 14, 2023

0
0