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

ABSTRACT:

Background

From the severe acute respiratory syndrome (SARS) outbreak in 2003 to the COVID-19 pandemic in 2019, a series of health measures and policies have been introduced from the central to the local level in China. However, no study has constructed an uncertainty index that can reflect the volatility, risk, and policy characteristics of the health environment.

Objective

We used text mining analysis on mainstream newspapers to quantify the volume of reports about health policy and the total number of news articles and to construct a series of indexes that could reflect the uncertainty of health policy in China.

Methods

Using the Wisenews database, 11 of the most influential newspapers in mainland China were selected to obtain the sample articles. The health policy

SUBMITTER: Chen C 

PROVIDER: S-EPMC10685290 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature