Text mining of the media coverage of major public health emergencies: a case study of COVID-19
Shanghai Journal of Preventive Medicine
; 33(3):203-211, 2021.
Article
in Chinese
| GIM | ID: covidwho-1975560
ABSTRACT
Objective:
Based on the text analysis of COVID-19 media report, text mining was used to probe the trend of major public health emergencies and response of the government and social subjects in China.
public health; trends; human diseases; viral diseases; coronavirus disease 2019; case studies; mass media; coverage; emergencies; emotions; epidemics; Severe acute respiratory syndrome coronavirus 2; man; China; APEC countries; East Asia; Asia; high Human Development Index countries; upper-middle income countries; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; People's Republic of China; SARS-CoV-2; viral infections; news media
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Type of study:
Case report
Language:
Chinese
Journal:
Shanghai Journal of Preventive Medicine
Year:
2021
Document Type:
Article
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