Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study
Original Paper
[키워드] 2019-nCoV
activity
Analysis
analyzed
API
calculated
Care
caused
collected
concern
coronavirus disease
Coronavirus, COVID-19
COVID-19
COVID-19 pandemic
database
disease detection
Disease surveillance
economic loss
English language
Frequency
Government
Health
health informatics
health information
help
highest
identify
inclusion criteria
increasingly
infodemiology
information
infoveillance
Interaction
International
lowest
media
Metadata
National
objective
organization
organizations
pandemic
performed
positive
PostgreSQL
programming
provide
Psychological well-being
Public
public health
ranged
Result
risk of infection
SARS-CoV-2
social media
social media platform
Spread
Surveillance
the mean
Topic
Travel
Tweeter
Twitter
unique
[DOI] 10.2196/19016 PMC 바로가기 [Article Type] Original Paper
[DOI] 10.2196/19016 PMC 바로가기 [Article Type] Original Paper