Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study
BackgroundWith the spread of COVID-19, an infodemic is also emerging. In public health emergencies, the use of information to enable disease prevention and treatment is incredibly important. Although both the information adoption model (IAM) and health belief model (HBM) have their own merits, they...
Saved in:
Main Authors: | Han, Yangyang (Author), Jiang, Binshan (Author), Guo, Rui (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-03-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Social Media Overload as a Predictor of Depressive Symptoms Under the COVID-19 Infodemic: A Cross-Sectional Survey From Chinese University Students
by: Tian Xie, et al.
Published: (2023) -
Information Retrieval in an Infodemic: The Case of COVID-19 Publications
by: Douglas Teodoro, et al.
Published: (2021) -
Rethinking information ecosystems and infodemics
by: The Lancet Public Health
Published: (2024) -
Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions
by: Xi Chen, et al.
Published: (2022) -
Short Communication Infodemic: The epidemic of information during COVID-19
by: Raman Sharma, et al.
Published: (2022)