The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis

W Pian, J Chi, F Ma - Information processing & management, 2021 - Elsevier
An unprecedented infodemic has been witnessed to create massive damage to human
society. However, it was not thoroughly investigated. This systematic review aims to (1) …

Text mining in mosquito-borne disease: A systematic review

SQ Ong, MBM Pauzi, KH Gan - Acta tropica, 2022 - Elsevier
Mosquito-borne diseases are emerging and re-emerging across the globe, especially after
the COVID19 pandemic. The recent advances in text mining in infectious diseases hold the …

A multiple feature category data mining and machine learning approach to characterize and detect health misinformation on social media

L Safarnejad, Q Xu, Y Ge, S Chen - IEEE Internet Computing, 2021 - ieeexplore.ieee.org
In this article, we characterize health misinformation infiltration as a dynamic dissemination
process on social media in addition to content-based features. Using Zika discussion on …

[HTML][HTML] Infoveillance of the Croatian online media during the COVID-19 pandemic: one-year longitudinal study using natural language processing

S Beliga, S Martinčić-Ipšić, M Matešić… - JMIR public health …, 2021 - publichealth.jmir.org
Background Online media play an important role in public health emergencies and serve as
essential communication platforms. Infoveillance of online media during the COVID-19 …

[HTML][HTML] A novel machine learning framework for comparison of viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis

S Chen, L Zhou, Y Song, Q Xu, P Wang, K Wang… - Journal of medical …, 2021 - jmir.org
Background Social media plays a critical role in health communications, especially during
global health emergencies such as the current COVID-19 pandemic. However, there is a …

[HTML][HTML] Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks

B Khemani, S Patil, K Kotecha, D Vora - MethodsX, 2024 - Elsevier
In the digital age, the proliferation of health-related information online has heightened the
risk of misinformation, posing substantial threats to public well-being. This research …

[HTML][HTML] Dynamic associations between centers for disease control and prevention social media contents and epidemic measures during COVID-19: infoveillance …

S Yin, S Chen, Y Ge - JMIR infodemiology, 2024 - infodemiology.jmir.org
Background Health agencies have been widely adopting social media to disseminate
important information, educate the public on emerging health issues, and understand public …

Lung transplantation in a woman with paraquat poisoning that led to pulmonary fibrosis—Widely reported by the media: A case report

Y Wu, N Li, S Li, S Song - Medicine, 2022 - journals.lww.com
Interventions: Extensive media coverage has attracted the attention of all sectors of society.
The patient received financial assistance; thus, she could receive a double-lung transplant …

[PDF][PDF] Combination of BERT and Hybrid CNN-LSTM Models for Indonesia Dengue Tweets Classification.

W Anggraeni, MFA Kusuma, E Riksakomara… - International Journal of …, 2024 - inass.org
In the era of social media and online communication, the surveillance and classification of
disease-related information in real-time is crucial. Twitter data on dengue-related are rarely …

[PDF][PDF] Rethinking the infodemic: social media and offline action in the COVID-19 pandemic

LW Heyerdahl, B Lana… - Socio-life science and the …, 2022 - library.oapen.org
In parallel with the COVID-19 pandemic, an infodemic—an information epidemic—
challenges human populations across the planet. Often framed as an enemy to be …