Do responses to the COVID-19 pandemic anticipate a long-lasting shift towards peer-to-peer production or degrowth?

LR Dartnell, K Kish - Sustainable Production and Consumption, 2021 - Elsevier
The COVID-19 pandemic simultaneously triggered a sudden, substantial increase in
demand for items such as personal protection equipment and hospital ventilators whilst also …

[HTML][HTML] DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era

D Restrepo, C Wu, C Vásquez-Venegas… - Research …, 2024 - ncbi.nlm.nih.gov
In the big data era, integrating diverse data modalities poses significant challenges,
particularly in complex fields like healthcare. This paper introduces a new process model for …

Modeling COVID-19 incidence with Google trends

LB Amusa, H Twinomurinzi… - Frontiers in research …, 2022 - frontiersin.org
Infodemiologic methods could be used to enhance modeling infectious diseases. It is of
interest to verify the utility of these methods using a Nigerian case study. We used Google …

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis

SMB Shahabi‐Haghighi, H Hamidifar - Hydrological Processes, 2023 - Wiley Online Library
Effective drought monitoring is of paramount importance in hydrology. It aids in mitigating the
detrimental effects of water scarcity, facilitates sustainable resource management, and …

Csdleeg: Identifying confused students based on eeg using multi-view deep learning

H Abu-gellban, Y Zhuang, L Nguyen… - 2022 IEEE 46th …, 2022 - ieeexplore.ieee.org
Distance learning has dramatically increased in recent years because of advanced
technology. In addition, numerous universities had to offer courses in online mode in 2020 …

Analyzing cyberchondriac Google Trends data to forecast waves and avoid friction: lessons from COVID-19 in India

A Rao, GD Sharma, V Pereira… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article examines the Google Trends data related to the second COVID-19 wave in India.
We investigate the phenomenon of cyberchondria, which potentially causes individuals to …

From naive interest to shortage during covid-19: A google trends and news analysis

AE Rojas, LC Rojas-Pérez… - … Conference on Applied …, 2023 - Springer
Google Trends is a web-based tool for analyzing audience interests, tracking the popularity
of events, and identifying emerging trends that could become a crowd purchase intention …

Search queries related to COVID-19 based on keyword extraction

L Kelebercová, M Munk - Procedia computer science, 2022 - Elsevier
Background Pandemic COVID-19 caused an infodemic–massive spread of true and fake
information about novel coronavirus. This study aims to present the possibility of using …

The Russian View on the War in Ukraine: Insights from Google Trends

A Kupfer, H Puhr - Available at SSRN 4063194, 2022 - papers.ssrn.com
As the Russian attack on Ukraine commenced on February 24, 2022, Western media was
full of interpretations and predictions about the Russian public's opinion on the war …

Public sentiment on the Israeli–Palestinian conflict: insights from YouTube, Mastodon, and Google Trends

F Mazzeo Rinaldi, V Miracula, A Picone… - Mathematical …, 2024 - Taylor & Francis
This research employs a comprehensive methodology to delve into public sentiments
surrounding the Israeli–Palestinian conflict, incorporating unconventional data sources …