[HTML][HTML] Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review

A Mavragani, G Ochoa, KP Tsagarakis - Journal of Medical Internet …, 2018 - jmir.org
Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

Twitter and research: A systematic literature review through text mining

A Karami, M Lundy, F Webb, YK Dwivedi - IEEE access, 2020 - ieeexplore.ieee.org
Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …

[HTML][HTML] Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological …

CY Lin, A Broström, MD Griffiths, AH Pakpour - Internet interventions, 2020 - Elsevier
Introduction Due to the serious situation of the novel coronavirus disease 2019 (COVID-19)
worldwide, many countries have implemented policies to minimize the spread of COVID-19 …

World leaders' usage of Twitter in response to the COVID-19 pandemic: a content analysis

SR Rufai, C Bunce - Journal of public health, 2020 - academic.oup.com
Background It is crucial that world leaders mount effective public health measures in
response to COVID-19. Twitter may represent a powerful tool to help achieve this. Here, we …

Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020

C Li, LJ Chen, X Chen, M Zhang, CP Pang… - …, 2020 - eurosurveillance.org
The peak of Internet searches and social media data about the coronavirus disease 2019
(COVID-19) outbreak occurred 10–14 days earlier than the peak of daily incidences in …

[HTML][HTML] Applications of Google Search Trends for risk communication in infectious disease management: A case study of the COVID-19 outbreak in Taiwan

A Husnayain, A Fuad, ECY Su - International Journal of Infectious Diseases, 2020 - Elsevier
Objective An emerging outbreak of a novel coronavirus, COVID-19, has now been detected
in at least 211 countries worldwide. Given this pandemic situation, robust risk …

An “infodemic”: leveraging high-volume Twitter data to understand early public sentiment for the coronavirus disease 2019 outbreak

RJ Medford, SN Saleh, A Sumarsono… - Open forum …, 2020 - academic.oup.com
Background Twitter has been used to track trends and disseminate health information during
viral epidemics. On January 21, 2020, the Centers for Disease Control and Prevention …

Predicting infectious disease using deep learning and big data

S Chae, S Kwon, D Lee - … journal of environmental research and public …, 2018 - mdpi.com
Infectious disease occurs when a person is infected by a pathogen from another person or
an animal. It is a problem that causes harm at both individual and macro scales. The Korea …

Machine learning and applications in microbiology

SJ Goodswen, JLN Barratt, PJ Kennedy… - FEMS microbiology …, 2021 - academic.oup.com
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …

Psychometric testing of three COVID-19-related scales among people with mental illness

KC Chang, WL Hou, AH Pakpour, CY Lin… - International journal of …, 2022 - Springer
Fear of novel coronavirus 2019 (COVID-19) may result in psychological health problems
among different populations. Moreover, believing COVID-19 information and preventive …