Using geospatial social media data for infectious disease studies: a systematic review

F **g, Z Li, S Qiao, J Zhang, B Olatosi… - International Journal of …, 2023 - Taylor & Francis
Geospatial social media (GSM) data has been increasingly used in public health due to its
rich, timely, and accessible spatial information, particularly in infectious disease research …

Spatial analysis of COVID-19 vaccination: a sco** review

A Mollalo, A Mohammadi, S Mavaddati… - International journal of …, 2021 - mdpi.com
Spatial analysis of COVID-19 vaccination research is increasing in recent literature due to
the availability of COVID-19 vaccination data that usually contain location components …

Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network

B Nikparvar, MM Rahman, F Hatami, JC Thill - Scientific reports, 2021 - nature.com
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …

Assessment of E-government inclusion policies toward seniors: A framework and case study

M Ciesielska, N Rizun, J Chabik - Telecommunications Policy, 2022 - Elsevier
Digital exclusion of seniors covers both social and technical drivers that affect the magnitude
of this phenomenon. It arises from the fear of technology, reduced manual and mental …

[HTML][HTML] Associations between COVID-19 pandemic, lockdown measures and human mobility: longitudinal evidence from 86 countries

MM Rahman, JC Thill - … journal of environmental research and public …, 2022 - mdpi.com
Recognizing an urgent need to understand the dynamics of the pandemic's severity, this
longitudinal study is conducted to explore the evolution of complex relationships between …

Artificially intelligent readers: an adaptive framework for original handwritten numerical digits recognition with OCR Methods

PH Jain, V Kumar, J Samuel, S Singh, A Mannepalli… - Information, 2023 - mdpi.com
Advanced artificial intelligence (AI) techniques have led to significant developments in
optical character recognition (OCR) technologies. OCR applications, using AI techniques for …

Understanding internal migration in the UK before and during the COVID-19 pandemic using twitter data

Y Wang, C Zhong, Q Gao, C Cabrera-Arnau - Urban informatics, 2022 - Springer
The COVID-19 pandemic has greatly affected internal migration patterns and may last
beyond the pandemic. It raises the need to monitor the migration in an economical, effective …

Analysis of public sentiment on COVID-19 vaccination using twitter

GG Jayasurya, S Kumar, BK Singh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social media has become a vital platform for individuals, organizations, and governments
worldwide to communicate and express their views. During the coronavirus disease 2019 …

[HTML][HTML] Applications of social media and digital technologies in COVID-19 vaccination: Sco** review

S Zang, X Zhang, Y **ng, J Chen, L Lin… - Journal of medical Internet …, 2023 - jmir.org
Background Social media and digital technologies have played essential roles in
disseminating information and promoting vaccination during the COVID-19 pandemic. There …

Crisis communication during COVID-19: English, French, Portuguese, and Spanish discourse of AstraZeneca vaccine and omicron variant on social media

D Catalan-Matamoros, I Prieto-Sanchez, A Langbecker - Vaccines, 2023 - mdpi.com
Social media have been the arena of different types of discourse during the COVID-19
pandemic. We aim to characterize public discourse during health crises in different …