Pattern Analysis of COVID-19 Based On Geotagged Social Media Data with Sociodemographic Factors-Reference-Cited by-同舟云学术

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Pattern Analysis of COVID-19 Based On Geotagged Social Media Data with Sociodemographic Factors

Published:2022-09-01 Issue: Volume: Page:
ISSN:
Container-title:2022 27th International Conference on Automation and Computing (ICAC)
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Author:

Sabareesha Seelam Sree Sai¹,Bhattacharjee Shrutilipi¹,Shetty Ramya D¹

Affiliation:

1. National Institute of Technology Karnataka,Department of Information Technology,Surathkal,Mangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9911058/9911059/09911119.pdf?arnumber=9911119

Reference18 articles.

1. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities

2. Coronavirus (COVID-19) Geo-tagged Tweets Dataset;lamsal,2020

3. CoWIN, Ministry of Health and Family Welfare,2021

4. IndiaCensus, Ministry of Health and Family Welfare,2021

5. Periodic Labour Force survey, Ministry of Statistics and Programme Implementation,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the determinants of vaccine hesitancy in the United States: A comparison of social surveys and social media;PLOS ONE;2024-06-06

2. A Comparative Study of Temporal and Static Networks in Modeling Pathogen Transmission within School Environments;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

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