Prediction of COVID-19 Transmission in the United States Using Google Search Trends-Reference-Cited by-同舟云学术

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Prediction of COVID-19 Transmission in the United States Using Google Search Trends

Published:2022 Issue:1 Volume:71 Page:1751-1768
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Rizwan Hassan Syed,Ahmad Ishtiaq,Nebhen Jamel,Ur Rehman Ateeq,Shafiq Muhammad,Choi Jin-Ghoo

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v71n1/45386/pdf

Cited by 4 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. From Naive Interest to Shortage During COVID-19: A Google Trends and News Analysis;Communications in Computer and Information Science;2023-10-24

2. Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data;JMIR Mental Health;2023-01-30

3. Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa;BMC Public Health;2023-01-19

4. The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19;Mathematical Modeling and Intelligent Control for Combating Pandemics;2023

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