Exploring the Factors behind COVID-19 Surge: Predictive Modeling and Analysis-Reference-Cited by-同舟云学术

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Exploring the Factors behind COVID-19 Surge: Predictive Modeling and Analysis

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
language:
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Author:

P Aniruddha Prabhu B¹,Sharma Tushar²,Dani Rakesh³,Singh Malkeet¹,Rautela Abhay¹,Singh Rashmi¹

Affiliation:

1. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

2. Graphic Era (Deemed to be) University,Department of Computer Science and Engineering,Dehradun,India

3. Graphic Era (Deemed to be) University,Department of Hospitality Management,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307109.pdf?arnumber=10307109

Reference23 articles.

1. Air quality in the New Delhi metropolis under COVID-19 lockdown;kaloni;Soft Computing Systems,2022

2. The Effects of Air Pollution on COVID-19 Infection and Mortality—A Review on Recent Evidence

3. Epidemic Outbreak Prediction with Ensemble of Deep Learning Models

4. Non-pharmaceutical interventions during the COVID-19 pandemic: A review

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