COVID-19 vs media: Time series data analysis towards media and COVID-19 epidemic data-Reference-Cited by-同舟云学术

COVID-19 vs media: Time series data analysis towards media and COVID-19 epidemic data

Published:2021-10-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications
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Author:

Khotimah Purnomo¹,Latifah Arnida¹,Syafarina Inna¹,Shabrina Ayu¹,Nugraheni Ekasari¹,Rozie Andri¹

Affiliation:

1. National Research and Innovation Agency, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489088.3489132

Reference23 articles.

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2. Tweetluenza: Predicting flu trends from twitter data

3. Eiji Aramaki , Sachiko Maskawa , and Mizuki Morita . 2011 . Twitter catches the flu: detecting influenza epidemics using Twitter . In Proceedings of the 2011 Conference on empirical methods in natural language processing. 1568–1576 . Eiji Aramaki, Sachiko Maskawa, and Mizuki Morita. 2011. Twitter catches the flu: detecting influenza epidemics using Twitter. In Proceedings of the 2011 Conference on empirical methods in natural language processing. 1568–1576.

4. Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases

5. Assessment of the SARS-CoV-2 basic reproduction number, R0, based on the early phase of COVID-19 outbreak in Italy