Pandemic model with data-driven phase detection, a study using COVID-19 data-Reference-Cited by-同舟云学术

Pandemic model with data-driven phase detection, a study using COVID-19 data

Published:2021-12-17 Issue: Volume: Page:1-15
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Liu Yuansan¹^ORCID,Srivastava Saransh¹,Huang Zuo¹,Vázquez-Abad Felisa J.¹²

Affiliation:

1. The University of Melbourne, Melbourne, Australia

2. Hunter College and Graduate Center CUNY, New York, NY, USA

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1982652

Reference36 articles.

1. Actions-User, Ustayev, A., Lavoie, S., Winstral, T., Mchedlishvili, I., Morisset, C. & Pollock, R. (2020). Covid-19 dataset. Retrieved August 24, 2020, from https://github.com/datasets/covid-19

2. Seasonality and period-doubling bifurcations in an epidemic model

3. A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model

4. Cheung, H. (2020). Why attitudes to masks have changed around the world. Retrieved July 14, 2020, from https://www.bbc.com/news/world-53394525

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