COVID-19 Risk Estimation using a Time-varying SIR-model
Author:
Affiliation:
1. Viterbi School of Engineering, University of Southern California, Los Angeles, USA
2. Office of the Mayor, City of Los Angeles, Los Angeles, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3423459.3430759
Reference10 articles.
1. Marshall Maximilian Dong Ensheng Squire Marietta Badr Hamada Du Hongru and Gardner Lauren. 2020. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet Infectious Diseases (2020). Marshall Maximilian Dong Ensheng Squire Marietta Badr Hamada Du Hongru and Gardner Lauren. 2020. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet Infectious Diseases (2020).
2. Luís Bettencourt and Ruy Ribeiro. 2008. Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases. PloS one 3 (02 2008) e2185. https://doi.org/10.1371/journal.pone.0002185 Luís Bettencourt and Ruy Ribeiro. 2008. Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases. PloS one 3 (02 2008) e2185. https://doi.org/10.1371/journal.pone.0002185
3. Fred Brauer. 2005. The Kermack-McKendrick epidemic model revisited. Mathematical biosciences 198 2 (2005) 119--131. Fred Brauer. 2005. The Kermack-McKendrick epidemic model revisited. Mathematical biosciences 198 2 (2005) 119--131.
4. Sheryl L. Chang Nathan Harding Cameron Zachreson Oliver M. Cliff and Mikhail Prokopenko. 2020. Modelling transmission and control of the COVID-19 pandemic in Australia. arXiv:q-bio.PE/2003.10218 Sheryl L. Chang Nathan Harding Cameron Zachreson Oliver M. Cliff and Mikhail Prokopenko. 2020. Modelling transmission and control of the COVID-19 pandemic in Australia. arXiv:q-bio.PE/2003.10218
5. Yu-Chun Chen Ping-En Lu and Cheng-Shang Chang. 2020. A Time-dependent SIR model for COVID-19. ArXiv abs/2003.00122 (2020). Yu-Chun Chen Ping-En Lu and Cheng-Shang Chang. 2020. A Time-dependent SIR model for COVID-19. ArXiv abs/2003.00122 (2020).
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