Modelling transmission and control of the COVID-19 pandemic in Australia

Citations

Cited by:

1. Marc Diederichs & Reyn van Ewijk & Ingo E. Isphording & Nico Pestel, 2022. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(26), pages 2201724119-, June.
   • Isphoring, Ingo E. & Diederichs, Marc & van Ewijk, Reyn & Pestel, Nico, 2021. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," ROA Research Memorandum 008, Maastricht University, Research Centre for Education and the Labour Market (ROA).
   • Ingo E. Isphording & Marc Diederichs & Reyn van Ewijk & Nico Pestel, 2021. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Working Papers 2116, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
   • Isphording, Ingo E. & Diederichs, Marc & van Ewijk, Reyn & Pestel, Nico, 2021. "Schools under Mandatory Testing Can Mitigate the Spread of SARS-CoV-2," IZA Discussion Papers 14844, Institute of Labor Economics (IZA).
   • Isphoring, Ingo E. & Diederichs, Marc & van Ewijk, Reyn & Pestel, Nico, 2021. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Research Memorandum 018, Maastricht University, Graduate School of Business and Economics (GSBE).
2. Meng, Xueyu & Han, Sijie & Wu, Leilei & Si, Shubin & Cai, Zhiqiang, 2022. "Analysis of epidemic vaccination strategies by node importance and evolutionary game on complex networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
3. Nathan H. Schumaker & Sydney M. Watkins, 2021. "Adding Space to Disease Models: A Case Study with COVID-19 in Oregon, USA," Land, MDPI, vol. 10(4), pages 1-13, April.
4. Yingfei Wang & Inbal Yahav & Balaji Padmanabhan, 2024. "Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19," Information Systems Research, INFORMS, vol. 35(1), pages 120-144, March.
5. Shailesh Bharati & Rahul Batra, 2021. "How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data," Papers 2102.07198, arXiv.org.
6. Hafiz Suliman Munawar & Sara Imran Khan & Zakria Qadir & Yusra Sajid Kiani & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2021. "Insights into the Mobility Pattern of Australians during COVID-19," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
7. Mimi E. Lam, 2021. "United by the global COVID-19 pandemic: divided by our values and viral identities," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-6, December.
8. Leonardo López & Xavier Rodó, 2020. "The end of social confinement and COVID-19 re-emergence risk," Nature Human Behaviour, Nature, vol. 4(7), pages 746-755, July.
9. Mohamed R Ibrahim & James Haworth & Aldo Lipani & Nilufer Aslam & Tao Cheng & Nicola Christie, 2021. "Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-22, January.
10. Ahmad B. Hassanat & Sami Mnasri & Mohammed A. Aseeri & Khaled Alhazmi & Omar Cheikhrouhou & Ghada Altarawneh & Malek Alrashidi & Ahmad S. Tarawneh & Khalid S. Almohammadi & Hani Almoamari, 2021. "A Simulation Model for Forecasting COVID-19 Pandemic Spread: Analytical Results Based on the Current Saudi COVID-19 Data," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
11. Leonardo José Mataruna-Dos-Santos & Pedro da Gama Roberto de Albuquerque & Gabriel de Almeida Vasconcellos & Rodrigo Mendonça do Nascimento & Nadine Tonelli Cavalari & Daniel Range & Andressa Fontes G, 2021. "An Analysis Safe Protocols Employed in Professional Male Soccer and the Impacts of the COVID-19 Pandemic on the 2020 Brazilian Championship," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
12. Chen, Kexin & Pun, Chi Seng & Wong, Hoi Ying, 2023. "Efficient social distancing during the COVID-19 pandemic: Integrating economic and public health considerations," European Journal of Operational Research, Elsevier, vol. 304(1), pages 84-98.
13. Zhang, Junyi & Zhang, Runsen & Ding, Hongxiang & Li, Shuangjin & Liu, Rui & Ma, Shuang & Zhai, Baoxin & Kashima, Saori & Hayashi, Yoshitsugu, 2021. "Effects of transport-related COVID-19 policy measures: A case study of six developed countries," Transport Policy, Elsevier, vol. 110(C), pages 37-57.
14. Panarello, Demetrio & Tassinari, Giorgio, 2022. "One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern?," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
15. Gallo, Edoardo & Barak, Darija & Langtry, Alastair, 2023. "Social distancing in networks: A web-based interactive experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
16. Nagel, Kai & Rakow, Christian & Müller, Sebastian A., 2021. "Realistic agent-based simulation of infection dynamics and percolation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
17. Gregory L Watson & Di Xiong & Lu Zhang & Joseph A Zoller & John Shamshoian & Phillip Sundin & Teresa Bufford & Anne W Rimoin & Marc A Suchard & Christina M Ramirez, 2021. "Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-20, March.
18. Choi, Youngran & Zou, Li & Dresner, Martin, 2022. "The effects of air transport mobility and global connectivity on viral transmission: Lessons learned from Covid-19 and its variants," Transport Policy, Elsevier, vol. 127(C), pages 22-30.
19. Nguyen, Tri K. & Hoang, Nam H. & Currie, Graham & Vu, Hai L., 2022. "Enhancing Covid-19 virus spread modeling using an activity travel model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 186-199.
20. Bloise, Francesco & Tancioni, Massimiliano, 2021. "Predicting the spread of COVID-19 in Italy using machine learning: Do socio-economic factors matter?," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 310-329.
21. C. C. Sreelakshmi & Sangeetha K. Prathap, 2024. "Effect of COVID-19 health threat on consumer’s perceived value towards mobile payments in India: a means-end model," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 763-787, September.
22. Daniel K Sewell & Aaron Miller & for the CDC MInD-Healthcare Program, 2020. "Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in the District of Columbia," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
23. Eckhard Platen, 2020. "Stochastic Modelling of the COVID-19 Epidemic," Research Paper Series 409, Quantitative Finance Research Centre, University of Technology, Sydney.
24. Ma, Xiangyu & Zhou, Huijie & Li, Zhiyi, 2021. "On the resilience of modern power systems: A complex network perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
25. Tsiligianni, Christiana & Tsiligiannis, Aristeides & Tsiliyannis, Christos, 2023. "A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws," European Journal of Operational Research, Elsevier, vol. 304(1), pages 42-56.
26. Quang Dang Nguyen & Mikhail Prokopenko, 2022. "A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures," Papers 2205.08996, arXiv.org, revised Nov 2022.
27. Luis Vargas Tamayo & Vianney Mbazumutima & Christopher Thron & Léonard Todjihounde, 2021. "Three-Stage Numerical Solution for Optimal Control of COVID-19," Mathematics, MDPI, vol. 9(15), pages 1-26, July.