Modelling to contain pandemics
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DOI: 10.1038/460687a
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Cited by:
- Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023. "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 311-370, April.
- G.J. Melman & A.K. Parlikad & E.A.B. Cameron, 2021. "Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation," Health Care Management Science, Springer, vol. 24(2), pages 356-374, June.
- Vivek Shastry & D Cale Reeves & Nicholas Willems & Varun Rai, 2022. "Policy and behavioral response to shock events: An agent-based model of the effectiveness and equity of policy design features," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-21, January.
- Ge, Yuanzheng & Song, Zhichao & Qiu, Xiaogang & Song, Hongbin & Wang, Yong, 2013. "Modular and hierarchical structure of social contact networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4619-4628.
- Weiwei Zhang & Shiyong Liu & Nathaniel Osgood & Hongli Zhu & Ying Qian & Peng Jia, 2023. "Using simulation modelling and systems science to help contain COVID‐19: A systematic review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 207-234, January.
- Arnaud Mignan, 2022. "Categorizing and Harmonizing Natural, Technological, and Socio-Economic Perils Following the Catastrophe Modeling Paradigm," IJERPH, MDPI, vol. 19(19), pages 1-32, October.
- Singh, Anurag & Arquam, Md, 2022. "Epidemiological modeling for COVID-19 spread in India with the effect of testing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
- An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
- Elaine O Nsoesie & Richard J Beckman & Madhav V Marathe, 2012. "Sensitivity Analysis of an Individual-Based Model for Simulation of Influenza Epidemics," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-16, October.
- Li, Zhenning & Xu, Chengzhong & Bian, Zilin, 2022. "A force-driven model for passenger evacuation in bus fires," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
- Fangfang Liu & Zheng Ma & Ziqing Wang & Shaobo Xie, 2022. "Trade-Off between COVID-19 Pandemic Prevention and Control and Economic Stimulus," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
- Sándor Kovács & Mohammad Fazle Rabbi & Domicián Máté, 2021. "Global Food Security, Economic and Health Risk Assessment of the COVID-19 Epidemic," Mathematics, MDPI, vol. 9(19), pages 1-16, September.
- Flaminio Squazzoni & J. Gareth Polhill & Bruce Edmonds & Petra Ahrweiler & Patrycja Antosz & Geeske Scholz & Emile Chappin & Melania Borit & Harko Verhagen & Francesca Giardini & Nigel Gilbert, 2020. "Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-10.
- Nadia N Abuelezam & Kathryn Rough & George R Seage III, 2013. "Individual-Based Simulation Models of HIV Transmission: Reporting Quality and Recommendations," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
- Wouter Vermeer & Arthur Hjorth & Samuel M. Jenness & C Hendrick Brown & Uri Wilensky, 2020. "Leveraging Modularity During Replication of High-Fidelity Models: Lessons from Replicating an Agent-Based Model for HIV Prevention," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-7.
- Sabah Bushaj & Xuecheng Yin & Arjeta Beqiri & Donald Andrews & İ. Esra Büyüktahtakın, 2023. "A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization," Annals of Operations Research, Springer, vol. 328(1), pages 245-277, September.
- Juan Miguel Rodriguez-Lopez & Meike Schickhoff & Shubhankar Sengupta & Jürgen Scheffran, 2021. "Technological and social networks of a pastoralist artificial society: agent-based modeling of mobility patterns," Journal of Computational Social Science, Springer, vol. 4(2), pages 681-707, November.
- Martin Jaraiz, 2020. "Ants, robots, humans: a self-organizing, complex systems modeling approach," Papers 2009.10823, arXiv.org, revised Oct 2020.
- Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
- Telalagic, S., 2012. "Optimal Treatment of an SIS Disease with Two Strains," Cambridge Working Papers in Economics 1229, Faculty of Economics, University of Cambridge.
- J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
- Datta, Amitava & Winkelstein, Peter & Sen, Surajit, 2022. "An agent-based model of spread of a pandemic with validation using COVID-19 data from New York State," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
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