This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (103) Artificial Intelligence (1186) JMIR Theme Issue: COVID-19 Special Issue (2388) Public Health (158) Statistical Methods for Surveillance and Population Health (146) Simulation (95) COVID-19 Vaccination (126) Outbreak and Pandemic Preparedness and Management (1673) Infectious Diseases (non-STD/STI) (1478)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27419, first published .
Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study

Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study

Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study

Authors of this article:

Junjiang Li1 Author Orcid Image ;   Philippe Giabbanelli1 Author Orcid Image
Article Authors Cited by (46) Tweetations (17) Metrics

Journals

  1. Gursoy D, Can A, Williams N, Ekinci Y. Evolving impacts of COVID-19 vaccination intentions on travel intentions. The Service Industries Journal 2021;41(11-12):719 View
  2. Soto-Ferrari M, Carrasco-Pena A, Prieto D. AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study. Journal of Business Analytics 2023;6(3):217 View
  3. Kumar N, Oke J, Nahmias-Biran B. Activity-based epidemic propagation and contact network scaling in auto-dependent metropolitan areas. Scientific Reports 2021;11(1) View
  4. Nie Z, Xu L, Zhang H, Cao Y, Zhang C, Pan J, Zhang J. Crowding and vaccination: Tourist's two-sided perception on crowding and the moderating effect of vaccination status during COVID-19 pandemic. Journal of Destination Marketing & Management 2022;24:100705 View
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  7. Katoto P, Parker S, Coulson N, Pillay N, Cooper S, Jaca A, Mavundza E, Houston G, Groenewald C, Essack Z, Simmonds J, Shandu L, Couch M, Khuzwayo N, Ncube N, Bhengu P, Rooyen H, Wiysonge C. Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study. Vaccines 2022;10(3):353 View
  8. Song F, Bachmann M. Vaccination against COVID-19 and society’s return to normality in England: a modelling study of impacts of different types of naturally acquired and vaccine-induced immunity. BMJ Open 2021;11(11):e053507 View
  9. Daghriri T, Proctor M, Matthews S. Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration. International Journal of Environmental Research and Public Health 2022;19(6):3230 View
  10. Beerman J, Beaumont G, Giabbanelli P. A Scoping Review of Three Dimensions for Long-Term COVID-19 Vaccination Models: Hybrid Immunity, Individual Drivers of Vaccinal Choice, and Human Errors. Vaccines 2022;10(10):1716 View
  11. Sun J, Sarfraz M, Khawaja K, Ozturk I, Raza M. The Perils of the Pandemic for the Tourism and Hospitality Industries: Envisaging the Combined Effect of COVID-19 Fear and Job Insecurity on Employees’ Job Performance in Pakistan. Psychology Research and Behavior Management 2022;Volume 15:1325 View
  12. Cattaneo A, Vitali A, Mazzoleni M, Previdi F. An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region. Computer Methods and Programs in Biomedicine 2022;224:107029 View
  13. Noi E, Rudolph A, Dodge S. VASA: an exploratory visualization tool for mapping spatio-temporal structure of mobility – a COVID-19 case study. Cartography and Geographic Information Science 2024;51(2):275 View
  14. Streilein W, Finklea L, Schuldt D, Schiefelbein M, Yahalom R, Ali H, Norige A. Evaluating COVID-19 Exposure Notification Effectiveness With SimAEN: A Simulation Tool Designed for Public Health Decision Making. Public Health Reports 2022;137(2_suppl):83S View
  15. Omae Y, Sasaki M, Toyotani J, Hara K, Takahashi H. Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. IEEE Access 2022;10:43044 View
  16. Omae Y, Kakimoto Y, Sasaki M, Toyotani J, Hara K, Gon Y, Takahashi H. SIRVVD model-based verification of the effect of first and second doses of COVID-19/SARS-CoV-2 vaccination in Japan. Mathematical Biosciences and Engineering 2021;19(1):1026 View
  17. Chu J, Morikawa H, Chen Y. Simulation of SARS-CoV-2 epidemic trends in Tokyo considering vaccinations, virus mutations, government policies and PCR tests. BioScience Trends 2023;17(1):38 View
  18. Thompson J, Wattam S, Simuunza M. Estimating the impact of interventions against COVID-19: From lockdown to vaccination. PLOS ONE 2021;16(12):e0261330 View
  19. Suppan M, Stuby L, Harbarth S, Fehlmann C, Achab S, Abbas M, Suppan L. Nationwide Deployment of a Serious Game Designed to Improve COVID-19 Infection Prevention Practices in Switzerland: Prospective Web-Based Study. JMIR Serious Games 2021;9(4):e33003 View
  20. Bushaj S, Yin X, Beqiri A, Andrews D, Büyüktahtakın İ. A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization. Annals of Operations Research 2023;328(1):245 View
  21. Nittayasoot N, Suphanchaimat R, Thammawijaya P, Jiraphongsa C, Siraprapasiri T, Ploddi K, Pittayawonganon C, Mahasirimongkol S, Tharmaphornpilas P. Real-World Effectiveness of COVID-19 Vaccines against Severe Outcomes during the Period of Omicron Predominance in Thailand: A Test-Negative Nationwide Case–Control Study. Vaccines 2022;10(12):2123 View
  22. Liu S, Wei C, Kalgotra P, Cobanoglu C. Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing. International Journal of Hospitality Management 2022;104:103248 View
  23. Eryarsoy E, Shahmanzari M, Tanrisever F. Models for government intervention during a pandemic. European Journal of Operational Research 2023;304(1):69 View
  24. Rykovanov G, Lebedev S, Zatsepin O, Kaminskii G, Karamov E, Romanyukha A, Feigin A, Chetverushkin B. Agent-Based Simulation of the COVID-19 Epidemic in Russia. Herald of the Russian Academy of Sciences 2022;92(4):479 View
  25. Ansari S, Du H, Naghdy F, Sattar A. Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation. Journal of Transport & Health 2023;28:101563 View
  26. Lutz C, Giabbanelli P. When Do We Need Massive Computations to Perform Detailed COVID‐19 Simulations?. Advanced Theory and Simulations 2022;5(2) View
  27. Maehashi R, Nagaoka R, Nigoshi Y, Hayashi Y, Moriguchi R, Kakimoto Y, Toyotani J, Hara K, Takahashi H, Omae Y. Mathematical Model Considering Effect of COVID-19 Contact-Confirming Application (COCOA) and “GoTo Travel Campaign”. Journal of Physics: Conference Series 2021;2090(1):012022 View
  28. Ekinci Y, Gursoy D, Can A, Williams N. Does travel desire influence COVID-19 vaccination intentions?. Journal of Hospitality Marketing & Management 2022;31(4):413 View
  29. Childs M, Wong T. Assessing parameter sensitivity in a university campus COVID-19 model with vaccinations. Infectious Disease Modelling 2023;8(2):374 View
  30. Abdulaziz Alsufyani A. Post-COVID-19 effect on biochemical parameters in children: Should we take heed?. Saudi Journal of Biological Sciences 2023;30(5):103649 View
  31. Iyaniwura S, Ringa N, Adu P, Mak S, Janjua N, Irvine M, Otterstatter M, Pitzer V. Understanding the impact of mobility on COVID-19 spread: A hybrid gravity-metapopulation model of COVID-19. PLOS Computational Biology 2023;19(5):e1011123 View
  32. Beerman J, Beaumont G, Giabbanelli P. A framework for the comparison of errors in agent-based models using machine learning. Journal of Computational Science 2023;72:102119 View
  33. Silva M, de Oliveira F, Pinto A, Luciano M, Garcia M, Araújo F, Fonseca M. Antibody response following the fourth SARS‐CoV‐2 vaccine dose during the Omicron wave in Brazil. Journal of Medical Virology 2023;95(8) View
  34. Sadeghi N, Gerami-Seresht N. Improving occupational safety in office spaces in the post-pandemic era. Sustainable Cities and Society 2023;98:104781 View
  35. Adam C, Arduin H. Agent-based epidemics simulation to compare and explain screening and vaccination prioritization strategies. SIMULATION 2024;100(4):335 View
  36. Vlasov V, Deryabin A, Zatsepin O, Kaminsky G, Karamov E, Karmanov A, Lebedev S, Rykovanov G, Sokolov A, Teplykh M, Turgiyev A, Khatuntsev K. Mathematical Modelling of COVID-19 Incidence in Moscow with an Agent-Based Model. Journal of Applied and Industrial Mathematics 2023;17(2):433 View
  37. Schuerkamp R, Liang L, Rice K, Giabbanelli P. Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art. Computers 2023;12(7):132 View
  38. Akpan I, Shanker M, Offodile O. Discrete‐event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID‐19 global health pandemic. International Transactions in Operational Research 2024;31(4):2069 View
  39. Espinosa O, Mora L, Sanabria C, Ramos A, Rincón D, Bejarano V, Rodríguez J, Barrera N, Álvarez-Moreno C, Cortés J, Saavedra C, Robayo A, Franco O. Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review. Systematic Reviews 2024;13(1) View
  40. Rosenstrom E, Ivy J, Mayorga M, Swann J. COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina. Epidemics 2024;46:100752 View
  41. Kargar B, MohajerAnsari P, Esra Büyüktahtakın İ, Jahani H, Talluri S. Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study. Transportation Research Part E: Logistics and Transportation Review 2024;184:103494 View

Books/Policy Documents

  1. Li J, Giabbanelli P. Computational Science – ICCS 2021. View
  2. Mukherjee U, Seshadri S. Tutorials in Operations Research: Emerging and Impactful Topics in Operations. View