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

#xPublicandGlobalHealth (34) JMIR Theme Issue: COVID-19 Special Issue (2461) Statistical Methods for Surveillance and Population Health (158) Outbreak and Pandemic Preparedness and Management (1743) #xInfectiousDiseases (28)

Published on in Vol 2, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.09.13.20193599v1, first published .
A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development

A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development

A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development

Authors of this article:

Giuseppe Giacopelli1 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. 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
  2. Harweg T, Wagner M, Weichert F. Agent-Based Simulation for Infectious Disease Modelling over a Period of Multiple Days, with Application to an Airport Scenario. International Journal of Environmental Research and Public Health 2022;20(1):545 View
  3. Giacopelli G. Author’s Response to Peer Reviews of “A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development”. JMIRx Med 2021;2(3):e32798 View
  4. Du H, Yuan Z, Wu Y, Yu K, Sun X. An LBS and agent-based simulator for Covid-19 research. Scientific Reports 2022;12(1) View
  5. . Peer Review of “A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development”. JMIRx Med 2021;2(3):e32796 View
  6. . Peer Review of “A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development”. JMIRx Med 2021;2(3):e32797 View
  7. Palermo M, Policarpo L, Costa C, Righi R. Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics. Network Modeling Analysis in Health Informatics and Bioinformatics 2022;11(1) View
  8. Kumaresan V, Balachandar N, Poole S, Myers L, Varghese P, Washington V, Jia Y, Lee V, Alamoodi A. Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universities. PLOS ONE 2023;18(3):e0283517 View
  9. Weligampola H, Ramanayake L, Ranasinghe Y, Ilangarathna G, Senarath N, Samarakoon B, Godaliyadda R, Herath V, Ekanayake P, Ekanayake J, Maheswaran M, Theminimulle S, Rathnayake A, Dharmaratne S, Pinnawala M, Yatigammana S, Tilakaratne G. Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities. Sustainability 2023;15(14):11120 View
  10. Maslova I, Manolov A, Glushchenko O, Kozlov I, Tsurkis V, Popov N, Samoilov A, Lukashev A, Ilina E. Limitations in creating artificial populations in agent-based epidemic modeling: a systematic review. Journal of microbiology, epidemiology and immunobiology 2024;101(4):530 View

Books/Policy Documents

  1. Paul A. Global Perspectives of COVID-19 Pandemic on Health, Education, and Role of Media. View