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

Secondary Use of Clinical Data for Research and Surveillance (375) JMIR Theme Issue: COVID-19 Special Issue (2461) Innovative Methods in Public Health and Surveillance (336) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Clinical Informatics (1050) Infectious Diseases (non-STD/STI) (1592) Surveillance Systems (466) Statistical Methods for Surveillance and Population Health (158) Public Health Policy (62)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24192, first published .
An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study

An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study

An Agent-Based Model of the Local Spread of SARS-CoV-2: Modeling Study

Authors of this article:

Alessio Staffini1, 2, 3 Author Orcid Image ;   Akiko Kishi Svensson3, 4, 5 Author Orcid Image ;   Ung-Il Chung3, 6, 7 Author Orcid Image ;   Thomas Svensson3, 4, 6 Author Orcid Image
Article Authors Cited by (12) Tweetations (8) Metrics

Journals

  1. Allen A, Boudreau M, Roberts N, Allard A, Hébert-Dufresne L. Predicting the diversity of early epidemic spread on networks. Physical Review Research 2022;4(1) View
  2. Kühn M, Abele D, Binder S, Rack K, Klitz M, Kleinert J, Gilg J, Spataro L, Koslow W, Siggel M, Meyer-Hermann M, Basermann A. Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants in Germany. BMC Infectious Diseases 2022;22(1) View
  3. McCue-Weil L, Knight M, Driscoll M, Jenkins P, Sorensen J. A Case Study on the Practical Use of Low-Fidelity Modeling to Mitigate the Spread of COVID-19 Amongst the Underserved Farmworker Community. La Matematica 2023;2(1):223 View
  4. Endriss U, Nowé A, Gini M, Lesser V, Luck M, Paiva A, Sichman J. Autonomous agents and multiagent systems. AI Matters 2021;7(3):29 View
  5. Botz J, Wang D, Lambert N, Wagner N, Génin M, Thommes E, Madan S, Coudeville L, Fröhlich H. Modeling approaches for early warning and monitoring of pandemic situations as well as decision support. Frontiers in Public Health 2022;10 View
  6. Eryarsoy E, Shahmanzari M, Tanrisever F. Models for government intervention during a pandemic. European Journal of Operational Research 2023;304(1):69 View
  7. 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
  8. Lei H, Zhang N, Niu B, Wang X, Xiao S, Du X, Chen T, Yang L, Wang D, Cowling B, Li Y, Shu Y. Effect of Rapid Urbanization in Mainland China on the Seasonal Influenza Epidemic: Spatiotemporal Analysis of Surveillance Data From 2010 to 2017. JMIR Public Health and Surveillance 2023;9:e41435 View
  9. Berg de Almeida G, Mendes Simon L, Maria Bagattini Â, Quarti Machado da Rosa M, Borges M, Felizola Diniz Filho J, de Souza Kuchenbecker R, Kraenkel R, Pio Ferreira C, Alves Camey S, Castelo Branco Fortaleza C, Toscano C, Croda J. Dynamic transmission modeling of COVID-19 to support decision-making in Brazil: A scoping review in the pre-vaccine era. PLOS Global Public Health 2023;3(12):e0002679 View
  10. Nitzsche C, Simm S. Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2. Scientific Reports 2024;14(1) View
  11. Gwon N, Jeong W, Kim J, Oh K, Jun J. Effects of Intervention Timing on Health-Related Fake News: Simulation Study. JMIR Formative Research 2024;8:e48284 View
  12. 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