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

Secondary Use of Clinical Data for Research and Surveillance (367) JMIR Theme Issue: COVID-19 Special Issue (2452) Innovative Methods in Public Health and Surveillance (332) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Clinical Informatics (1022) Infectious Diseases (non-STD/STI) (1575) Surveillance Systems (462) Statistical Methods for Surveillance and Population Health (156) 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

Alessio Staffini   1, 2, 3 , MSc ;   Akiko Kishi Svensson   3, 4, 5 , MD, PhD ;   Ung-Il Chung   3, 6, 7 , MD, PhD ;   Thomas Svensson   3, 4, 6 , MD, PhD

1 Department of Economics and Finance, Catholic University of Milan, Milan, Italy

2 Project Promotion Department, ALBERT Inc, Tokyo, Japan

3 Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

4 Department of Clinical Sciences, Lund University, Malmö, Sweden

5 Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

6 School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Japan

7 Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan

Corresponding Author: