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

mHealth for Data Collection and Research (982) JMIR Theme Issue: COVID-19 Special Issue (2461) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infectious Diseases (non-STD/STI) (1594) Outbreak and Pandemic Preparedness and Management (1743) Participatory Epidemiology and Surveillance (119) Surveillance Systems (468)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26836, first published .
Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study

Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study

Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study

Authors of this article:

Zijun Mao1, 2 Author Orcid Image ;   Hong Yao1, 2 Author Orcid Image ;   Qi Zou1, 2 Author Orcid Image ;   Weiting Zhang1, 2 Author Orcid Image ;   Ying Dong1, 2, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Zijun Mao   1, 2 , PhD ;   Hong Yao   1, 2 , PhD ;   Qi Zou   1, 2 , PhD ;   Weiting Zhang   1, 2 , MA ;   Ying Dong   1, 2, 3 , BA

1 College of Public Administration, Huazhong University of Science and Technology, Wuhan, China

2 Non-traditional Security Research Center, Huazhong University of Science and Technology, Wuhan, China

3 School of Law and Humanities, China University of Mining and Technology, Beijing, China

Corresponding Author:

  • Zijun Mao, PhD
  • College of Public Administration
  • Huazhong University of Science and Technology
  • 1037 Luoyu Road
  • Wuhan, 430074
  • China
  • Phone: 86 15871410683
  • Email: maozijun@hust.edu.cn