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

mHealth for Data Collection and Research (955) JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Participatory Epidemiology and Surveillance (119) Surveillance Systems (462)

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 (11) Tweetations (1) Metrics

Journals

  1. Trevino J, Keswani M, Pourmand A. A Web-Based Digital Contact Tracing Strategy Addresses Stigma Concerns Among Individuals Evaluated for COVID-19. Telemedicine and e-Health 2022;28(3):317 View
  2. Saheb T, Sabour E, Qanbary F, Saheb T. Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies. Technology in Society 2022;69:101968 View
  3. Mao Z, Zou Q, Yao H, Wu J. The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China. BMC Public Health 2021;21(1) View
  4. Majeed A, Hwang S. A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. IEEE Access 2021;9:164159 View
  5. Liu J, Liu S, Xu X, Zou Q. Can Digital Transformation Promote the Rapid Recovery of Cities from the COVID-19 Epidemic? An Empirical Analysis from Chinese Cities. International Journal of Environmental Research and Public Health 2022;19(6):3567 View
  6. Zhao S, Chong M, Ryu S, Guo Z, He M, Chen B, Musa S, Wang J, Wu Y, He D, Wang M, Chowell G. Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility. PLOS Computational Biology 2022;18(6):e1010281 View
  7. Zou Q, Mao Z, Yan R, Liu S, Duan Z. Vision and reality of e-government for governance improvement: Evidence from global cross-country panel data. Technological Forecasting and Social Change 2023;194:122667 View
  8. Chauhan A, Kumar P. A Novel Approach for Controlling the Spread of Viral Diseases Using Epidemic Role Index (ERI) and Graph-Theoretic Contract Tracing Model. SN Computer Science 2024;5(5) View
  9. Song J, Wen D, Xu L, Qin L, Zhang W, Lin X. On Querying Historical Connectivity in Temporal Graphs. Proceedings of the ACM on Management of Data 2024;2(3):1 View
  10. O'Dwyer B, Jaana M, Hui C, Chreim S, Ellis J. Digital Contact Tracing Implementation Among Leaders and Health Care Workers in a Pediatric Hospital During the COVID-19 Pandemic: Qualitative Interview Study. JMIR Public Health and Surveillance 2024;10:e64270 View

Books/Policy Documents

  1. Lefèvre T, Colineaux H, Morgand C, Tournois L, Delpierre C. Artificial Intelligence in Covid-19. View