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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) JMIR Theme Issue: COVID-19 Special Issue (2388) Outbreak and Pandemic Preparedness and Management (1673) Rapid Surveillance Report (13) Infectious Diseases (non-STD/STI) (1478) Surveillance Systems (427) Innovative Methods in Public Health and Surveillance (305) Statistical Methods for Surveillance and Population Health (146)

Published on in Vol 7, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27317, first published .
Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis

Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis

Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis

Authors of this article:

Amanda MY Chu1 Author Orcid Image ;   Jacky NL Chan2 Author Orcid Image ;   Jenny TY Tsang1 Author Orcid Image ;   Agnes Tiwari3, 4 Author Orcid Image ;   Mike KP So2 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Chu A, Chan J, Tsang J, Tiwari A, So M. Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis. JMIR Public Health and Surveillance 2021;7(3):e27317 View
  2. Liu W, So M, Chu A. Dynamic covariance modeling with artificial neural networks. Communications in Statistics: Case Studies, Data Analysis and Applications 2022;8(1):15 View
  3. Manca F, Pawlak J, Sivakumar A. Impact of perceptions and attitudes on air travel choices in the post-COVID-19 era: A cross-national analysis of stated preference data. Travel Behaviour and Society 2023;30:220 View
  4. So M, Mak A, Chu A. Assessing systemic risk in financial markets using dynamic topic networks. Scientific Reports 2022;12(1) View
  5. Wang Z, Meng C, Yao M, Claramunt C. Modelling the Risk of Imported COVID-19 Infections at Maritime Ports Based on the Mobility of International-Going Ships. ISPRS International Journal of Geo-Information 2022;11(1):60 View
  6. De Angelis M, Durastanti C, Giovannoni M, Moretti L. Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario: The role of the highway network. Transportation Research Interdisciplinary Perspectives 2022;15:100646 View
  7. Liang Y, Gong Z, Guo J, Cheng Q, Yao Z. Spatiotemporal analysis of the morbidity of global Omicron from November 2021 to February 2022. Journal of Medical Virology 2022;94(11):5354 View
  8. Zhou Y, Feng L, Zhang X, Wang Y, Wang S, Wu T. Spatiotemporal patterns of the COVID-19 control measures impact on industrial production in Wuhan using time-series earth observation data. Sustainable Cities and Society 2021;75:103388 View
  9. Kwok W, Wong C, Ma T, Ho K, Fan L, Chan K, Chan S, Tam T, Ho P. Modelling the impact of travel restrictions on COVID-19 cases in Hong Kong in early 2020. BMC Public Health 2021;21(1) View
  10. Liu J, Lai S, Rai A, Hassan A, Mushtaq R. Exploring the Potential of Big Data Analytics in Urban Epidemiology Control: A Comprehensive Study Using CiteSpace. International Journal of Environmental Research and Public Health 2023;20(5):3930 View
  11. So M, Mak A, Chan J, Chu A, Siudak D. Standardized local assortativity in networks and systemic risk in financial markets. PLOS ONE 2023;18(10):e0292327 View
  12. Chu A, Chong A, Lai N, Tiwari A, So M. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19. JMIR Public Health and Surveillance 2023;9:e42446 View
  13. Shan B, Yuan X, Ni W, Wang X, Liu R, Dutkiewicz E. Novel Graph Topology Learning for Spatio-Temporal Analysis of COVID-19 Spread. IEEE Journal of Biomedical and Health Informatics 2023;27(6):2693 View
  14. Fragua Á, Jiménez-Martín A, Mateos A. Complex network analysis techniques for the early detection of the outbreak of pandemics transmitted through air traffic. Scientific Reports 2023;13(1) View
  15. Kim D, Cánovas-Segura B, Campos M, Juarez J. Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review. Technologies 2024;12(3):31 View
  16. Korneenkov A, Ovchinnikov P, Vyazemskaya E, Medvedeva A, Yanov Y. Information systems as a source of meaningful information in an epidemic: experience and lessons in restoring routine otorhinolaryngology care after the COVID-19 pandemic. Meditsinskiy sovet = Medical Council 2024;(7):160 View