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) Infectious Diseases (non-STD/STI) (1478) Outbreak and Pandemic Preparedness and Management (1673) Hygiene and Infection Prevention (297) Statistical Methods for Surveillance and Population Health (146) Surveillance Systems (427) Health Services in Resource-Poor Settings and LMICs (371) Innovative Methods in Public Health and Surveillance (305)

Published on in Vol 8, No 8 (2022): August

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35840, first published .
Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Authors of this article:

Wei Luo1 Author Orcid Image ;   Zhaoyin Liu1 Author Orcid Image ;   Yuxuan Zhou1 Author Orcid Image ;   Yumin Zhao2 Author Orcid Image ;   Yunyue Elita Li3 Author Orcid Image ;   Arif Masrur4 Author Orcid Image ;   Manzhu Yu4 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Tong C, Shi W, Zhang A, Shi Z. A Spatiotemporal Solution to Control COVID-19 Transmission at the Community Scale for Returning to Normalcy: COVID-19 Symptom Onset Risk Spatiotemporal Analysis. JMIR Public Health and Surveillance 2023;9:e36538 View
  2. Abdul Rashid M, Syed Mohamad S, Tajjudin A, Roslan N, Jaffar A, Mohideen F, Addnan F, Baharom N, Ithnin M. COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in Malaysia. International Journal of Environmental Research and Public Health 2023;20(5):4476 View
  3. Luo W, He L, Yang Z, Zhang S, Wang Y, Liu D, Hu S, He L, Xia J, Chen M. Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography 2023;154:102923 View
  4. Luo W, Zhou Y, Liu Z, Kang W, He S, Zhu R, Li R, Huang B. Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”. Health & Place 2023;81:103000 View
  5. Luo W, Liu Q, Zhou Y, Ran Y, Liu Z, Hou W, Pei S, Lai S. Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the United States in the post-COVID-19 era. BMC Public Health 2023;23(1) View
  6. McClymont H, Hu W. The effect of public health interventions on COVID-19 incidence in Queensland, Australia: a spatial cluster analysis. Infectious Diseases 2024;56(6):460 View
  7. Liu Z, Li Y, Law A, Tan J, Chua W, Zhu Y, Feng C, Luo W. Association between NO 2 and human mobility: a two-year spatiotemporal study during the COVID-19 pandemic in Southeast Asia. Annals of GIS 2024:1 View

Books/Policy Documents

  1. Laovisutthichai V, Lu W, Tam K, Lau S. Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. View