Published on in Vol 9 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24432, first published .
Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Journals

  1. Zeng C, Zhang J, Li Z, Sun X, Olatosi B, Weissman S, Li X. Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis. Journal of Medical Internet Research 2021;23(4):e27045 View
  2. Franch‐Pardo I, Desjardins M, Barea‐Navarro I, Cerdà A. A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020. Transactions in GIS 2021;25(5):2191 View
  3. Hu T, Wang S, She B, Zhang M, Huang X, Cui Y, Khuri J, Hu Y, Fu X, Wang X, Wang P, Zhu X, Bao S, Guan W, Li Z. Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. International Journal of Digital Earth 2021;14(9):1126 View
  4. Li Z, Huang X, Ye X, Jiang Y, Martin Y, Ning H, Hodgson M, Li X. Measuring global multi-scale place connectivity using geotagged social media data. Scientific Reports 2021;11(1) View
  5. De Ridder D, Loizeau A, Sandoval J, Ehrler F, Perrier M, Ritch A, Violot G, Santolini M, Greshake Tzovaras B, Stringhini S, Kaiser L, Pradeau J, Joost S, Guessous I. Detection of Spatiotemporal Clusters of COVID-19–Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study. JMIR Research Protocols 2021;10(10):e30444 View
  6. Li Z, Huang X, Hu T, Ning H, Ye X, Huang B, Li X, Yang C. ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility. PLOS ONE 2021;16(8):e0255259 View
  7. McKitrick M, Schuurman N, Crooks V. Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis. GeoJournal 2022;88(1):1035 View
  8. Wang P, Zheng X, Liu H. Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review. Frontiers in Public Health 2022;10 View
  9. Hill D, Larsen D, Van Boeckel T. Using geographic information systems to link population estimates to wastewater surveillance data in New York State, USA. PLOS Global Public Health 2023;3(1):e0001062 View
  10. Erol S, Aksoy Ç, Sağıroğlu Ş. Social big data applications and challenges. Concurrency and Computation: Practice and Experience 2023;35(5) View
  11. Wen C, Liu W, He Z, Liu C. Research on emergency management of global public health emergencies driven by digital technology: A bibliometric analysis. Frontiers in Public Health 2023;10 View
  12. Jalali N, Tran N, Sen A, Morita P. Identifying the Socioeconomic, Demographic, and Political Determinants of Social Mobility and Their Effects on COVID-19 Cases and Deaths: Evidence From US Counties. JMIR Infodemiology 2022;2(1):e31813 View
  13. 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
  14. Strielkowski W, Zenchenko S, Tarasova A, Radyukova Y. Management of Smart and Sustainable Cities in the Post-COVID-19 Era: Lessons and Implications. Sustainability 2022;14(12):7267 View
  15. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View