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

JMIR Theme Issue: COVID-19 Special Issue (2458) Surveillance Systems (465) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infectious Diseases (non-STD/STI) (1588) Outbreak and Pandemic Preparedness and Management (1740) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (576) Hygiene and Infection Prevention (324) Surveillance Reports (139)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22999, first published .
Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries

Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries

Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries

Authors of this article:

Stefanos Tyrovolas1, 2, 3, 4 Author Orcid Image ;   Iago Giné-Vázquez2, 3 Author Orcid Image ;   Daniel Fernández5, 6 Author Orcid Image ;   Marianthi Morena4 Author Orcid Image ;   Ai Koyanagi3, 7 Author Orcid Image ;   Mark Janko8 Author Orcid Image ;   Josep Maria Haro2, 3 Author Orcid Image ;   Yang Lin1 Author Orcid Image ;   Paul Lee1, 9 Author Orcid Image ;   William Pan8 Author Orcid Image ;   Demosthenes Panagiotakos4 Author Orcid Image ;   Alex Molassiotis1 Author Orcid Image
Article Authors Cited by (18) Tweetations (8) Metrics

Journals

  1. Nazia N, Butt Z, Bedard M, Tang W, Sehar H, Law J. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(14):8267 View
  2. 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
  3. Ha T, Asada T, Arimura M. Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities. Transportation Research Interdisciplinary Perspectives 2023;17:100744 View
  4. Tabasi M, Alesheikh A, Babaie E, Hatamiafkoueieh J. Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast Iran. Sustainability 2022;14(19):12189 View
  5. Heckert M, Bristowe A. Parks and the Pandemic: A Scoping Review of Research on Green Infrastructure Use and Health Outcomes during COVID-19. International Journal of Environmental Research and Public Health 2021;18(24):13096 View
  6. Tyrovolas S, Tsiampalis T, Morena M, Leung A, Faka A, Chalkias C, Tsiodras S, Panagiotakos D. COVID-19 Mortality in Europe, by Latitude and Obesity Status: A Geo-Spatial Analysis in 40 Countries. Nutrients 2022;14(3):471 View
  7. Xue M, Huang Z, Hu Y, Du J, Gao M, Pan R, Mo Y, Zhong J, Huang Z. Monitoring European data with prospective space–time scan statistics: predicting and evaluating emerging clusters of COVID-19 in European countries. BMC Public Health 2022;22(1) View
  8. Kim U, Sung H. Urban parks as a potential mitigator of suicide rates resulting from global pandemics: Empirical evidence from past experiences in Seoul, Korea. Cities 2022;127:103725 View
  9. Sung H, Kim W, Oh J, Lee S, Lee P. Are All Urban Parks Robust to the COVID-19 Pandemic? Focusing on Type, Functionality, and Accessibility. International Journal of Environmental Research and Public Health 2022;19(10):6062 View
  10. Guo X, Zhang H, Kou L, Hou Y. Modeling the External, Internal, and Multi-Center Transmission of Infectious Diseases: The COVID-19 Case. Journal of Social Computing 2022;3(2):171 View
  11. Alzain M, Asweto C, Atique S, Elhassan N, Kassar A, Hassan S, Humaida M, Yusuf R, Adeboye A. Effectiveness of Human Mobility Change in Reducing the Spread of COVID-19: Ecological Study of Kingdom of Saudi Arabia. Sustainability 2022;14(6):3368 View
  12. Hunter R, Nieuwenhuijsen M, Fabian C, Murphy N, O'Hara K, Rappe E, Sallis J, Lambert E, Duenas O, Sugiyama T, Kahlmeier S. Advancing urban green and blue space contributions to public health. The Lancet Public Health 2023;8(9):e735 View
  13. Pavlidou E, Papadopoulou S, Mentzelou M, Dakanalis A, Vorvolakos T, Antasouras G, Spanoudaki M, Pandi A, Serdari A, Chrysafi M, Dimoliani S, Giaginis C. Association of Mediterranean Diet Adherence with Sociodemographic, Anthropometric, and Lifestyle Factors during the COVID-19 Pandemic: A Cross-Sectional Study in Greece. Nutrients 2023;15(19):4123 View
  14. Pavlidou E, Poulios E, Papadopoulou S, Fasoulas A, Dakanalis A, Giaginis C. Clinical Evidence on the Potential Beneficial Effects of Diet and Dietary Supplements against COVID-19 Infection Risk and Symptoms’ Severity. Medical Sciences 2024;12(1):11 View
  15. Ba-Break M, Donnelly S, Saleh M, Kaity A, Alwaqedi A, Badheeb A, Mohammed N, Alosaimi A, Al-Haddi J, Annuzaili D. COVID-19 surveillance in fragile health systems, armed conflict and humanitarian crisis, the case of Yemen. International Journal of Healthcare Management 2024:1 View
  16. Morris R, Wang S. Building a Pathway to One Health Surveillance and Response in Asian Countries. Science in One Health 2024:100067 View
  17. Pavlidou E, Papadopoulou S, Antasouras G, Spanoudaki M, Mentzelou M, Dimoliani S, Tsourouflis G, Psara E, Vorvolakos T, Dakanalis A, Tryfonos C, Vadikolias K, Kyrana Z, Bisbinas A, Chrisafi M, Bisbinas I, Angelakou E, Giaginis C. Evaluating the sociodemographic, anthropometric and lifestyle parameters, depression, quality of life, cognitive status, physical activity, and Mediterranean diet adherence of older adults in pre- and post-Covid-19 periods: a comparative cross-sectional study. Psychology & Health 2024;39(13):2013 View

Books/Policy Documents

  1. Ntatamala I, Naidoo R, Ncayiyana J, Jeebhay M. Coronavirus (COVID-19) Outbreaks, Vaccination, Politics and Society. View